Relevant bibliographies by topics / Medical-Things (IoMT)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Medical-Things (IoMT)'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Medical-Things (IoMT).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Medical-Things (IoMT)"

1

Abdulmohsin Hammood, Dalal, Hasliza A. Rahim, Ahmed Alkhayyat, and R. Badlishah Ahmad. "Body-to-Body Cooperation in Internet of Medical Things: Toward Energy Efficiency Improvement." Future Internet 11, no. 11 (2019): 239. http://dx.doi.org/10.3390/fi11110239.

Full text
Abstract:
Internet of Medical Things (IoMT) technologies provide suitability among physicians and patients because they are useful in numerous medical fields. Wireless body sensor networks (WBSNs) are one of the most crucial technologies from within the IoMT evolution of the healthcare system, whereby each patient is monitored by low-powered and lightweight sensors. When the WBSNs are integrated into IoMT networks, they are quite likely to overlap each other; thus, cooperation between WBSN sensors is possible. In this paper, we consider communication between WBSNs and beyond their communication range. Therefore, we propose inter-WBAN cooperation for the IoMT system, which is also known as inter-WBAN cooperation in an IoMT environment (IWC-IoMT). In this paper, first, a proposed architecture for the IoT health-based system is investigated. Then, a mathematical model of the outage probability for the IWC-IoMT is derived. Finally, the energy efficiency of the IWC-IoT is analysed and inspected. The simulation and numerical results show that the IWC-IoMT (cooperative IoMT) system provides superior performance compared to the non-cooperative system.
APA, Harvard, Vancouver, ISO, and other styles
2

Huang, Xucheng, and Shah Nazir. "Evaluating Security of Internet of Medical Things Using the Analytic Network Process Method." Security and Communication Networks 2020 (September 1, 2020): 1–14. http://dx.doi.org/10.1155/2020/8829595.

Full text
Abstract:
Internet of Medical Things (IoMT) plays an important role in healthcare. Different devices such as smart sensors, wearable devices, handheld, and many other devices are connected in a network in the form of Internet of Things (IoT) for the smooth running of communication in healthcare. Security of these devices in healthcare is important due to its nature of functionality and efficiency. An efficient and robust security system is in dire need to cope with the attacks, threats, and vulnerability. The security evaluation of IoMT is an issue since couple of years. Therefore, the aim of the proposed study is to evaluate the security of IoMT by using the analytic network (ANP) process. The proposed approach is applied using ISO/IEC 27002 (ISO 27002) standard and some other important features from the literature. The results of the proposed research demonstrate the effective IoMT components which can further be used as secure IoMT.
APA, Harvard, Vancouver, ISO, and other styles
3

Zhao, Zhuo, Chingfang Hsu, Lein Harn, Qing Yang, and Lulu Ke. "Lightweight Privacy-Preserving Data Sharing Scheme for Internet of Medical Things." Wireless Communications and Mobile Computing 2021 (September 12, 2021): 1–13. http://dx.doi.org/10.1155/2021/8402138.

Full text
Abstract:
Internet of Medical Things (IoMT) is a kind of Internet of Things (IoT) that includes patients and medical sensors. Patients can share real-time medical data collected in IoMT with medical professionals. This enables medical professionals to provide patients with efficient medical services. Due to the high efficiency of cloud computing, patients prefer to share gathering medical information using cloud servers. However, sharing medical data on the cloud server will cause security issues, because these data involve the privacy of patients. Although recently many researchers have designed data sharing schemes in medical domain for security purpose, most of them cannot guarantee the anonymity of patients and provide access control for shared health data, and further, they are not lightweight enough for IoMT. Due to these security and efficiency issues, a novel lightweight privacy-preserving data sharing scheme is constructed in this paper for IoMT. This scheme can achieve the anonymity of patients and access control of shared medical data. At the same time, it satisfies all described security features. In addition, this scheme can achieve lightweight computations by using elliptic curve cryptography (ECC), XOR operations, and hash function. Furthermore, performance evaluation demonstrates that the proposed scheme takes less computation cost through comparison with similar solutions. Therefore, it is fairly an attractive solution for efficient and secure data sharing in IoMT.
APA, Harvard, Vancouver, ISO, and other styles
4

Cano, Maria-Dolores, and Antonio Cañavate-Sanchez. "Preserving Data Privacy in the Internet of Medical Things Using Dual Signature ECDSA." Security and Communication Networks 2020 (June 10, 2020): 1–9. http://dx.doi.org/10.1155/2020/4960964.

