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Journal articles on the topic 'E-health monitoring system'

Author: Grafiati
Published: 5 June 2025
Last updated: 8 July 2025

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1

Amin Refat, Md Rakinul, Palvinderjit Kaur, and Sathia Priya Ramiah. "E-Healthcare-Personalized Health Monitoring System." International Journal of Current Research and Review 12, no. 21 (2020): 150–54. http://dx.doi.org/10.31782/ijcrr.2020.122123.

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2

Basavaraj, Shrishail, Nellur Guruprasad, and Koli Shivaji. "E-Health Monitoring System Using NodeMCU." Advancement of Computer Technology and its Applications 6, no. 2 (2023): 27–31. https://doi.org/10.5281/zenodo.7769082.

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<em>Internet of Things (IoT) is used to communicate two or more object or devices over the internet without interaction of the human. In the present days the IoT is becoming more and more popular because of its wide variety of uses in different domains such as home automation, smart city monitoring, Transport and logistics, Smart Environment, Health Care, Smart Agriculture, Medical field, Energy Management, Retails, Marketing field etc. In this paper focus is made on Health care Domain. Health Monitoring using Node-Micontroller-Unit(MCU) is proposed to check the patient health condition dynamically without visiting the hospital. In proposed work many smart devices are used to collect the heart rate, body temperature, sugar level. from the human body. If any variance above or below normal threshold is found in human body such as heart rate, temperature and sugar level then this system will send a sms to his/her family doctor/hospital, it also shares the current location of the person as it is very useful for them to track the patient.</em>
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Chandrasekaran, R., Syed Uzma Farheen, R. J.Hemalatha, Bincy Babu, Josephin Arockiya Dhivya, and T. R Thamizhvani. "IOT based e – health care system." International Journal of Engineering & Technology 7, no. 2.25 (2018): 43. http://dx.doi.org/10.14419/ijet.v7i2.25.12366.

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One of the most important technological evolutions of our time is CLOUD COMPUTING, which describes the web computing power to store and process the information. The evolution and advancements are swiftly increasing in remote monitoring and Telemedicine. This paper aims at transmitting the physiological parameters of the subject to the private cloud called Thing Speak, an IOT based Sensor monitoring system. The physiological parameters are sent to the cloud via ESP8266 (IOT device). The cloud computing helps the physician to be connected with the patient’s data and it is helpful in monitoring the patients at any time through internet.
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Saleem, Muhammad Imran, Abdul Moid Khan, Shaheena Noor, and Muhammad Aamir. "Framework for Smart E-health Monitoring System." Indian Journal of Science and Technology 10, no. 29 (2017): 1–5. http://dx.doi.org/10.17485/ijst/2017/v10i29/117323.

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Puttaswamy, Prasanna. "Software Application for E-Health Monitoring System." IOSR Journal of Electronics and Communication Engineering 7, no. 2 (2013): 46–50. http://dx.doi.org/10.9790/2834-0724650.

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6

R, Bhoopathy. "E-Healthcare Monitoring System Using ML." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2241–47. https://doi.org/10.22214/ijraset.2025.70643.

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The challenge lies with accessibility to accurate health information and personalized health advice, which are correspondingly bedeviled by generic information and limited access in remote localities. This leads to massive occurrences of self-diagnosis, misdiagnosis, improper self-care, and bad health results. The proposed solution to the problem is the design and implementation of an "E-Health Care Monitoring System," where individuals will enter their symptoms and receive detailed information on suspected diseases, together with descriptions, precautions, medication suggestions, workout plans, and diet recommendations. Users would thus be empowered to make health decisions, sense an order of being healthy, and submit to improved health outcomes. The system will also be developed to ease access through a user-friendly interface and multilingual support to truly make it inclusive. Further, integration with wearable and health-tracking instruments will allow real-time monitoring and give personalized recommendations. Data analytics would be used along with machine learning to further the continuous improvement of the accuracy and relevance of health insights.
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Mshali, Haider, Tayeb Lemlouma, and Damien Magoni. "Adaptive monitoring system for e-health smart homes." Pervasive and Mobile Computing 43 (January 2018): 1–19. http://dx.doi.org/10.1016/j.pmcj.2017.11.001.

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C.G., Prof Thorat, Salve V.R., Thorat P.P., Taru K.R., and Hindole S.S. "Patient Health Management System using E-Health Monitoring Architecture using WSN." IJARCCE 6, no. 3 (2017): 783–84. http://dx.doi.org/10.17148/ijarcce.2017.63184.

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9

Chourasia, Vijay S., and Anil Kumar Tiwari. "Implementation of foetal e-health monitoring system through biotelemetry." International Journal of Electronic Healthcare 7, no. 1 (2012): 36. http://dx.doi.org/10.1504/ijeh.2012.048668.

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10

Kanrar, Soumen, and Prasenjit Kumar Mandal. "E-health monitoring system enhancement with Gaussian mixture model." Multimedia Tools and Applications 76, no. 8 (2016): 10801–23. http://dx.doi.org/10.1007/s11042-016-3509-9.

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11

Belli, Rahul, Priyanka Bhat, Tejas Kulkarni, and Saksham Desai. "E-HealthCare System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44183.

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The E-health care system is revolutionizing the healthcare industry by integrating digital technologies to enhance accessibility, efficiency, and quality of medical services. It encompasses telemedicine, electronic health records (EHRs), wearable devices, mobile health applications, and AI-driven diagnostic tools. By breaking down geographical barriers, e-health care ensures patients can receive consultations and monitoring remotely, fostering inclusivity for underserved populations. Additionally, it streamlines administrative processes, promotes personalized treatment plans, and facilitates real-time monitoring of chronic conditions, improving patient outcomes. Predictive analytics and AI algorithms enable proactive interventions, minimizing risks and optimizing resource allocation. However, challenges such as ensuring data privacy, addressing technological inequities, and managing cybersecurity threats need attention to fully harness the benefits of e-health care. This abstract highlight the transformative impact of the e-health care system on global healthcare delivery and its potential to create a patient-centric future.
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12

Kulkarni, Prof Mukund, Vedant Parvekar, Prathmesh Nagpure, et al. "IOT Based Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 803–8. http://dx.doi.org/10.22214/ijraset.2022.48022.