Full text
Abstract:
The disclosure of personal and private information is one of the main challenges of the Internet of Medical Things (IoMT). Most IoMT-based services, applications, and platforms follow a common architecture where wearables or other medical devices capture data that are forwarded to the cloud. In this scenario, edge computing brings new opportunities to enhance the operation of IoMT. However, despite the benefits, the inherent characteristics of edge computing require countermeasures to address the security and privacy issues that IoMT gives rise to. The restrictions of IoT devices in terms of battery, memory, hardware resources, or computing capabilities have led to a common agreement for the use of elliptic curve cryptography (ECC) with hardware or software implementations. As an example, the elliptic curve digital signature algorithm (ECDSA) is widely used by IoT devices to compute digital signatures. On the other hand, it is well known that dual signature has been an effective method to provide consumer privacy in classic e-commerce services. This article joins both approaches. It presents a novel solution to enhanced security and the preservation of data privacy in communications between IoMT devices and the cloud via edge computing devices. While data source anonymity is achieved from the cloud perspective, integrity and origin authentication of the collected data is also provided. In addition, computational requirements and complexity are kept to a minimum.
APA, Harvard, Vancouver, ISO, and other styles
5

Gautam, Kalpna, Vikram Puri, Jolanda G Tromp, Chung Van Le, and Nhu Gia Nguyen. "Internet of Things and Healthcare Technologies: A Valuable Synergy from Design to Implementation." International Journal of Machine Learning and Networked Collaborative Engineering 2, no. 3 (2018): 128–42. http://dx.doi.org/10.30991/ijmlnce.2018v02i03.005.

Full text
Abstract:
Internet of Things (IoT) promises to be a reliable technology for the future. Healthcare is one of the fields which are rapidly developing new solutions. The synergy between IoT and healthcare promises to be very beneficial for human healthcare and evolved into a new field of research and development: the Internet of Medical Things (IoMT). This paper presents a review on various enabling IoMT technologies based on the latest publications and technology available in the marketplace. This article also analyzes the various software platforms available in the field of IoMT and the current challenges faced by the industry
APA, Harvard, Vancouver, ISO, and other styles
6

Koutras, Dimitris, George Stergiopoulos, Thomas Dasaklis, Panayiotis Kotzanikolaou, Dimitris Glynos, and Christos Douligeris. "Security in IoMT Communications: A Survey." Sensors 20, no. 17 (2020): 4828. http://dx.doi.org/10.3390/s20174828.

Full text
Abstract:
The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.
APA, Harvard, Vancouver, ISO, and other styles
7

Mohammed, Sabah, Jinan Fiaidhi, and Sami Mohammed. "Internet of Medical Things (IOMT): Trends and Challenge." International Journal of Control and Automation 12, no. 3 (2019): 29–36. http://dx.doi.org/10.33832/ijca.2019.12.3.03.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mehmood, Iram, Sidra Anwar, AneezaDilawar, IsmaZulfiqar, and Raja Manzar Abbas. "Managing Data Diversity on the Internet of Medical Things (IoMT)." International Journal of Information Technology and Computer Science 12, no. 6 (2020): 49–56. http://dx.doi.org/10.5815/ijitcs.2020.06.05.

Full text
Abstract:
In the healthcare industry, the Internet of Medical Services (IOMT) plays a vital role throughout the increasing performance, reliability, and efficiency of an electronic device. Healthcare is also characterized as being complicated due to its highly diverse and large number of shareholders. Data diversity refers to the continuum of various types of elements in the data. The integration of data is difficult where different sources can adopt different identification for the same entity, but there is no explicit connection. Researches are contributing to a digitized Health care system through interconnections available medical resources and health care services. This Research presents the contribution of IoT to people in the field of Healthcare, highlighting the issues in different data integration, analysis of the existing algorithms and models, applications, and future challenges of IoT in terms of healthcare medical services. Big data analytics that incorporates millions of fragmented, organized, and unstructured sources of data will play a key role in how health care will be delivered in the future.
APA, Harvard, Vancouver, ISO, and other styles
9

Kanthavel, R. "Review on Data Securing Techniques for Internet of Medical Things." September 2021 3, no. 3 (2021): 177–91. http://dx.doi.org/10.36548/jscp.2021.3.004.

Full text
Abstract:
In recent days Internet of Things (IOT) has grown up dramatically. It has wide range of applications. One of its applications is Health care system. IOT helps in managing and optimizing of healthcare system. Though it helps in all ways it also brings security problem in account. There is lot of privacy issues aroused due to IOT. In some cases it leads to risk the patient’s life. To overcome this issue we need an architecture named Internet of Medical Things (IOMT). In this paper we have discussed the problems faced by healthcare system and the authentication approaches used by Internet of Medical Things. Machine learning approaches are used to improvise the system performance.
APA, Harvard, Vancouver, ISO, and other styles
10

Elsayeh, Muhammad, Kadry Ali Ezzat, Hany El-Nashar, and Lamia Nabil Omran. "CYBERSECURITY ARCHITECTURE FOR THE INTERNET OF MEDICAL THINGS AND CONNECTED DEVICES USING BLOCKCHAIN." Biomedical Engineering: Applications, Basis and Communications 33, no. 02 (2021): 2150013. http://dx.doi.org/10.4015/s1016237221500137.

Full text
Abstract:
The internet of medical things (IoMT) has a great role in improving the health around the world. IoMT is having a great impact in our life in which the clinical data of the patient is observed and checked and then can be transferred to the third party for using in the future such as the cloud. IoMT is a huge data system with a continuous developing rate, which implies that we should keep a lot of data secure. We propose a combined security architecture that fuses the standard architecture and new blockchain technology. Blockchain is a temper digital ledger which gives peer-to-peer communication and provides communication between non-trust individuals. Using standard in-depth strategy and blockchain, we are able to develop a method to collect vital signs data from IoMT and connected devices and use blockchain to store and retrieve the collected data in a secure and decentralized fashion within a closed system, suitable for healthcare providers such as private clinics, hospitals, and healthcare organizations were sharing data with each other is required. Right now initially examine the innovation behind Blockchain then propose IoMT-based security architecture utilizing Blockchain to guarantee the security of information transmission between associated nodes. Experimental analysis shows that the proposed scheme presents a non-significant overhead; yet it brings major advantages to meet the standard security and privacy requirements in IoMT.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Medical-Things (IoMT)"

1

Sayeed, Md Abu. "Epileptic Seizure Detection and Control in the Internet of Medical Things (IoMT) Framework." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703334/.

Full text
Abstract:
Epilepsy affects up to 1% of the world's population and approximately 2.5 million people in the United States. A considerable portion (30%) of epilepsy patients are refractory to antiepileptic drugs (AEDs), and surgery can not be an effective candidate if the focus of the seizure is on the eloquent cortex. To overcome the problems with existing solutions, a notable portion of biomedical research is focused on developing an implantable or wearable system for automated seizure detection and control. Seizure detection algorithms based on signal rejection algorithms (SRA), deep neural networks (DNN), and neighborhood component analysis (NCA) have been proposed in the IoMT framework. The algorithms proposed in this work have been validated with both scalp and intracranial electroencephalography (EEG, icEEG), and demonstrate high classification accuracy, sensitivity, and specificity. The occurrence of seizure can be controlled by direct drug injection into the epileptogenic zone, which enhances the efficacy of the AEDs. Piezoelectric and electromagnetic micropumps have been explored for the use of a drug delivery unit, as they provide accurate drug flow and reduce power consumption. The reduction in power consumption as a result of minimal circuitry employed by the drug delivery system is making it suitable for practical biomedical applications. The IoMT inclusion enables remote health activity monitoring, remote data sharing, and access, which advances the current healthcare modality for epilepsy considerably.
APA, Harvard, Vancouver, ISO, and other styles
2

Olokodana, Ibrahim Latunde. "Kriging Methods to Exploit Spatial Correlations of EEG Signals for Fast and Accurate Seizure Detection in the IoMT." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707311/.