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Abstract: Applications for MHealth (Mobile Health) and E-Health (Healthcare assisted by ICT) enable many ordinary people to improve, support, and aid their health. This paper offers another online platform for periodically checking a person's health metrics. This gives doctors and other medical professionals the chance to monitor a patient's health using variables like body temperature, blood pressure, etc. Additionally, these data (the parameter readings) can be retrieved and stored. One's information is recorded upon registering (creating an account) on the website, and health measurements are tracked as and when the user logs in, delivering a personalised medical history. The website also has a function that allows users to periodically update their profile information, such as their height, weight, and age. The Arduino IDE, ESP8266, sensors, Arduino Uno, Django Python Web Framework, HTML, CSS and Bootstrap were used to construct the project.
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13

Humayun, Mamoona, Noor Z. Jhanjhi, Abdullah Almotilag, and Maram Fahhad Almufareh. "Agent-Based Medical Health Monitoring System." Sensors 22, no. 8 (2022): 2820. http://dx.doi.org/10.3390/s22082820.

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One of the leading healthcare concerns worldwide is the aging population. Aged patients require more significant healthcare resources because they are more likely to have chronic diseases that result in higher healthcare expenses. The design and implementation of e-health solutions, which offer patients mobile services to assist and enhance their treatment based on monitoring specific physiological data, is one of the key achievements in medical information technology. In the last few decades, there have been tremendous advancements in healthcare technology regarding mobility, size, speed, and communication. However, the critical drawback of today’s e-Health monitoring systems is that patients are confined to smart rooms and beds with monitoring gadgets. Such tracking is not widespread due to chronic patients’ mobility, privacy, and flexibility issues. Further, health monitoring devices that are fastened to a patient’s body do not give any analysis or advice. To improve the health monitoring process, a multi-agent-based system for health monitoring is provided in this study, which entails a group of intelligent agents that gather patient data, reason together, and propose actions to patients and medical professionals in a mobile context. A multi-agent-based framework presented in this study is evaluated through a case study. The results show that the proposed system provides an efficient health monitoring system for chronic, aged, and remote patients. Further, the proposed approach outperforms the existing mHealth system, allowing for timely health facilities for remote patients using 5G technology.
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Yani, Mohammad, Eka Ismantohadi, and Darsih Darsih. "E-SIBAYU: A Tele-Monitoring App for Monitoring Pregnant Mothers and Babies." Jurnal Matematika dan Sains 25, no. 1 (2020): 21–25. http://dx.doi.org/10.5614/jms.2020.25.1.5.

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During last six years, Indramayu had a high number of maternal and baby deaths. Even in 2016, Indramayu was as a third rank in number of maternal and baby deaths in West Java. The main cause of this problem was that there was no system to monitor the most causes of the maternal and baby deaths. Public health office could not plan what they should do because they did not have enough information about the real circumstance of pregnant mothers during their pregnancy. For consequence, public health office could not prepare well both the first and advance aid for the pregnant mothers who had a high risk for their health. That is why we propose a system that can provide features to monitor the progress of pregnant mothers especially in terms of four main causes involving the maternal and baby deaths happened, called E-SIBAYU. E- SIBAYU is developed for both mobile and web based. The mobile based app is used by midwifes to entry the health information of pregnant mothers, while the web-based app is used by public health officers to monitor all health information of pregnant mothers. The infor-mation is not only stored in cloud but also can be visualized in graphs and charts. E-SIBAYU has been used by public health office of Indramayu since 2017, and it has shown a positive impact on the decrease of number of maternal and baby deaths in that year. This paper presents the design and implementation of a tele-monitoring app for monitoring pregnant mother and babies called E-SIBAYU. This work is an initial work of future work to develop a wearable health device that will be able to measure the blood pressure of pregnant mothers and heart rate of babies in real-time where the future device will be possible to be mass produced to support industry of e-Health technology implementation.
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15

Ahmed Alahmadi, Ben Soh, and IEEE Senior Member. "Aspects Design Methodology for A Critical E-Health Monitoring System." Journal of Communications and Information Sciences 2, no. 1 (2012): 25–36. http://dx.doi.org/10.4156/jcis.vol2.issue1.3.

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16

Rahman, Nur Athilah Abdul, and Asral Bahari Jambek. "Biomedical health monitoring system design and analysis." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (2019): 1056. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1056-1064.

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&lt;span&gt;e-Health remote monitoring systems have bloomed rapidly with a myriad of applications. This paper discusses a design of a remote monitoring device for biomedical field. Four biomedical sensors which are electrocardiography (ECG), airflow, galvanic skin response and temperature with two boards which are the e-Health Shield Board V2.0 and Arduino Uno Board are used. The results show satisfactory output for each experiment using two test subjects. The device able to achieve high accuracy where percentage of temperature difference is less than 1% compared to the commercial devices with an average power consumption of each working sensor on board is ≤9W.&lt;/span&gt;
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Nur, Athilah Abdul Rahman, and Bahari Jambek Asral. "Biomedical health monitoring system design and analysis." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (2019): 1056–64. https://doi.org/10.11591/ijeecs.v13.i3.pp1056-1064.

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E-Health remote monitoring systems have bloomed rapidly with a myriad of applications. This paper discusses a design of a remote monitoring device for biomedical field. Four biomedical sensors which are electrocardiography (ECG), airflow, galvanic skin response and temperature with two boards which are the e-Health Shield Board V2.0 and Arduino Uno Board are used. The results show satisfactory output for each experiment using two test subjects. The device able to achieve high accuracy where percentage of temperature difference is less than 1% compared to the commercial devices with an average power consumption of each working sensor on board is &le;9W.&nbsp;
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18

G, Sowmya. "IOT Based Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1176–78. http://dx.doi.org/10.22214/ijraset.2021.37363.

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Abstract: The increased use of smart phones and smart devices in the health zone has brought on extraordinary effect on the world’s critical care. The Internet of things is progressively permitting to coordinate sensors fit for associating with the Internet and give data on the health condition of patients. These technologies create an amazing change in medicinal services during pandemics. Likewise, many users are beneficiaries of the M-Health (Mobile Health) applications and E-Health (social insurance upheld by ICT) to enhance, help and assist continuously to specialists who help. The main aim of this ‘IOT Health Monitoring System’ is to build up a system fit for observing vital body signs such as body temperature, heart rate, pulse oximetry etc. The System is additionally equipped measuring Room Temperature and Humidity and Atmosphere CO level. To accomplish this, the system involves many sensors to display vital signs that can be interfaced to the doctor’s smart phone as well as caretakers’ smartphone. This prototype will upload the readings from the sensor to a server remotely and the information gathered will be accessible for analysis progressively. It has the capacity of reading and transmitting vital parameters measured to the cloud server and then to any Smartphone configured with Blynk App. These readings can be utilized to recognize the health state of the patient and necessary actions can be taken if the vital parameters are not in prescribed limits for a longer period. Keywords: IOT Health Monitoring System, Vital parameters, Blynk App
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19

Sujin, J. S., N. Gandhiraj, D. Selvakumar, and Satheesh S. Kumar. "Public E-Health Network System Using Arduino Controller." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 544–49. http://dx.doi.org/10.1166/jctn.2019.7766.