Full text
Abstract:
Epileptic seizure presents a formidable threat to the life of its sufferers, leaving them unconscious within seconds of its onset. Having a mortality rate that is at least twice that of the general population, it is a true cause for concern which has gained ample attention from various research communities. About 800 million people in the world will have at least one seizure experience in their lifespan. Injuries sustained during a seizure crisis are one of the leading causes of death in epilepsy. These can be prevented by an early detection of seizure accompanied by a timely intervention mechanism. The research presented in this dissertation explores Kriging methods to exploit spatial correlations of electroencephalogram (EEG) Signals from the brain, for fast and accurate seizure detection in the Internet of Medical Things (IoMT) using edge computing paradigms, by modeling the brain as a three-dimensional spatial object, similar to a geographical panorama. This dissertation proposes basic, hierarchical and distributed Kriging models, with a deep neural network (DNN) wrapper in some instances. Experimental results from the models are highly promising for real-time seizure detection, with excellent performance in seizure detection latency and training time, as well as accuracy, sensitivity and specificity which compare well with other notable seizure detection research projects.
APA, Harvard, Vancouver, ISO, and other styles
3

Poggi, Giovanni. "Internet of Medical Things." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

Find full text
Abstract:
In questa tesi, si partirà con un'introduzione generale all'Internet of Things focalizzando l'attenzione sulla struttura generale dell'architettura ed il suo funzionamento di base in una rete con molti altri dispositivi. Seguirà l'analisi del trend di questa tecnologia e la sua evoluzione nel tempo, con particolare attenzione all'architettura ed al suo successo ai giorni nostri. Verrà discussa l'industrializzazione che ha portato alla creazione delle Industrie 4.0, ovvero l'Internet of Things in ambito sensoristica applicato all'industria, alla robotica, ai Big Data che si occupano dell'archiviazione, all'acquisizione e all'analisi dei dati provenienti dai vari dispositivi, ai sistemi ciberfisici, alla connessione di tutti questi oggetti tra loro per la comunicazione e lo scambio delle informazioni ed infine alla realtà aumentata per il supporto nei vari processi industriali. Questi macroargomenti saranno lo spunto per introdurre il concetto di Internet of Medical Things. Con una breve panoramica sugli ospedali al giorno d'oggi, si vuol proporre una nuova concezione di ospedale dove vengono poste al centro dell'attenzione le esigenze del paziente e del personale medico, trattando nello specifico le tecnologie impiegate, i processi chirurgici, clinici e l’erogazione delle prestazioni sanitarie. Il discorso seguirà focalizzando l'attenzione anche su ambienti della medicina come la chirurgia, introducendo un luogo in cui migliaia di dispositivi connessi alla rete comunicano tra di loro. Si vedranno anche tutte le eventuali criticità e le varie sfide che bisognerà risolvere ed intraprendere per arrivare ad un corretto ed efficiente passaggio agli odierni ospedali concepiti per essere ospedali 4.0. Si concluderà con una riflessione su tutte queste tecnologie e la rivoluzione in ambito medico che promette cambiamenti che porteranno al nuovo concetto di Ospedale 4.0 su un’ottica di Internet of Medical Things.
APA, Harvard, Vancouver, ISO, and other styles
4

Chisanga, Fredrick. "Medical application of the Internet of Things (IoT): prototyping a telemonitoring system." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/27940.

Full text
Abstract:
The Internet of Things (IoT) is a technological paradigm that can be perceived as an evolution of the internet. It is a shift from the traditional way of connecting devices to the internet, both in number and diversity of connected devices. This significant and marked growth in the number and diversity of devices connected to the internet has prompted a rethink of approaches to interconnect devices. The growth in the number of connected devices is driven by emerging applications and business models and supported by falling device costs while the growth in the diversity is driven by the reduction in the cost of manufacturing these devices. This has led to an increase in the number of users (not limited to people) of the internet. According to statistics by the ITU, by the end of 2015, about 3.2 billion people were using the Internet. Significantly, 34% of households in developing countries had Internet access, with more than 80% of households in developed countries. This indicates that it is realistic to leverage the IoT in living spaces. Appreciating this potential, many sectors of society are already positioning themselves to reap the benefits of this great promise. Hence the health sector would do well to adopt this technological paradigm to enhance service delivery. One specific area where the health sector can benefit from the adoption of the IoT is in telemonitoring and the associated early response to medical emergencies. Statistics and research show that there are areas in the medical field, that still need improvement to enhance service delivery. The Nursing Times has summed up these areas into four categories. The first one is a need to have a regular observation of patients and their vital signs. Here, health service providers (SPs) need to adopt creative and non-obtrusive methods that will encourage patients' participation in the monitoring of these vital signs. As much as possible, vital signs readings should be taken at convenient locations and times. Therefore, devices that have consistent internet access and are usually a part of daily life for most patients, such as the mobile phones would prove to be a key enabler of regular observation of vital signs. Furthermore, miniaturization of the vital signs monitoring or sensing devices would be a key step towards realizing this scenario. A lot of work is already being done to miniaturize these devices and make them as much a part of daily life as possible, as evidenced by advancements in the field of fitness and wearables. To map this use to the medical field, a system needs to be created that would allow for the aggregation of these disparate measuring and monitoring devices with medical information management systems. The second potential area of improvement is in the early recognition of deterioration of the patients. With regular observation of patients, it is possible to recognize deterioration at its early stage. Taking cognizance of the different needs of the various stakeholders is important to achieve the intended results. The third potential area of improvement is in the communication among stakeholders. This has to do with identifying the relevant data that must be delivered to the stakeholders during the monitoring and management process. Lastly, effective response to medical concerns is the other potential area of improvement. It is noted that patients do not generally get the right response at the right time because the information does not reach the rightly qualified personnel in good time. The regular and real-time capture of vital signs data coupled with added analytics can enable IoT SPs to design solutions that automate the management and transmission of medical data in a timely manner. This work addresses how the medical sector can adopt IoT-based solutions to improve service delivery, while utilizing existing resources such as smartphones, for the transmission and management of vital signs data, availing it to stakeholders and improve communication among them. It develops a telemonitoring system based on IoT design approaches. The developed system captures readings of vital signs from monitoring devices, processes and manages this data to serve the needs of the various stakeholders. Additionally, intelligence was added to enable the system to interpret the data and make decisions that will help medical practitioners and other stakeholders (patients, caregivers, etc.) to more timely, consistently and reliably provide and receive medical services/assistance. Two end user applications were developed. A cloud-based web application developed using PHP, HTML, and JavaScript and an Android mobile application developed using Java programming language in Android studio. An ETSI standards-compliant M2M middleware is used to aggregate the system using M2M applications developed in Python. This is to leverage the benefits of the standards-compliant middleware while offering flexibility in the design of applications. The developed system was evaluated to assess whether it meets the requirements and expectations of the various stakeholders. Finally, the performance of the proposed telemonitoring system was studied by analyzing the delay on the delivery of messages (local notifications, SMS, and email) to various stakeholders to assess the contribution towards reducing the overall time of the cardiac arrest chain of survival. The results obtained showed a marked improvement (over 28 seconds) on previous work. In addition to improved performance in monitoring and management of vital signs, telemonitoring systems have a potential of decongesting health institutions and saving time for all the stakeholders while bridging most of the gaps discussed above. The captured data can also provide the health researchers and physicians with most of the prerequisite data to effectively execute predictive health thereby improving service delivery in the health sector.
APA, Harvard, Vancouver, ISO, and other styles
5

Sundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.

Full text
Abstract:
Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional efficiency of this complex system is evaluated as health. Traditional healthcare is unable to accommodate everyone's need due to the ever-increasing population and medical costs. With advancements in technology and medical research, traditional healthcare applications are shaping into smart healthcare solutions. Smart healthcare helps in continuously monitoring our body parameters, which helps in keeping people health-aware. It provides the ability for remote assistance, which helps in utilizing the available resources to maximum potential. The backbone of smart healthcare solutions is Internet of Things (IoT) which increases the computing capacity of the real-world components by using cloud-based solutions. The basic elements of these IoT based smart healthcare solutions are called "things." Things are simple sensors or actuators, which have the capacity to wirelessly connect with each other and to the internet. The research for this dissertation aims in developing architectures for these things, focusing on IoT-based smart healthcare solutions. The core for this dissertation is to contribute to the research in smart healthcare by identifying applications which can be monitored remotely. For this, application-specific thing architectures were proposed based on monitoring a specific body parameter; monitoring physical health for family and friends; and optimizing the power budget of IoT body sensor network using human body communications. The experimental results show promising scope towards improving the quality of life, through needle-less and cost-effective smart healthcare solutions.
APA, Harvard, Vancouver, ISO, and other styles
6

Dellgren, Emelie. "A case study on how the Apple Watch can benefit medical heart research." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211493.