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An E-health Multifunctional system is proposed for people in all age category in this work. Simply, the different sensors are fixed on a coat. When the coatis worn by people, the sensors situated in the coat will be get activated. Then it will automatically examine various parameters about health and the same information send to monitor or website or mobile. This is used for personal and social use. An example is presented with different sensor signals and continuous Real time monitoring the health changes from the home. Sensors are embedded in to the atmosphere, it will give various changes which is differs from behavior of human biological signals and activity with patterns. Changes in signals are detected to each potential point of changing health. The information from the sensors investigated and it will store and uses this for making a comparison of last 180 days status. A 1-D alert algorithm integrated to the system where the health alerts to nurse or doctor which is already fixed or pre decided. Research work is based on analyze of each alert signals and monitoring the comparative signal on the hospital relevance. This result is used for a training classes and best medical solutions. The information about health is managed for future purpose using database. A methodology is introduced in this work with 10 sensors that are capable of multisensory signals and data Management of Real-time signals. Information is processed at various sensor nodes and transfers to the main hub for further processing.
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20

Shivani, Sangamnerkar, Unawane Priyanka, and Salunke Geeta. "SOLDIER SUITS FOR HEALTH MONITORING SYSTEM." JournalNX - A Multidisciplinary Peer Reviewed Journal QIPCEI2K18 (April 30, 2018): 140–42. https://doi.org/10.5281/zenodo.1411815.

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The design of an E-uniform which provides better protection to the soldiers who are working in extreme weather conditions.The uniform is operated in two modes,summer mode &amp; winter mode . This project has an extension part which includes the interfacing of GSM,GPS &amp; Health monitoring sensors, which gives the body parameter value &amp; is also messaged to the concern person at the boundaries. Each soldier will have a GPS &amp; GSM module &amp; heartbeat sensor ,temperature sensor &amp; blood pressure sensor which will tells the based headquarter about their position,pulse rate &amp; temperature of the body. https://journalnx.com/journal-article/20150590
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21

Katake, Rushikesh S., Sachin S. Hiwale, Yogita L. Kamble, and Vinayak K. Bairagi. "E-Jacket with Health Monitoring System Using Renewable Source of Energy." International Journal of Computer Sciences and Engineering 9, no. 8 (2021): 57–59. http://dx.doi.org/10.26438/ijcse/v9i8.5759.

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22

Simon, Béla-Csaba, Stefan Oniga, and Iuliu Alexandru Pap. "Activity and health monitoring systems." Carpathian Journal of Electronic and Computer Engineering 11, no. 1 (2018): 11–14. http://dx.doi.org/10.2478/cjece-2018-0003.

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Abstract This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main components of the device are: A Raspberry Pi 3 small single-board computer, an e-Health Sensor Platform by Cooking-Hacks, a Raspberry Pi to Arduino Shields Connection Bridge and a 7-inch Raspberry Pi 3 touch screen. The processing unit is the Raspberry Pi 3 board. The Raspbian operating system runs on the Raspberry Pi 3, which provides a solid base for the software. Every examination can be controlled by the touch screen. The measurements can be started with the graphical interface by pressing a button and every measured result can be represented on the GUI’s label or on the graph. The results of every examination can be stored in a database. From that database the specialist can retrieve every personalized data.
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23

Ajinkya, Anant Bandegiri, and Chandrakant Bhaskar Pradip. "Real Time Health Monitoring System A Review." International Journal of Trend in Scientific Research and Development 2, no. 1 (2019): 820–23. https://doi.org/10.31142/ijtsrd7092.

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Generally in critical case patients are supposed to be monitored continuously for their heart rate, oxygen saturation level, blood pressure, body temperature, pulse oximetry SPO2 and ECG etc. In the previous methods, the doctors need to be present physically on sight, so that the real time health monitoring system is used every field such as hospital, home care unit, sports using wireless sensor network. This health monitoring system use for chronicle diseases patients who have daily check up. So, researchers design a system as portable device. Researcher designed different health monitoring system based on requirement. Different platform like Microcontroller, ASIC, PIC microcontroller and embedded systems are used to design the system based on this performance and in the recent years cloud based e healthcare systems have emerged. In future FPGA based or using IoT we can develop a system which will help to monitor different health parameters. Ajinkya Anant Bandegiri | Pradip Chandrakant Bhaskar &quot;Real Time Health Monitoring System: A Review&quot; Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: https://www.ijtsrd.com/papers/ijtsrd7092.pdf
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Prabu, M., P. Chella Pandi, V. A. Sarath, and R. Subash. "IoT Based E-Health Care System for Telemedicine." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1628–32. http://dx.doi.org/10.1166/jctn.2020.8413.

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The Technological and economical advancement needs enhanced healthcare system. Telemedicine healthcare system provides the provision of medical treatment from a remote distance. The telemedicine research and product development has embarked immense growth during the past decade primarily due to tremendous technological advancement in automation. The aim of IoTbased health care system is to ensure and increase the welfare of patients and the quality of life in rural areas. In this paper we present a low cost Health sensor platform and sugar level without blood for rural health monitoring with a well-structured and secure interface between medical experts and Cellular and WLAN for sharing of important medical parameters. In our proposed and implemented model we developed separate interface for medical experts and medical server, Caregiver, Emergency other then physician and introduced a new algorithm for implementation. Features like live video streaming, automatic prescription generation and push notification to allotment are included. The prototype is used for trial under the supervision of medical experts and the data are compared with standard test done in pathological laboratory. The result is satisfactory with good level of acceptance.
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25

Rafik, Hamza, Abdelaziz Ettaoufik, and Abderrahim Maizate. "Security aspects related Intelligent e-Health Systems." ITM Web of Conferences 52 (2023): 01006. http://dx.doi.org/10.1051/itmconf/20235201006.