Full text
Abstract:
The medical health industry is entering a new era and technology will play a great role in this area. Equipment in hospitals is in many cases strictly dependent on technology that works. However, technology in the medical health industry will maybe become a bigger part of our private lifestyle. This lifestyle includes digital health apps, wearables and devices that track your daily physical routines with “Internet of things”. These ways of keeping track of your health can be used for private purposes, but also to complement medical studies with clinical results. This thesis will focus on how wearables can complement a medical study where patients with severe heart failure will use the smartwatch Apple Watch. This smartwatch will collect data on patients daily physical activity pattern and thereafter analyze this data in order to find activity patterns. This thesis intends to answer the questions How can wearables such as the Apple Watch benefit medical heart research? and what makes the Apple Watch a suitable wearable for the medical study at Lund’s University Hospital? Interviews were therefore held with medical heart researchers and addressed the purpose of the medical study and their choice of wearable. Thereafter, a examination of the Apple Watch was conducted and it together with the interview indicated that the Apple Watch in fact is a suitable wearable. Finally, an exportation process where data from the Apple Watch was done where the exported data then was decoded in Microsoft Excel. The purpose of this was to examine statements that were revealed in the interview. That being said, the thesis came to the conclusion that the Apple Watch contributes a lot when mixing complementing data from wearables with clinical records. Another conclusion was that this tracking device was suitable for the medical study. In what extension the Apple Watch is suitable, is yet unclear since the medical study is in need of further patients and research where one compares wearables against each other.
APA, Harvard, Vancouver, ISO, and other styles
7

Jönsson, Mattias. "TempScanner : An application to detect fever." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-40768.

Full text
Abstract:
This thesis describes how a solution can be built to detect human flu-like symptoms. Flu-like symptoms are important to detect to prevent Covid-19 [6]. As people are returning to work there is a need for a simple way of detecting flu-like symptoms to prevent the spread of Covid-19. Other than a solution, this thesis concluded how human flu-like symptoms can be detected, with cameras specifically. This is to know what symptoms are most likely to work for a prototype. The technique of cameras and thermal cameras made this project possible as well as the technique of a single-board computer. The technique of cloud-based services is also an important part of this project. This project has resulted in a novel prototype using a single-board computer, cameras, and various cloud-based services to detect and inform a person if he or she has a human flu-like symptom.
APA, Harvard, Vancouver, ISO, and other styles
8

Olsson, Joel, and Junior Asante. "Using Node-Red to Connect Patient, Staff and Medical Equipment." Thesis, Linköpings universitet, Institutionen för systemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129781.

Full text
Abstract:
The emergency departments in Region Östergötland use pen and paper to a large extent when recording emergency care procedures and measurements. During treatment the patient should be the main focus. Because of this, recording of measurements done could be delayed or in worst case forgotten during stressful situations. The proposal of this project is the development of a prototype that tries to make the administrative work a passive procedure rather than an active one. The system developed uses a Raspberry Pi, along with Node-Red, which connects predefined patient data and medical records, with the clinical staff tending the patient. All these connections are initiated by mainly using RFID technology. The conclusion made with the developed system is that it should unload the staff with the recording of data and that it helps make a data logging a more passive work than today’s used methods. Along with a process that is easier to operate, the time spent on administrative work could be reduced with the proposed system.
APA, Harvard, Vancouver, ISO, and other styles
9

Kuo, Hsin-Ching, and 郭信慶. "Propose a Service Model of Internet of Medical Things (IoMT) in Home Care for the Elderly People." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/hb6798.

Full text
Abstract:
碩士<br>國立交通大學<br>資訊管理研究所<br>106<br>Since 1982, the elderly population of Taiwan has accounted more than 7% of the total population and has started to move in an aging society. Impact of decreasing birthrate, at the end of February 2017, the registered elderly population (over 65 years old) are more than the younger population (0-14 years old). According to the survey, about 70% of the elderly want to live with their children or spouses. But the family structure is slowly changing, and the care of the elderly people at home are going to be challenging. With the development of information and communications technology (ICT), several healthcare care systems and tools can be employed for the care of the elderly people at home. For example, Internet of things (IoT) such as wearable devices or sensors can be applied to sense basic physiological signals and upload these directly to the cloud platform. When there is an emergency situation, it can send out warning signals to the family to warn about the physiological condition. It can also be connected with the hospital or the care organization, which allows physicians and caregivers to monitor instantly and provide better care employing the remote care system. There are four purposes of the current study. First, explore the common needs required for elderly care. Understand the different needs of healthcare, psychological adjustment, economy, life care, and housing. Then a detailed discussion on health care and life care was employed. Second, explore the development of the IoT, including its operational model and basic structure. Third, understand the application of the IoT in medical care and explore how IoT can be applied in fields such as medical care or hospitals, and how it can be employed to improve the quality of medical care. The last item is to propose a comprehensive medical network for the elderly care service model. Integrate the care needs of the elderly at home, and connect the various services through the technology of the IoT to provide comprehensive care services for the elderly people. 　　The literature review from 2010 to 2017 was employed to collect data. We include doctoral thesis, government research projects, publication of foreign journals and academic papers published in seminars are included for current study. A total of 199 published academic papers on the elderly care population related with IoT were finally included for the current study. All these studies are classified into six categories: health monitoring, using drugs, environmental safety, activities and sports, location monitoring and help, and rehabilitation. Discuss the several contents to understand how the Internet of Medical Things (IoMT) can solve the needs of elderly care. At the end of the study, a medical network structure was proposed for the home care service model of the elderly population. First, wearable devices and sensors are placed on the user to monitor their physical condition. Sensors and monitors are also built in a way which can work in the homely environment. Then, upload the relevant data to the cloud for storage and analysis. Finally, it is used to provide services such as health management, disease monitoring, diet, exercise, and rehabilitation to meet several medical care and daily needs. It can be used to provide preventive care and prevent disability or help to detect the disease in early stage and provide corresponding medical care services. It can be employed as self-health care management for healthy elderly people. Elderly people suffering from chronic diseases and have long-term care for disability can use it to monitor their physical condition instantly. However, it can be employed to reduce the burden on home caregivers, indirectly reduce the medical care costs, and improve the quality of care. The limitation of this study is that the data was collected only from published academic articles. Thus, there are lacks the opinions of experts. Therefore, future research should use questionnaires, interviews, and the opinions of relevant personnel to make the study findings more comprehensive. In addition, the service model proposed in this study is only a concept and has not been actually implemented. In the future research, it is expected to develop a system that can be used in practice, and discuss the system functions in the more precise way. Finally, security protection and transmission of users’ information are reinforced to protect the privacy of users.
APA, Harvard, Vancouver, ISO, and other styles
10

Chou, Yu-Hsiang, and 周裕翔. "Internet of Things (IoT) Technology Applies to Medical Long-Tern Health Care Cloud Computing Products." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/21130932723248783045.

Full text
Abstract:
碩士<br>淡江大學<br>管理科學學系企業經營碩士在職專班<br>101<br>In view of Taiwan&apos;&apos;s population is aging rapidly, causing that need to be taken care of the elderly population continues to grow, on the contrary the structure of double-income families to take care of human caused reduced, so the need for the development of long-term care is more and more important. Current home care, the majority of family members or to hire only licensed non-nursing home care as a non-professional caregivers are often unable to provide professional medical care. As a result, new types of remote health care services have emerged, using remote monitoring of care mode is the future trend of an aging society.In this study, we apply IoT (Internet of Things, IoT) structure model and cloud services to traditional long-term care system, to analyze advantages by data flow diagrams (Data Flow Diagram, DFD). In this cases study, a chronic diabetic patients using long-term care systems with IoT structure, to analysis of actual usage, verify that the actual results.Verify that the actual results, we found by using the Internet of Things structure Telecare system is a viable option.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Medical-Things (IoMT)"

1

Farhadi, Hamed, ed. Medical Internet of Things (m-IoT) - Enabling Technologies and Emerging Applications. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.71858.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Medical-Things (IoMT)"

1

Bharati, Subrato, Prajoy Podder, M. Rubaiyat Hossain Mondal, and Pinto Kumar Paul. "Applications and Challenges of Cloud Integrated IoMT." In Cognitive Internet of Medical Things for Smart Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55833-8_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Udgata, Siba Kumar, and Nagender Kumar Suryadevara. "COVID-19, Sensors, and Internet of Medical Things (IoMT)." In Internet of Things and Sensor Network for COVID-19. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7654-6_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Raghavendrarao, B., C. Sivaprakash, M. G. Gireeshan, A. Shajahan, and S. Prasanth. "Deep Belief Network Based Healthcare Monitoring System in IoMT." In Cognitive Internet of Medical Things for Smart Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55833-8_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Parvathy, Velmurugan Subbiah, Sivakumar Pothiraj, and Jenyfal Sampson. "Automated Internet of Medical Things (IoMT) Based Healthcare Monitoring System." In Cognitive Internet of Medical Things for Smart Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55833-8_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Anitha Kumari, K., R. Padmashani, R. Varsha, and Vasu Upadhayay. "Securing Internet of Medical Things (IoMT) Using Private Blockchain Network." In Intelligent Systems Reference Library. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33596-0_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