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Current health situations and crises require physicians and researchers to convert traditional healthcare services to a new generation of digital healthcare known as e-health smart systems that operate close to the end user with the objective to provide medical assistance using advanced technologies including Internet of Medical Things technology, edge computing, and cloud computing paradigms. However, this system architecture reveals limitations in terms of latency, bandwidth, power consumption as well as security and privacy of collected data. Through this paper, a presentation of different healthcare monitoring system layers has been defined, in addition to listed challenges faced by the deployment of this technology, while providing an introduction of security risks that threaten the user data safety alongside the e-health layers. Moreover, a summarized discussion of Blockchain technology came over to provide a secure decentralized architecture in sharing data across allowed entities.
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Ktari, Jalel, Tarek Frikha, Nader Ben Amor, Leila Louraidh, Hela Elmannai, and Monia Hamdi. "IoMT-Based Platform for E-Health Monitoring Based on the Blockchain." Electronics 11, no. 15 (2022): 2314. http://dx.doi.org/10.3390/electronics11152314.

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With the evolution of information technology, the use of internet of things has increased. It affects several areas such as medical field, smart cities, and information systems. In this work, we will use this technological development in the context of health, particularly e-health. We present a platform based on IoMT to allow the monitoring of patient’s health. To meet the constraint of medical secrecy and confidentiality of information, we will use the Blockchain as a secure system. Our system will use the data collected by several smart sensors such as blood pressure, SPO2 concentration, and EEG signals. These encrypted data will be collected by an embedded Raspberry PI 4 platform (working as a smart data relay) before being processed (on a backend server) and then saved in an embedded Blockchain node. The preliminary results show the effectiveness of the proposed platform as a candidate of a low-cost example of secured Electronic Health Record (EHR).
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Guy Lysmos, Mezui Eya’a, and Dr Mostafa Hanoune. "Hybrid Data Compression System In Smart E-Health Gateway For Medical Monitoring Applications." International Journal of Computer Science and Engineering 7, no. 01 (2020): 1–6. http://dx.doi.org/10.14445/23488387/ijcse-v7i1p101.

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28

Samsudin, S. I., S. I. M. Salim, M. H. Shamsudin, M. F. S. Bahari, and A. A/P Tong. "Enhancing E-Waste Management with IoT-Based Monitoring Solutions." International Journal of Research and Innovation in Social Science VIII, no. XII (2025): 3465–71. https://doi.org/10.47772/ijriss.2024.8120290.

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The adoption of smart electronic waste (e-waste) monitoring systems is vital to address an environmental, health, and economic challenges. E-waste is produced when electronic products or devices become unwanted or broken or end their useful life. If not properly managed or monitored, it can release heavy metals and chemicals like lead, mercury and cadmium into the environment hence harming the ecosystem and human health. Recognising the importance of raising awareness about the e-waste management, an IoT-based recycle e-waste monitoring system is proposed in this study. The system monitors the e-waste level and temperature measured by HC- SR04 ultrasonic sensor and LM 35 temperature sensor, respectively and updates to the system user. A NodeMCU acts as the system’s microcontroller, while Blynk is the IoT web platform. The system effectively monitored three e-waste levels and temperature, with a warning indicator triggered when distance or temperature thresholds were exceeded. This IoT monitoring system enables real-time data collection, enhancing the efficiency, accuracy and effectiveness of e-waste management. The system was demonstrated for small spaces (hostel) and extended to a broader area to support environmental sustainability and Green Campus initiatives. Small efforts in managing e-waste create a healthier environment and a better quality of life.
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Hajar, El Omari, Abdelkader Chahlaoui, Ouarrak Khadija, and Adel Kharroubi. "Public health monitoring using Geographic Information Systems: case viral hepatitis E." E3S Web of Conferences 319 (2021): 01083. http://dx.doi.org/10.1051/e3sconf/202131901083.

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Among the major parasitic diseases having major health and socio-economic impacts in the world and in Morocco, are viral hepatitis. These are acute inflammations of the liver caused by a virus. The 3 most frequently encountered viruses are viruses A, B, C. The objective of this study is to map health events, in our case the incidence of viral hepatitis E in the different prefectures of the region of Meknes-Fez by creating a database containing geographic and health parameters in geographic information system (GIS). This database was then used to create the risk map which identifies the high-risk prefectures. This study shows that the average incidence of viral hepatitis H is higher in the prefecture of Meknes during all the years of the study, with a high risk compared to other prefectures and provinces which have an average risk. Indeed, the mapping of health events is a descriptive tool implemented to evaluate the spatial disparities of incidence, which allowed us to perform a spatio-temporal analysis of the epidemic. Spatial technologies, such as geographic information systems (GIS), offer a new option for disease prevention, predicting risk locations based on factors favoring the emergence or re-emergence of the epidemic.
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Lee, Duck Hee, Ahmed Fazle Rabbi, Noah Root, et al. "A Heart Monitoring System for a Mobile Device." International Journal of Handheld Computing Research 3, no. 4 (2012): 22–39. http://dx.doi.org/10.4018/jhcr.2012100102.

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There have been major advances in research and development of devices for the diagnosis of patients in the medical field. A light and portable wireless system to monitor human physiological signals has been always a medical personnel’s dream. An e-health monitoring system is a widely used noninvasive diagnosis tool for an ambulatory patient who may be at risk from latent life threatening cardiac abnormalities. The authors proposed a high performance and intelligent wireless measuring e-health monitoring system for a mobile device that is characterized by the small sized and low power consumption. The hardware system consists of an one-chip microcontroller (Atmega 128L), a wireless module, and electrocardigram (ECG) signal preprocessing including filtering, power noise canceling, and level shifting. The software utilizes a recursive filter and preprocessing algorithm to detect ECG signal parameters, i.e., QRS-complex, Q-R-T points, HR, and QT-interval. To easily interface with a mobile device, an analyzer program operates on a Windows mobile OS. This paper described the system that was developed and successfully tested for a wireless transmission of ECG signals to a mobile device.
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Walter Ochan, Awatta, Anaclet Mutiba Namanya, and Jude Tibemanya Rwemisisi. "MONITORING AND EVALUATION SYSTEM AND HEALTH SERVICE DELIVERY IN PUBLIC HEALTH INSTITUTIONS IN JUBA, SOUTH SUDAN." International Journal of Advanced Research 13, no. 03 (2025): 724–50. https://doi.org/10.21474/ijar01/20618.

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Introduction: The recent policy changes across the world are important steps towards public sector system strengthening including health. Several countries are now embracing M&amp;E to improve services, although it has received less attention in developing nations. The study aimed to analyze the effect of M&amp;E system on health service delivery in public health institutions in Juba, South Sudan, with the objectives to examine the influence of organizational structure, M&amp;E human capacity and data use on health service delivery. Methodology: Descriptive cross-sectional surveys with both quantitative and qualitative approaches were applied. A total of 315 participants were involved in the study. These included 124 patients selected using systematic random sampling as they exited the facility after discharge and 191 healthcare workers using simple random sampling. The key informants were purposely selected from the 315. Data was analyzed using descriptive statistics, spearman correlation and multinomial logistic regression. Results: Emergency health services were available in facilities and the available health workers responded faster when needed. However, absence of some critical health care workers, supplies stockout, longer waiting time and dysfunctional equipment led to inaccessibility of services and compromised the quality. The organizational structure improves health service delivery 0.158 times less than that of the data use (p-value 0.019, OR= 0.854) and has a weak and negative association with health service delivery (Spearman r=-0.042, p-value = 0.003). M&amp;E human capacity improves health service delivery 0.997 times less than that of the data use (p-value = 0.010, OR= 0.369) with strong and positive association with health service delivery (r =0.802, p-value 0.000). The data use had a composite mean score of 4.702 and Standard deviation. of 1.2554, a significant influence on health services and r =-0.770, p-value =0.007). Conclusions. The organizational structure has a weak relationship with health service delivery but less than that of data use. M&amp;E human capacity has a strong positive relationship with health service delivery. Data use has a strong negative correlation with health service delivery. Recommendations. The organizational structure with a functional M&amp;E unit should be set with full financial support for M &amp; E unit. M&amp;E should be integrated in the overall health system and appropriate M&amp;E professionals employed. Advocate for data use to ensure demand creation for decision-making and accountability in health sector.
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Mena, Luis J., Vanessa G. Felix, Rodolfo Ostos, et al. "Mobile Personal Health System for Ambulatory Blood Pressure Monitoring." Computational and Mathematical Methods in Medicine 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/598196.

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The ARVmobile v1.0 is a multiplatform mobile personal health monitor (PHM) application for ambulatory blood pressure (ABP) monitoring that has the potential to aid in the acquisition and analysis of detailed profile of ABP and heart rate (HR), improve the early detection and intervention of hypertension, and detect potential abnormal BP and HR levels for timely medical feedback. The PHM system consisted of ABP sensor to detect BP and HR signals and smartphone as receiver to collect the transmitted digital data and process them to provide immediate personalized information to the user. Android and Blackberry platforms were developed to detect and alert of potential abnormal values, offer friendly graphical user interface for elderly people, and provide feedback to professional healthcare providers via e-mail. ABP data were obtained from twenty-one healthy individuals (&gt;51 years) to test the utility of the PHM application. The ARVmobile v1.0 was able to reliably receive and process the ABP readings from the volunteers. The preliminary results demonstrate that the ARVmobile 1.0 application could be used to perform a detailed profile of ABP and HR in an ordinary daily life environment, bedsides of estimating potential diagnostic thresholds of abnormal BP variability measured as average real variability.
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Bashir, Adil, and Ajaz Hussain Mir. "Secure Framework for Internet of Things Based e-Health System." International Journal of E-Health and Medical Communications 10, no. 4 (2019): 16–29. http://dx.doi.org/10.4018/ijehmc.2019100102.

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Internet of Things (IoT) is the emerging technology finding applications in a wide range of fields that include smart homes, intelligent transportation, e-health, supply chain management. Among IoT applications, e-health is one of the most promising application in which smart devices capable of monitoring physiological parameters of patients are implanted in or around their bodies which automatically sense and transmit collected data to medical consultants. However, security issues for electronic patient records (EPR) in-transit hinder the usage of IoT in e-health systems. Among these issues, EPR confidentiality and entity authentication are major concerns. In this article, confidentiality of EPR and its secure transmission over network is focused mainly. A security framework is proposed where-in smart devices encrypt sensed physiological data with Light-Weight Encryption Algorithm and Advanced Encryption Standard cryptographic algorithms. The security framework and the designed protocol provides better security and are energy efficient as presented in the evaluation section.
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Sivarajan, Varshni, Pang Wai Leong, Chan Kah Yoong, Lee It Ee, Chung Gwo Chin, and Wong Sew Kin. "Internet of Things in E-Healthcare System." Journal of Engineering Technology and Applied Physics 4, no. 1 (2022): 1–6. http://dx.doi.org/10.33093/jetap.2022.4.1.1.

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Health awareness is important with increasingly complex challenges towards maintaining good health, especially during the COVID-19 pandemic. Regular health monitoring is a must for everyone during the pandemic. This project proposed an IoT based E-Healthcare system to monitor the body temperature, blood pressure and heartbeat rate. The temperature sensor was connected to a Raspberry Pi microcontroller and the readings were stored in the SQLite database management system. The blood pressure and heartbeat rate readings were retrieved from the wrist blood pressure sensor and the readings were entered into the database. The user can access the health data record through a smartphone.
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Saminathan, Sasippriya, and K. Geetha. "Real-Time Health Care Monitoring System using IoT." International Journal of Engineering & Technology 7, no. 2.24 (2018): 484. http://dx.doi.org/10.14419/ijet.v7i2.24.12141.

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Incorporation of Information and Communication Technology (ICT) in healthcare industry explored the possibilities to optimize the supply of all the available medical resources and provide reliable, efficient healthcare services to the aged people and patients with physical disabilities and chronic illness. In consumer electronics and growing costs of healthcare a vision of connected e-health has evolved which constitute Personal Health Devices (PHD). Present day mobile devices are capable enough to gather data from various sensors and often play a role in physical fitness gateway and then data are collected in PHDs. The network overhead and suitability of the proposed solution for the different environment is presented which includes the integration of different wireless interfaces with cloud services. The work focuses on adapting the MQTT (Message Queue Telemetry Transport) communication model. This protocol is preferred over CoAP which is one-one protocol because it is one of the lightweight protocols used in TCP/IP and it has the feature of many to many communication models. The evaluation of the work is on a PHD prototype device and feasibility of the solution is discussed. The proposed work is to design and develop a Real-time healthcare monitoring system using IoT which is featured with Random Forest algorithm for heart disease prediction by gathering patient’s data from various PHD sensors and timely alert the caretaker as well as a doctor by sending messages through MQTT. It monitors the patient’s physiological parameters remotely and diagnoses the heart diseases as early as possible.The main motto is to reduce the cost of healthcare and give people the awareness about health and fitness.
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Belova, Gabriela, and Stanislav Pavlov. "E-Health: Legal and Security Challenges." International conference KNOWLEDGE-BASED ORGANIZATION 25, no. 2 (2019): 109–13. http://dx.doi.org/10.2478/kbo-2019-0065.

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Abstract In accordance with the National Security Strategy of the Republic of Bulgaria, updated in 2018, the health of Bulgarian citizens is defined as a vital national interest. The analysis of the data on basic health-demographic indicators shows that our country is currently facing significant national security risks associated with a high level of total and premature mortality, high maternal and infant mortality, high level of disability and low life expectancy, as well as low indicators during the years of good health. The authors consider that improving the health of the nation is inextricably linked to the readiness of the national health system to respond and to provide adequate and continuous medical assistance of good quality. One of the major challenges for the contemporary globalized world is the rapid entering of information and communication technologies in healthcare. The article attempts to outline some of the legal and ethical issues that could arise when information and communication technologies are introduced into the healthcare system (e.g. the use of various applications for mobile devices, remote therapy and disease monitoring, etc.) from a point of view human rights doctrine and the protection of personal data.
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Coccia, Armando, Federica Amitrano, Leandro Donisi, et al. "Design and validation of an e-textile-based wearable system for remote health monitoring." ACTA IMEKO 10, no. 2 (2021): 220. http://dx.doi.org/10.21014/acta_imeko.v10i2.912.

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&lt;p class="Abstract"&gt;The paper presents a new e-textile-based system, named SWEET Shirt, for the remote monitoring of biomedical signals. The system includes a textile sensing shirt, an electronic unit for data transmission, a custom-made Android application for real-time signal visualisation and a software desktop for advanced digital signal processing. The device allows for the acquisition of electrocardiographic, bicep electromyographic and trunk acceleration signals. The sensors, electrodes, and bus structures are all integrated within the textile garment, without any discomfort for users. A wide-ranging set of algorithms for signal processing were also developed for use within the system, allowing clinicians to rapidly obtain a complete and schematic overview of a patient’s clinical status. The aim of this work was to present the design and development of the device and to provide a validation analysis of the electrocardiographic measurement and digital processing. The results demonstrate that the information contained in the signals recorded by the novel system is comparable to that obtained via a standard medical device commonly used in clinical environments. Similarly encouraging results were obtained in the comparison of the variables derived from the signal processing.&lt;/p&gt;
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Mir, Ajaz Hussain, and Riaz Ahmed Khan. "IP mobility adoption in e-health services: a solution to modern healthcare monitoring system." International Journal of Healthcare Technology and Management 17, no. 4 (2019): 278. http://dx.doi.org/10.1504/ijhtm.2019.10026711.

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Khan, Riaz Ahmed, and Ajaz Hussain Mir. "IP mobility adoption in e-health services: a solution to modern healthcare monitoring system." International Journal of Healthcare Technology and Management 17, no. 4 (2019): 278. http://dx.doi.org/10.1504/ijhtm.2019.104944.

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40

R Mulla, Sahil, Suhail S Sayyed, Umesh T Sutar, Rameshwar L Bandagi, Amit R. Annam, and Mrs Manjare S. nehal. V. "E BIKE BATTERY HEALTH PARAMETER CHECKER WITH REAL TIME DATA ON WEB." International Journal of Engineering Applied Sciences and Technology 9, no. 08 (2024): 57–60. https://doi.org/10.33564/ijeast.2024.v09i08.011.

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With the increasing adoption of electric bicycles (e-bikes), ensuring battery health and performance is critical for safety, efficiency, and longevity. This paper explores the development of realtime battery health monitoring systems integrated with web-based platforms. Recent advancements leverage IoT-enabled sensors, cloud computing, and data analytics to provide continuous monitoring and predictive maintenance. Key parameters such as voltage, current, temperature, state of charge (SoC), and state of health (SoH) are tracked in real-time and visualized on user-accessible web dashboards. Studies highlight innovative approaches like Smart E-Bike Monitoring Systems (SEMS), acoustic-based charge detection (SingMonitor), and cloud-based battery management architectures. These technologies enable proactive maintenance, enhance user experience, and contribute to sustainable e-mobility solutions. This paper reviews existing research, discusses challenges such as data security and system scalability, and proposes future directions for intelligent e-bike battery health monitoring.
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41

Adriansyah, Andi, and Ahmad Ghozali Amrullah. "Design of Health Monitoring Framework Model using oneM2M Standard." International Journal of Electrical, Energy and Power System Engineering 4, no. 1 (2021): 107–12. http://dx.doi.org/10.31258/ijeepse.4.1.107-112.

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The causes of traffic accidents are affected by human factors. Driver’s illness, such as exhaustion, drowsiness, and other chronic diseases, are the critical reasons for this. The creation of the Internet of Things (IoT) technology has tried to resolve these issues. The emphasis is on tracking and regulating driving safety and conditions. Unfortunately, there is no uniform IoT standard for this device. This study aims to provide a model for monitoring and handling the situation of drivers by combining the E-Health Tracking (EHM) and the Automotive Health and Safety (AHS) frameworks. The results of the system design are referred to as In-vehicle E-Health Monitoring (IV-EHM). The IV-EHM framework model analysis based on the oneM2M standard has been carried out. Based on the study, it can be said that the system has the specified requirements.
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Swaroop, B. Satya, Keerthipati Sowmya, Kurmapu Nitish Rao, Mohammad Zeeshanuddin Shah, and Kola Nithin. "Advanced Cloud-Integrated Multi-Layered Security for E-Health Records Protection." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1671–79. https://doi.org/10.22214/ijraset.2025.67630.

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Abstract: As cloud technology becomes more prevalent in healthcare, protecting electronic health records (EHRs) from unauthorized access, data breaches, and cyber threats has emerged as a crucial issue. This study introduces an Advanced CloudIntegrated Multi-Layer Security Framework that employs multi-factor authentication (MFA), sophisticated encryption techniques, role-based access control (RBAC), and continuous security monitoring to guarantee the confidentiality, integrity, and accessibility of patient information. The proposed system utilizes AES-256 encryption and SHA-256 hashing to protect data, while a Security Information and Event Management (SIEM)-based monitoring system improves threat identification and response. Experimental findings show that the framework delivers robust authentication accuracy, low encryption overhead, and scalable cloud deployment, making it appropriate for large-scale healthcare applications. By incorporating strong security measures, this framework ensures adherence to regulatory standards like HIPAA and GDPR while maintaining efficiency and usability in cloud-based healthcare settings. Future research will explore AI-powered anomaly detection and blockchain integration to further enhance security.
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Horvat, MD, MHA, Christopher M., Brian Martin, DMD, Liwen Wu, MS, et al. "Opioid e-prescribing trends at discharge in a large pediatric health system." Journal of Opioid Management 15, no. 2 (2019): 119–27. http://dx.doi.org/10.5055/jom.2019.0493.

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Objective: Legitimate opioid prescriptions have been identified as a risk factor for opioid misuse in pediatric patients. In 2014, Pennsylvania legislation expanded a prescription drug monitoring program (PDMP) to curb inappropriate controlled substance prescriptions. The authors’ objective was to describe recent opioid prescribing trends at a large, pediatric health system situated in a region with one of the highest opioid-related death rates in the United States and examine the impact of the PDMP on prescribing trends.Design: Quasi-experimental assessment of trends of opioid e-prescriptions, from 2012 to 2017. Multivariable Poisson segmented regression examined the effect of the PDMP. Period prevalence comparison of opioid e-prescriptions across the care continuum in 2016.Results: There were 62,661 opioid e-prescriptions identified during the study period. Combination opioid/non-opioid prescriptions decreased, while oxycodone prescriptions increased. Seasonal variation was evident. Of 110,884 inpatient encounters, multivariable regression demonstrated lower odds of an opioid being prescribed at discharge per month of the study period (p 0.001) and a significant interaction between passage of the PDMP legislation and time (p = 0.03). Black patients had lower odds of receiving an opioid at discharge compared to white patients. Inpatients had significantly greater odds of receiving an opioid compared to emergency department (Prevalence Odds Ratio 7.1 [95% confidence interval: 6.9-7.3]; p 0.001) and outpatient (398.9 [355.5-447.5]; p 0.001) encounters.Conclusion: In a large pediatric health system, oxycodone has emerged as the most commonly prescribed opioid in recent years. Early evidence indicates that a state-run drug monitoring program is associated with reduced opioid prescribing. Additional study is necessary to examine the relationship between opioid prescriptions and race.
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44

R, Gohilai, Gowtham R., Mohanraj P., and R. Arun Prasath. "Real Time Electric Vehicle Monitoring and Tracking System Using LORA Technology." International Journal of Innovative Research in Advanced Engineering 11, no. 04 (2024): 283–87. http://dx.doi.org/10.26562/ijirae.2024.v1104.20.

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Electric vehicles rely on batteries, which are a significant component of their overall performance and efficiency. Monitoring battery health in real-time helps ensure optimal performance, extends battery lifespan, and prevents unexpected failures, thereby improving the overall reliability and longevity of e-vehicles. Real-time monitoring allows fleet managers and vehicle owners to track battery state of charge (SoC), state of health (SOH), depth of discharge (DOD) and predict remaining range accurately. This helps drivers plan their routes better and minimizes the risk of running out of battery power during trips. Real-time tracking enhances the safety and security of e-vehicles. In case of theft or unauthorized use, the system can provide location information to aid in recovery. Additionally, in case of accidents or emergencies, the system can alert authorities and dispatch assistance promptly.
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45

V., Deepa, and K. Rajeswari Dr. "Analysis on E-Healthcare Monitoring System with Iot and Big Patient Data." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 5 (2021): 97–102. https://doi.org/10.35940/ijitee.E8685.0310521.

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Internet of Things (IoT) technology helped the development of healthcare from face-to-face consulting to the telemedicine. Smart healthcare system in IoT environment monitored the patient basic health signs such as heart rate, body temperature, and hospital room condition in real-time applications. The IoT and big data is an important challenge in many fields including smart healthcare systems due to its significance. Big data is employed to analyse the huge volume of data. Big data are significantly used in healthcare technique to determine the normal and abnormal patient condition. The doctors are easily analysed the patient condition in a short time. This system is very easy to design and use. It is employed to enhance the present healthcare system which preserves the lot of lives from death. Healthcare monitoring system in hospitals has experienced large development and portable healthcare monitoring systems with new technologies. Connected healthcare is an essential solution for hospital to record and analyse the patient data and to save money. The clustering and classification methods are used in existing methods. The clustering method is employed to group the similar data. The classification method is utilized to classify the patient data. A lot of healthcare technique was introduced by many researchers ranging from diagnosis to treatment and prevention on efficient e-health monitoring system. But, the accuracy level was not improved and time consumption was not reduced by existing techniques. In order to address these problems, different methods and techniques were reviewed for performing the e-healthcare monitoring system with big data. The machine learning techniques are used for efficient diseased patient health monitoring through the effective performance of feature selection, clustering and patient classification with increase the accuracy and minimum time consumption. The results are is performed using on different factors such as clustering accuracy, clustering time, classification accuracy, classification time, and error rate with respect to number of patient data.&nbsp;
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SIMI, S., D. S. DIVYA, and BOSE HIRON. "DESIGN AND DEVELOPMENT OF INTERNET ENABLED HEART RATE MONITORING SYSTEM." IJIERT - International Journal of Innovations in Engineering Research and Technology 5, no. 5 (2018): 96–102. https://doi.org/10.5281/zenodo.1446376.

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<strong>Over th e last several years,there are a number of convincing development steps in the area of Internet - of - Things (IoT) which enables a way for the development of many novel and fascinating applications. Today,real time monitoring of patient �s health is very difficu lt. So to bring the concept of real time monitoring of patient�s health,this project proposes a ideal IoT e nabled architecture for heart rate monitoring system. Staying ideally to the IoT vision,it relies on diff erent,yet smart,technologies,specifically WSN (Wireless Sensor Networks),smart mobile,which are interoperating with each other through a wide var iety of IoT protocols. The designed system will be collecting the patient heart rate in real time and monitoring any drastic change in the reading. The system also monitors the surrounding environment conditions of the patient too. The parameters obtained are then published to the internet. Later a mobile based application (android) will be developed so that these sensory data&#39;s can be accessed from anywhere using this app. For supporting the IoT functionalities an internet enabled board called Raspberry Pi is used.</strong> <strong>https://www.ijiert.org/paper-details?paper_id=141291</strong>
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Delmastro, Franca, Cristina Dolciotti, Davide La Rosa, et al. "Experimenting Mobile and e-Health Services with Frail MCI Older People." Information 10, no. 8 (2019): 253. http://dx.doi.org/10.3390/info10080253.

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The ageing population has become an increasing phenomenon world-wide, leading to a growing need for specialised help. Improving the quality of life of older people can lower the risk of depression and social isolation, but it requires a multi-dimensional approach through continuous monitoring and training of the main health domains (e.g., cognitive, motor, nutritional and behavioural). To this end, the use of mobile and e-health services tailored to the user’s needs can help stabilise their health conditions, in terms of physical, mental, and social capabilities. In this context, the INTESA project proposes a set of personalised monitoring and rehabilitation services for older people, based on mobile and wearable technologies ready to be used either at home or in residential long-term care facilities. We evaluated the proposed solution by deploying a suite of services in a nursing home and defining customised protocols to involve both guests (primary users) and nursing care personnel (secondary users). In this paper, we present the extended results obtained after the one-year period of experimentation in terms of technical reliability of the system, Quality of Experience, and user acceptance for both the user categories.
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Rafik, Hamza, Abderrahim Maizate, and Abdelaziz Ettaoufik. "Data Security Mechanisms, Approaches, and Challenges for e-Health Smart Systems." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 02 (2023): 42–66. http://dx.doi.org/10.3991/ijoe.v19i02.37069.

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In the new era, the trend of using wearable devices and smart accessories gained considerable popularity and become a necessity utility for human life due to their major role to keep monitoring health conditions and providing healthcare services. The combination of IoT networks with edge computing paradigms develops an intelligent e-health system that aims to monitor different real-time scenarios. The deployment of an e-health system exposes several challenges regarding the security and privacy aspects, particularly in the case of dealing with an enormous quantity of medical data and the risk presented by exchanging operations with external entities. In this paper a comprehensive presentation covered the basic topics of e-health system layers thus the advantages and limitations in terms of existing challenges has been mentioned, subsequently, adapted to the exposed cyber risk through the traditional systems in exchanging medical data, a discussion of the blockchain technology come over for new application opportunities, where this approach efficiently ensure the security of data transactions over the network, in addition, an overview outlined the main research works related to this technology. Therefore, a presentation study of diverse works reveals different security framework solutions related to e-health system’s layers, furthermore, uncovering the benefits of integrating intelligent technologies such as Machine Learning (supervised, and unsupervised types), Deep Learning, and Reinforcement Learning as well as introducing a comparison analysis of multiple AI algorithm models based on their efficiency for future deployment related security purposes to provide a smart healthcare monitoring system that meets patient needs. The end of this review highlighted further research directions and the actual open challenges regarding the e-Health system’s limitations.
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Marchang, Jims, Jade McDonald, Solan Keishing, et al. "Secure-by-Design Real-Time Internet of Medical Things Architecture: e-Health Population Monitoring (RTPM)." Telecom 5, no. 3 (2024): 609–31. http://dx.doi.org/10.3390/telecom5030031.

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The healthcare sector has undergone a profound transformation, owing to the influential role played by Internet of Medical Things (IoMT) technology. However, there are substantial concerns over these devices’ security and privacy-preserving mechanisms. The current literature on IoMT tends to focus on specific security features, rather than wholistic security concerning Confidentiality, Integrity, and Availability (CIA Triad), and the solutions are generally simulated and not tested in a real-world network. The proposed innovative solution is known as Secure-by-Design Real-Time IoMT Architecture for e-Health Population Monitoring (RTPM) and it can manage keys at both ends (IoMT device and IoMT server) to maintain high privacy standards and trust during the monitoring process and enable the IoMT devices to run safely and independently even if the server is compromised. However, the session keys are controlled by the trusted IoMT server to lighten the IoMT devices’ overheads, and the session keys are securely exchanged between the client system and the monitoring server. The proposed RTPM focuses on addressing the major security requirements for an IoMT system, i.e., the CIA Triad, and conducts device authentication, protects from Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks, and prevents non-repudiation attacks in real time. A self-healing solution during the network failure of live e-health monitoring is also incorporated in RTPM. The robustness and stress of the system are tested with different data types and by capturing live network traffic. The system’s performance is analysed using different security algorithms with different key sizes of RSA (1024 to 8192 bits), AES (128 to 256 bits), and SHA (256 bits) to support a resource-constraint-powered system when integrating with resource-demanding secure parameters and features. In the future, other security features like intrusion detection and prevention and the user’s experience and trust level of such a system will be tested.
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Vincent, Kanyamuna, Holvoet Nathalie, Siakalima Silangwa, et al. "Comparative Analysis of Monitoring and Evaluation Systems for Zambia's Health and Agriculture Sectors." International Journal of Arts and Social Science 4, no. 6 (2023): 28–64. https://doi.org/10.5281/zenodo.7745455.

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Monitoring and Evaluation (M&amp;E) has increasingly become the buzz word in the implementation of poverty reduction strategies. Because of the anticipated benefits which are associated to it, M&amp;E has fundamentally become a global phenomenon whereby national and international stakeholders in the development arena have continuously sought for enhanced public governance based on results. The aim of the paper was to investigative the sector monitoring and evaluation systems in the context of poverty reduction strategies focusing on a comparative case study of Zambia&lsquo;s Health and Agriculture sectors. A diagnostic assessment and analysis was employed to undertake the investigative study using existing literature. Consequently, results have shown that out of the six assessment criteria, the agriculture sector M&amp;E performs better than the health M&amp;E on four components&mdash;policy, organization, capacity and the use of M&amp;E information. The only criterion where the health sector M&amp;E is more developed than that of agriculture is ‗methodology&lsquo; while the two sectors scored same for the ‗participation of actors outside of government&lsquo; criterion. Nevertheless, there is need for accelerated development and strengthening of sector M&amp;E systems for health and agriculture. Although the agriculture sector compares well against the health sector M&amp;E, there are more gaps that require attention if both sectors were to enjoy the benefits that go with a successfully implemented mechanism. For both sectors, there is need for instance, to step up efforts of ensuring that the roles of the Zambia Statistics Agency, parliament, Civil Society and the Ministry of Finance and National Planning are well defined and enforced. The weaknesses that exist regarding the rationalization and coordination of donor M&amp;E and sector M&amp;E undermine capacity to have strong supply and demand sides
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