D’Souza, Rohan. "Implementation of the Internet of Medical Things (IoMT): Clinical and Policy Implications." In Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66633-0_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Divya, K., Akash Sirohi, Sagar Pande, and Rahul Malik. "An IoMT Assisted Heart Disease Diagnostic System Using Machine Learning Techniques." In Cognitive Internet of Medical Things for Smart Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55833-8_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Monteiro, Kayo, Élisson Silva, Émerson Remigio, Guto Leoni Santos, and Patricia Takako Endo. "Internet of Medical Things (IoMT) Applications in E-Health Systems Context." In Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-14647-4_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Jeba Kumar, R. J. S., J. Roopa Jayasingh, and Deepika Blessy Telagathoti. "Intelligent Transit Healthcare Schema Using Internet of Medical Things (IoMT) Technology for Remote Patient Monitoring." In Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63937-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Peter Soosai Anandaraj, A., V. Gomathy, A. Amali Angel Punitha, D. Abitha Kumari, S. Sheeba Rani, and S. Sureshkumar. "Internet of Medical Things (IoMT) Enabled Skin Lesion Detection and Classification Using Optimal Segmentation and Restricted Boltzmann Machines." In Cognitive Internet of Medical Things for Smart Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55833-8_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Medical-Things (IoMT)"

1

Vishnu, S., S. R. Jino Ramson, and R. Jegan. "Internet of Medical Things (IoMT) - An overview." In 2020 5th International Conference on Devices, Circuits and Systems (ICDCS). IEEE, 2020. http://dx.doi.org/10.1109/icdcs48716.2020.243558.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

PremaLatha, V., E. Sreedevi, and S. Sivakumar. "Contemplate on Internet of Things Transforming as Medical Devices - The Internet of Medical Things (IOMT)." In 2019 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2019. http://dx.doi.org/10.1109/iss1.2019.8908090.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Limaye, Ankur, and Tosiron Adegbija. "A Workload Characterization for the Internet of Medical Things (IoMT)." In 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). IEEE, 2017. http://dx.doi.org/10.1109/isvlsi.2017.60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sharipudin, Asma', and Widad Ismail. "Internet of Medical Things (IoMT) for Patient Healthcare Monitoring System." In 2019 IEEE 14th Malaysia International Conference on Communication (MICC). IEEE, 2019. http://dx.doi.org/10.1109/micc48337.2019.9037498.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Allouzi, Maha A., and Javed I. Khan. "Soter: Trust Discovery Framework for Internet of Medical Things (IoMT)." In 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2019. http://dx.doi.org/10.1109/wowmom.2019.8792971.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nkomo, Danisa, and Ray Brown. "Hybrid Cybersecurity Framework for the Internet of Medical Things (IOMT)." In 2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3). IEEE, 2019. http://dx.doi.org/10.1109/icgs3.2019.8688030.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kumar Das, Polash, Fenghua Zhu, Shichao Chen, Can Luo, Prabhat Ranjan, and Gang Xiong. "Smart Medical Healthcare of Internet of Medical Things (IOMT): Application of Non-Contact Sensing." In 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019. http://dx.doi.org/10.1109/iciea.2019.8833992.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Villanueva-Miranda, Ismael, Homer Nazeran, and Radek Martinek. "A Semantic Interoperability Approach to Heterogeneous Internet of Medical Things (IoMT) Platforms." In 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, 2018. http://dx.doi.org/10.1109/healthcom.2018.8531103.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hatzivasilis, George, Othonas Soultatos, Sotiris Ioannidis, Christos Verikoukis, Giorgos Demetriou, and Christos Tsatsoulis. "Review of Security and Privacy for the Internet of Medical Things (IoMT)." In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 2019. http://dx.doi.org/10.1109/dcoss.2019.00091.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Karmakar, Kallol Krishna, Vijay Varadharajan, Uday Tupakula, Surya Nepal, and Chandra Thapa. "Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT)." In 2020 6th IEEE International Conference on Network Softwarization (NetSoft). IEEE, 2020. http://dx.doi.org/10.1109/netsoft48620.2020.9165387.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Medical-Things (IoMT)' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography