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Journal articles on the topic 'Smart healthcare tool'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Luo, Qi. "Research on smart health monitoring tool." Applied and Computational Engineering 6, no. 1 (2023): 359–67. http://dx.doi.org/10.54254/2755-2721/6/20230808.

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The following project comprehensively discusses a cloud-based health monitoring system that can collect patients health parameters. The data is then transmitted to the internet, where healthcare personnel can access it. The logic behind the project is that data can be transmitted and accessed on a platform on the internet. Thus, facilitating ease of coordination between patients and practitioners. The topic is an intelligent monitoring health tool that collects and transmits data to the cloud. The research method, in this case, combines a literature study and statistical analysis of the collec

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Zhao, X., and B. Ge. "An indicator framework for assessing the readiness of hospital in the smart healthcare transformation." IOP Conference Series: Earth and Environmental Science 1101, no. 7 (2022): 072010. http://dx.doi.org/10.1088/1755-1315/1101/7/072010.

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Abstract The technical and management issues that existed in traditional healthcare institutions, such as relatively lagging technologies, untimely information, have received increasing attention. In recent decades, the reconstruction or transformation of smart healthcare system has emerged as a new research trend. Especially with the outbreak of the COVID-19 epidemic, the smart healthcare system realizes the timely allocation of medical resources and sharing of information. Therefore, this paper aims to develop an indicator framework for assessing the hospital’s readiness in transforming towa

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Gagliardi, Anna Roberta, and Francesco Albergo. "The rise of smart healthcare in smart cities: A Bibliometric Literature Review and avenue for a research agenda." ITM Web of Conferences 51 (2023): 03002. http://dx.doi.org/10.1051/itmconf/20235103002.

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The purpose of this paper is to review and critique the literature on the role of smart cities within the healthcare context, providing an overview of the state of research and outlining a future research agenda. Initially, six hundred and seventeen newspaper articles were extracted from Scopus, and their content was analysed for the article selection process by the two researchers in parallel. Finally, forty-six articles dealing with smart cities in healthcare and published in various academic journals have been analysed through content analysis and bibliometric analysis. The results show tha

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M., Sonali, Jayashri T., and S.Sonal. "A NOVEL SMART STETHOSCOPE FOR HEALTH CARE PROVIDERS." JournalNX - A Multidisciplinary Peer Reviewed Journal QIPCEI2K18 (April 30, 2018): 163–66. https://doi.org/10.5281/zenodo.1411829.

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A stethoscope is an instrument used in auscultation to transmit signals from patient body to the ear of the healthcare provider. Depending on where the stethoscope is placed on the body, healthcare providers can hear the sounds of the bowels, the lungs and even blood going through an artery. In this paper, a novel efficient device is proposed to train health-care providers. Using the proposed device will enable the healthcare providers to properly use the medical stethoscope. A questionnaire is created to ask healthcare providers about the efficiency of the proposed device. Results show that m

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Rizk, Dalia Kamal A. A., Hoda M. Hosny, El-Sayed M. El-Horbaty, and Abdel-Badeeh M. Salem. "APPLYING AI FOR TIMELY INPUT TO A SMART HEALTHCARE SYSTEM." Journal of Southwest Jiaotong University 57, no. 4 (2022): 312–25. http://dx.doi.org/10.35741/issn.0258-2724.57.4.28.

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Smart healthcare systems play a vital role in people's everyday lives and hence, healthcare systems are expected to continue to improve and advance. AI and IoT techniques are employed in the prescription of medicine and in setting the different actions and procedures that need to be followed by patients by the health service providers. These technologies, along with ML algorithms, form a reliable and concrete platform because of their high processing performance. Meanwhile, it is important to maintain accurate input data for these new technologies to ensure that they will give us the desired o

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Sabitha, K., N. U. Anush, G. Gowtham, S. Kesavan, R. Naveenkumar, and R. Praveen. "MediRescue Hub: Quick Access to Healthcare Services." Research and Applications of Web Development and Design 8, no. 3 (2025): 10–13. https://doi.org/10.5281/zenodo.15461120.

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<em>In recent years, the demand for accessible and fast healthcare solutions has significantly increased, particularly due to the rise in chronic illnesses and emergency cases. The MediRescue Hub project was developed to address common healthcare access challenges by offering a web-based system that allows users to book doctor appointments, securely manage medical records, receive AI-driven medication reminders, and locate nearby emergency services with ease. By combining core medical services with digital innovation, the platform seeks to reduce delays in healthcare delivery, enhance medical

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Ioppolo, Giuseppe, Franck Vazquez, Michael G. Hennerici, and Emmanuel Andrès. "Medicine 4.0: New Technologies as Tools for a Society 5.0." Journal of Clinical Medicine 9, no. 7 (2020): 2198. http://dx.doi.org/10.3390/jcm9072198.

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Are new technologies in the medicine sector a driver to support the development of a society 5.0? Innovation pushes the artisan to become smart and lean, customer-oriented but within a standardized environment of production, maintaining and ensuring the quality of the product. An artisan is a user and innovator, as an essential part of the industrial chain. In the healthcare sector, the doctor is the industrial artisan, and medicine can be considered as an example of a smart tool, strongly tailored, that embeds the innovation of materials, nano-devices, and smart technology (e.g., sensors and

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Hussain, Faisal, Syed Ghazanfar Abbas, Ghalib A. Shah, et al. "A Framework for Malicious Traffic Detection in IoT Healthcare Environment." Sensors 21, no. 9 (2021): 3025. http://dx.doi.org/10.3390/s21093025.

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The Internet of things (IoT) has emerged as a topic of intense interest among the research and industrial community as it has had a revolutionary impact on human life. The rapid growth of IoT technology has revolutionized human life by inaugurating the concept of smart devices, smart healthcare, smart industry, smart city, smart grid, among others. IoT devices’ security has become a serious concern nowadays, especially for the healthcare domain, where recent attacks exposed damaging IoT security vulnerabilities. Traditional network security solutions are well established. However, due to the r

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Velliangiri, S., P. Karthikeyan, Vinayakumar Ravi, Meshari Almeshari, and Yasser Alzamil. "Intelligence Amplification-Based Smart Health Record Chain for Enterprise Management System." Information 14, no. 5 (2023): 284. http://dx.doi.org/10.3390/info14050284.

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Medical service providers generate many healthcare records containing sensitive and private information about a patient’s health. The patient can allow healthcare service providers to generate healthcare data, which can be stored with healthcare service providers. After some time, if the patient wants to share the healthcare records of one healthcare service provider with another, we can quickly exchange the healthcare record using our approaches. The challenges faced by healthcare service providers are healthcare record sharing, tampering, and insurance fraud. We have developed Health Record

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Dr. G. Saravanan, R Punitha Gowri, Naveen P. N, Sankar R, and Sudharsan R. "Smart Prescription Recognition And Symptom Analysis For Healthcare Solutions." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 670–73. https://doi.org/10.47392/irjaeh.2025.0093.

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The digital solutions for handling prescriptions and health monitoring become more and more popular as the consequence of an increasing need for efficiency in the healthcare industry. The goal of the project, "Smart Prescription Recognition and Symptom Analysis for Healthcare Solutions," is to provide symptom-based health predictions and automated the recognition of prescriptions that are handwritten. The system's fundamental characteristics are as follows: first, it uses optical character recognition (OCR) technology to accurately interpret medication data by converting handwritten prescripti

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Korchagina, L. M. "Cost accounting as a tool for managing profitability in healthcare organizations." Buhuchet v zdravoohranenii (Accounting in Healthcare), no. 11 (November 1, 2021): 42–49. http://dx.doi.org/10.33920/med-17-2111-05.

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Cost accounting is an effective management tool that allows a company to measure profitability by collecting key information by recording and tracking the data necessary for the most efficient and profitable operation of the company. Managing costs to maintain profitability is a top priority in all industries, which means relying on data to make smart and informed decisions. Cost data is the basis for strategic decisions. Having the right information available is key for every decision-maker. The article examines the issues of cost accounting, as well as problems related to profitability manag

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Georgina, Githara, and Joshua Tumuti Dr. "EFFECT OF AGILE MANAGEMENT PRACTICES ON PROJECT PERFORMANCE OF SMART APPLICATIONS LIMITED." International Journal of Social Science and Humanities Research 12, no. 3 (2024): 49–58. https://doi.org/10.5281/zenodo.12700798.

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<strong>Abstract:</strong><em> </em>Effective project management stands as a cornerstone for organizational growth, particularly in the healthcare sector where innovative practices are imperative for delivering high-quality services. Despite advancements, challenges persist, including technology project failures, inadequate research, and issues of transparency. Smart Applications Limited, a provider of ICT services, operates within this dynamic environment, facing pressures to adapt to disruptive digital technologies while ensuring project success. This study seeks to investigate the effect of

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Ryu, Jihyeon, Dongwoo Kang, Hakjun Lee, Hyoungshick Kim, and Dongho Won. "A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems." Sensors 20, no. 24 (2020): 7136. http://dx.doi.org/10.3390/s20247136.

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Internet of Things (IoT) technology has recently been integrated with various healthcare devices to monitor patients’ health status and share it with their healthcare practitioners. Since healthcare data often contain personal and sensitive information, healthcare systems must provide a secure user authentication scheme. Recently, Adavoudi-Jolfaei et al. and Sharma and Kalra proposed a lightweight protocol using hash function encryption only for user authentication on wireless sensor systems. In this paper, we found some weaknesses in target schemes. We propose a novel three-factor lightweight

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Kumar, Tanesh, An Braeken, Anca Delia Jurcut, Madhusanka Liyanage, and Mika Ylianttila. "AGE: authentication in gadget-free healthcare environments." Information Technology and Management 21, no. 2 (2019): 95–114. http://dx.doi.org/10.1007/s10799-019-00306-z.

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Abstract Mobile and sensor related technologies are significantly revolutionizing the medical and healthcare sectors. In current healthcare systems, gadgets are the prominent way of acquiring medical services. However, the recent technological advancements in smart and ambient environments are offering users new ways to access the healthcare services without using any explicit gadgets. One of the key challenges in such gadget-free environments is performing secure user authentication with the intelligent surroundings. For example, a secure, efficient and user-friendly authentication mechanism

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Taher, Bahaa Hussein, Huiyu Liu, Firas Abedi, Hongwei Lu, Ali A. Yassin, and Alzahraa J. Mohammed. "A Secure and Lightweight Three-Factor Remote User Authentication Protocol for Future IoT Applications." Journal of Sensors 2021 (April 27, 2021): 1–18. http://dx.doi.org/10.1155/2021/8871204.

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With the booming integration of IoT technology in our daily life applications such as smart industrial, smart city, smart home, smart grid, and healthcare, it is essential to ensure the security and privacy challenges of these systems. Furthermore, time-critical IoT applications in healthcare require access from external parties (users) to their real-time private information via wireless communication devices. Therefore, challenges such as user authentication must be addressed in IoT wireless sensor networks (WSNs). In this paper, we propose a secure and lightweight three-factor (3FA) user aut

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Irshad, Reyazur Rashid, Ahmed Abdu Alattab, Omar Ali Saleh Alsaiari, et al. "An Optimization-Linked Intelligent Security Algorithm for Smart Healthcare Organizations." Healthcare 11, no. 4 (2023): 580. http://dx.doi.org/10.3390/healthcare11040580.

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IoT-enabled healthcare apps are providing significant value to society by offering cost-effective patient monitoring solutions in IoT-enabled buildings. However, with a large number of users and sensitive personal information readily available in today’s fast-paced, internet, and cloud-based environment, the security of these healthcare systems must be a top priority. The idea of safely storing a patient’s health data in an electronic format raises issues regarding patient data privacy and security. Furthermore, with traditional classifiers, processing large amounts of data is a difficult chal

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Meftah, Mohammed Charaf Eddine, Cherif Ahmed Cherif, Belgacem Meraghni, and Chafik Berdjouh. "Hybrid Architecture Based on Blockchain Technology and Smart Contracts for Healthcare Applications." International Journal of Organizational and Collective Intelligence 12, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijoci.313600.

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The goal of this paper is to design a hybrid architecture based on blockchain technology and smart contracts for healthcare applications. The problem that will be addressed is how to achieve a balance between the three standard concepts of the success of the health system, which are: “privacy,” “security,” and “efficiency and effectiveness of data usage.” The authors proposed a hybrid architecture for a more balanced approach by storing the light information in the blockchain (distributed and decentralized storage), except for large media files, which are in the central storage, which reduces

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K, Revathi. "Intelligent Environment using Extended Reality and Machine Learning to Improve Healthcare." International Journal of Innovative Research in Information Security 10, no. 04 (2024): 224–29. http://dx.doi.org/10.26562/ijiris.2024.v1004.23.

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Intelligent Environments (IEs) represent a paradigm shift in the way we interact with our surroundings, leveraging Ambient Intelligence (AmI) to create responsive and adaptive spaces that seamlessly integrate technology into the built environment. By harnessing sensors, actuators, and artificial intelligence, IEs have the potential to enhance human experience, improve efficiency, and promote sustainability across various domains, including smart homes, workplaces, cities, and healthcare facilities. This paper provides an overview of IE concepts, discusses key technologies and applications, exp

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International, Journal of Dental Science and Innovative Research (IJDSIR). "Smart Safety: How AI is Transforming Drug Monitoring." International Journal of Dental Science and Innovative Research (IJDSIR) 8, no. 2 (2025): 77–84. https://doi.org/10.5281/zenodo.15210215.

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<strong>Abstract</strong> Ensuring the safety of newly launched drugs remains a major challenge in pharmacology, with adverse events contributing to unnecessary morbidity and mortality. Traditional methods, including clinical trials and post-marketing pharmacovigilance, are not error-proof, often failing to detect rare adverse events or drug-drug interactions. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, driven by advancements in machine learning (ML) and deep learning (DL). In pharmacology, AI facilitates target identification, lead compound screening, AI-G

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Moreno Escobar, Jesús Jaime, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, Ixchel Lina Reyes, Liliana Chanona Hernández, and Ana Gabriela Ramírez Gutiérrez. "Brain-Inspired Healthcare Smart System Based on Perception-Action Cycle." Applied Sciences 10, no. 10 (2020): 3532. http://dx.doi.org/10.3390/app10103532.

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This work presents the HSS-Cognitive project, which is a Healthcare Smart System that can be applied in measuring the efficiency of any therapy where neuronal interaction gives a trace whether the therapy is efficient or not, using mathematical tools. The artificial intelligence of the project underlies in the understanding of brain signals or Electroencephalogram (EEG) by means of the determination of the Power Spectral Density (PSD) over all the EEG bands in order to estimate how efficient was a therapy. Our project HSS-Cognitive was applied, recording the EEG signals from two patients treat

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Abbas, Sagheer, Ghassan F. Issa, Areej Fatima, et al. "Fused Weighted Federated Deep Extreme Machine Learning Based on Intelligent Lung Cancer Disease Prediction Model for Healthcare 5.0." International Journal of Intelligent Systems 2023 (April 17, 2023): 1–14. http://dx.doi.org/10.1155/2023/2599161.

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In the era of advancement in information technology and the smart healthcare industry 5.0, the diagnosis of human diseases is still a challenging task. The accurate prediction of human diseases, especially deadly cancer diseases in the smart healthcare industry 5.0, is of utmost importance for human wellbeing. In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a dizzying pace, from a small wristwatch to a big aircraft. With this advancement in the healthcare industry, there also rises the issue of data privacy. To ensure the privacy of patients’ data and fast

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Jayanti, Ni Ketut Dewi Ari, Evi Triandini, Gde Sastrawangsa, and Ni Wayan Deriani. "Mobile Application Characteristics and User Perspective in Smart Healthcare Service Applications." CommIT (Communication and Information Technology) Journal 16, no. 1 (2022): 97–103. http://dx.doi.org/10.21512/commit.v16i1.8015.

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The current COVID-19 pandemic has an impact on accelerating the digital transformation of various sectors in Indonesia, one of which is the health sector. Hence, many mobile applications of smart healthcare service have been developed, which can be a solution for people to get better health services. The aim of the research is to evaluate the mobile application (SpeedId and SpeedQ) for smart healthcare service based on the user perspective and the characteristics of the mobile application. The research is an analytic observational study that contains five stages of research. There are 64 respo

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Choudhari, Vaishnavi. "A Review on Smart Mirror with Emotion Monitoring." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41321.

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This paper presents the survey of a Smart Mirror with Emotion Monitoring, which integrates advanced technologies like facial recognition and deep learning to enhance user interaction and mental well-being. The system detects facial features and classify emotions such as happiness and sadness in real time. Based on the detected emotions, the mirror provides personalized feedback, such as motivational quotes or cheerful messages, also displays daily essentials like time, weather, and calendar updates. By combining emotional intelligence with traditional functionalities, the smart mirror offers a

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Sairam, G. V., Sankalp Kumar, Shefali Gupta, and Syed Sharique Haider. "Healthcare Management System Using Blockchain." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3876–80. http://dx.doi.org/10.22214/ijraset.2023.51153.

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Abstract: The current healthcare system has traditionally relied on paper-based medical records or electronic medical records (EMRs) that are stored in centralized databases. This method, however, has shown to be ineffective and unreliable, causing major delays in patient care. Medical documents are frequently sent over email as a temporary fix; however, this approach is unsafe and unreliable. Data breaches or unauthorised access to sensitive patient information pose a serious danger and may have far-reaching repercussions for both patients and healthcare providers. Blockchain technology can p

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Shreyas, J., AP Jyothi, and H. M. Mallaradhya. "Smart Robotic Surgical Assistant Using Voice Command and Image Processing." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 12 (2024): 5457–66. https://doi.org/10.5281/zenodo.14287553.

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This paper presents the development of a smart robotic surgical assistant that utilizes voice command and image processing to aid in surgical instrument handling. The system integrates a Dobot robotic arm controlled through verbal instructions to retrieve and position surgical tools, while an image recognition model, based on VGG16, identifies instruments in real-time from camera feeds. This automation enables hands-free operation, supporting sterile conditions and enhancing efficiency in the operating room (OR). A dataset comprising high-resolution surgical tool images was curated to fine-tun

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Luo, Xiaojin, Weihua Shi, Yiqun Liu, Pengju Sha, Yanan Chu, and Yue Cui. "A Smart Tongue Depressor-Based Biosensor for Glucose." Sensors 19, no. 18 (2019): 3864. http://dx.doi.org/10.3390/s19183864.

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The development of new bioelectronic platforms for direct interactions with oral fluid could open up significant opportunities for healthcare monitoring. A tongue depressor is a widely used medical tool that is inserted into the mouth, where it comes into close contact with saliva. Glucose is a typical salivary biomarker. Herein, we report—for the first time—a tongue depressor-based biosensor for the detection of glucose in both phosphate buffer and real human saliva. Carbon nanotubes (CNTs) are attractive electronic materials, with excellent electrochemical properties. The sensor is construct

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Wagino, W., Zaenal Abidin, Onny Fransinata Anggara, S. Sujarwanto, and Amadhila Elina Penehafo. "Android Application for Smart Diagnosis of Children with Disabilities and Its Correlation to Neuroscience: Definition, Literature Review with Bibliometric Analysis, and Experiments." Indonesian Journal of Science and Technology 9, no. 2 (2024): 497–526. https://doi.org/10.17509/ijost.v9i2.71659.

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This study aimed to develop a Smart Diagnosis Application for Children with Disabilities as a tool that can detect early developmental disorders in children with indications of special needs. The development of smart diagnostic applications for children with special needs represents a significant advancement in early childhood care and intervention. Developing a smart diagnostic application involves a structured design-based research (DBR) process to ensure the application effectively meets the needs of children. Smart diagnostic applications use advanced technologies like artificial intellige

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Sabir, Sohail, and Knawal Sohail. "Artificial Intelligence in Healthcare Industry: A New World Order in Medicine and Allied." Pakistan Armed Forces Medical Journal 74, no. 6 (2024): 1476–77. https://doi.org/10.51253/pafmj.v74i6.13051.

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Artificial intelligence (AI) or machine learning is the simulation of human minds in learning and analysis. AI is mainly concerned with implementing neural network algorithms on a physical computation platform. There has been an explosive interest in AI in recent years, and AI will continue its momentum to develop as a powerful tool for biomedicine.1 As AI can imitate human cognitive abilities, it has revolutionized industries, unlocked new opportunities and avenues of research, and increased efficacy. AI has emerged in various technical fields, from smart robotic

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Chung, Jane, Jodi Winship, Tracey Gendron, Rachel Wood, Natalie Mansion, and George Demiris. "ENGAGING LOW-INCOME SENIORS IN PARTICIPATORY DESIGN OF SMART SPEAKER APPLICATIONS FOR WELLNESS." Innovation in Aging 6, Supplement_1 (2022): 252–53. http://dx.doi.org/10.1093/geroni/igac059.1001.

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Abstract Low-income senior housing (LISH) residents are at a high risk of unmanaged health conditions, loneliness, and limited healthcare access. Smart speakers have the potential to improve wellness in LISH settings. We conducted a user-centered process with primarily African American, LISH residents (N=25) to develop prototypes of smart speaker applications for wellness and social connections. Five focus groups were conducted to elicit feedback about challenges with maintaining wellness and attitudes towards smart speakers. Participants expressed their desires for using the technology for sa

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Nadifi, Zineb, Mariyam Ouaissa, Mariya Ouaissa, Mohamed Alhyan, and Ali Kartit. "STRIDE-Based Threat Modeling and Risk Assessment Framework for IoT-enabled Smart Healthcare Systems." International Journal of Online and Biomedical Engineering (iJOE) 21, no. 09 (2025): 63–80. https://doi.org/10.3991/ijoe.v21i09.55517.

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The increase in the evolution of Internet of Things (IoT) architectures and their use in different domains, such as agriculture, smart cities/homes, industry, transport and logistics, and others, has triggered a proportional increase in vulnerabilities, threats, and security risks that violate security objectives. The criticality of the information circulating in the architecture and assets exposed to public networks such as the internet imperatively implies effective management beforehand of the factors that can put a system at risk. This article focuses mainly on the IoT in the healthcare se

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Wu, Tsu-Yang, Tao Wang, Yu-Qi Lee, Weimin Zheng, Saru Kumari, and Sachin Kumar. "Improved Authenticated Key Agreement Scheme for Fog-Driven IoT Healthcare System." Security and Communication Networks 2021 (January 30, 2021): 1–16. http://dx.doi.org/10.1155/2021/6658041.

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The Internet of things (IoT) has been widely used for various applications including medical and transportation systems, among others. Smart medical systems have become the most effective and practical solutions to provide users with low-cost, noninvasive, and long-term continuous health monitoring. Recently, Jia et al. proposed an authentication and key agreement scheme for smart medical systems based on fog computing and indicated that it is safe and can withstand a variety of known attacks. Nevertheless, we found that it consists of several flaws, including known session-specific temporary

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AlAli, Dana, Nadarajah Manivannan, and Yanmeng Xu. "A Framework for Effective Design Thinking Based Smart Cities Projects in Qatar." Smart Cities 6, no. 1 (2023): 531–62. http://dx.doi.org/10.3390/smartcities6010025.

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With the growing implementation of smart city projects and the significance of the research problem related to effective design thinking, the opinion of the ordinary citizens have become very relevant and contemporary. The current paper presents a quantitative empirical study focused on the attitudes towards and the readiness to accept smart cities in the specific context of Qatar. The study employs a survey questionnaire as a data collection tool. The survey is distributed online among a sample of 40 respondents from Qatar, including both residents and non-residents of smart cities in the cou

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Sharma, Himanshu, Ahteshamul Haque, and Frede Blaabjerg. "Machine Learning in Wireless Sensor Networks for Smart Cities: A Survey." Electronics 10, no. 9 (2021): 1012. http://dx.doi.org/10.3390/electronics10091012.

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Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to efficiently manage the automated operation of the internet of things (IoT) nodes deployed in smart cities. In smart cities, the major IoT applications are smart traffic monitoring, smart waste management, smart buildings and patient healthcare monitoring. The small size IoT nodes based on low power Bluetooth (IEEE 802.15.1) standard and wireless sensor networks (WSN) (IEEE 802.15.4) standard are generally used for transmission of data to a remote location using gateways. The WSN based IoT (WSN-IoT) design

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Amodkar, Priyanka, and Smita Kulkarni. "Healthcare Solution Using Machine to Machine Communication." Journal of Advance Research in Electrical & Electronics Engineering (ISSN: 2208-2395) 2, no. 4 (2015): 01–05. http://dx.doi.org/10.53555/nneee.v2i4.198.

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This paper provides a prototype which uses machine to machine communication to provide healthcare solution. ECG and PPG is an important tool to interpret a wide range of heart conditions. Early warning and patient awareness are critical in preventing permanent heart damage and saving much of the heart muscles. These critical conditions motivated us to develop a prototype that provides a long term ECG and PPG monitoring. This prototype consists of ECG and PPG sensors at the patient’s side, that monitors the ECG and PPG and record the signals, this readings are then transmitted with the help of

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Băcescu Ene, Gianina-Valentina, Mirela-Anca Stoia, Cristian Cojocaru, and Doina Adina Todea. "SMART Multi-Criteria Decision Analysis (MCDA)—One of the Keys to Future Pandemic Strategies." Journal of Clinical Medicine 14, no. 6 (2025): 1943. https://doi.org/10.3390/jcm14061943.

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Background/Objectives: The COVID-19 pandemic underscored the need for adaptive public health strategies and effective decision-making tools to optimize clinical responses and policy measures based on regional contexts. This study aims to identify key criteria for developing a patient-centered strategy to enhance the resilience of Romania’s healthcare system during the pandemic. Methods: This research introduces a Multi-Criteria Decision Analysis (MCDA) model using the Simple Multiple Attribute Assessment Technique (SMART) to integrate quantitative and qualitative data, providing decision-maker

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Hoang Lan, Van, Thi Le Minh, Nguyet Nguyen Thi, Hien Bui Thi, and Liamputtong Pranee. "A mobile application to support self-management among people with chronic kidney disease in Vietnam: Study protocol for a codesign-based intervention." Journal of Health and Development Studies 06, no. 04 (2022): 54–65. http://dx.doi.org/10.38148/jhds.0604skpt22-046.

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ackground: In Vietnam, chronic kidney disease (CKD) is becoming a major problem with an estimated six million people having the disease due to the rise in diabetes and hypertension. Due to the COVID-19 pandemic, the Ministry of Health took swift action to limit the referral of people with chronic diseases to city-based healthcare services to protect this highly vulnerable group. Thus, providing a mobile support program for kidney health is extremely important to provide alternative healthcare and support access. Methods/ design:The Smart Kidney Health Support program is a telehealth program ai

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Nandhitha M, Vasundhara. "SIGNVISION – A SMART BIDIRECTIONAL SIGN LANGUAGE TRANSLATOR." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04464.

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Abstract: Sign Vision is all-in-one solution for transparent communication by providing instant two-way translation of sign and spoken language. It uses state of the art computer vision, deep learning, and speech processing technologies to understand gestures and convert them into text and speech. Comment It also translates speech into animated sign images. Sign Vision supports several Indian languages and with its accessible interface, it is a versatile tool for communication, useful in public spaces, schools and healthcare settings. Sign Vision consists of multiple integrated modules that ha

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Liu, Hsiao-Man, Chung-Chi Huang, Chung-Lin Huang, and Yen-Ting Ke. "Intelligent assessment and prediction system for somatic fitness and healthcare using machine learning." Journal of Intelligent & Fuzzy Systems 40, no. 4 (2021): 7957–67. http://dx.doi.org/10.3233/jifs-189618.

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This study proposes a health assessment and predictive assistance system for intelligent health monitoring. Through machine learning, the tool features a customized set of quantitative measurements and web analysis systems for physical and mental fitness. The system replaces the manpower and time requirements of the past necessary to conduct interviews and keep paper records, allowing users to observe and analyze physical and mental fitness status through the webpage. To achieve this, ECG, EEG, and EMAS are used to follow physiological, psychological, and meridian energy states. ASP.NET softwa

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Ijaz, Muhammad, Gang Li, Huiquan Wang, et al. "Intelligent Fog-Enabled Smart Healthcare System for Wearable Physiological Parameter Detection." Electronics 9, no. 12 (2020): 2015. http://dx.doi.org/10.3390/electronics9122015.

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Wearable technology plays a key role in smart healthcare applications. Detection and analysis of the physiological data from wearable devices is an essential process in smart healthcare. Physiological data analysis is performed in fog computing to abridge the excess latency introduced by cloud computing. However, the latency for the emergency health status and overloading in fog environment becomes key challenges for smart healthcare. This paper resolves these problems by presenting a novel tri-fog health architecture for physiological parameter detection. The overall system is built upon thre

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Said, Omar, and Amr Tolba. "Design and Evaluation of Large-Scale IoT-Enabled Healthcare Architecture." Applied Sciences 11, no. 8 (2021): 3623. http://dx.doi.org/10.3390/app11083623.

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Employment of the Internet of Things (IoT) technology in the healthcare field can contribute to recruiting heterogeneous medical devices and creating smart cooperation between them. This cooperation leads to an increase in the efficiency of the entire medical system, thus accelerating the diagnosis and curing of patients, in general, and rescuing critical cases in particular. In this paper, a large-scale IoT-enabled healthcare architecture is proposed. To achieve a wide range of communication between healthcare devices, not only are Internet coverage tools utilized but also satellites and high

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Umiatin, U., A. F. Dendi, and Taryudi. "Sharp IR GP2Y0A21 Sensor Calibration for Prototyping Application of Smart Anthropometric System." Journal of Physics: Conference Series 2377, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1742-6596/2377/1/012026.

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An anthropometric tool is a tool used to measure body dimensions. For toddlers, anthropometric measurement is necessary to determine their nutritional status. The main anthropometric parameters in toddlers are weight, height, and head circumference. The development of accurate and user-friendly anthropometric tools is very significant in an effort to modernize the Integrated Healthcare Post (posyandu). This study aims to determine the accuracy of the infrared sensor used to measure the height and head circumference of toddlers. One IR GP2Y0A21 sensor was utilized to measure height, and four IR

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Jayanth Prasad, Nandipalli. "Smart Health Monitoring System with Esp32: Real-Time Data & Cloud Based Reports." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44609.

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This paper presents the design and development of a Smart Health Monitoring System using the ESP32 microcontroller. The system is designed to monitor key health parameters such as heart rate, body temperature, SpO2, and ECG in real-time. Using sensors like the DHT11, LM35, pulse sensor, and ECG sensor, the system collects vital health data, which is then transmitted via Wi-Fi to a cloud platform. The data is stored securely and analyzed for visualization on a user-friendly dashboard. Additionally, the system generates automated medical reports, personalized diet plans, and sends medication rem

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Noor Afiza Mohd Ariffin and Vanitha Paliah. "An Improved Secure Authentication in Lightweight IoT." Journal of Advanced Research in Applied Sciences and Engineering Technology 31, no. 3 (2023): 191–207. http://dx.doi.org/10.37934/araset.31.3.191207.

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Internet of Things (IoT) has been widely accepted by users and with rapid development of cloud computing, users are able to access the IoT services in various environment, including smart home, healthcare and smart factory. However, users are insecure as their data is being transmitted via open communication channel. The previous research protocol does not resist insider attack which leads to insecure scheme. In this proposal, we propose an enhanced security measurement to resist insider attack. The proposed scheme expected to achieve security requirements and resist insider attack. The propos

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Mayani, Megharani B. "Blockchain Technology: Revolutionizing Data Security and Decentralized Applications." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–6. https://doi.org/10.55041/isjem00116.

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Blockchain technology, initially introduced as the underlying infrastructure for cryptocurrencies like Bitcoin, has become a powerful tool with far-reaching applications across various sectors, including finance, supply chain, healthcare, and government. This paper explores the fundamental principles of blockchain technology, including its architecture, consensus mechanisms, and cryptographic foundations. We highlight its decentralized nature and explore its significant applications, especially in secure transactions, smart contracts, and immutable data storage. Despite its transformative pote

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Eloutouate, Lamiae, Hicham Gibet Tani, Fatiha Elouaai, Mohammed Bouhorma, and Mohamed Walid Hajoub. "Image Captioning for Medical Surveillance in Smart Home Environments Using Vision Transformers." International Journal of Online and Biomedical Engineering (iJOE) 21, no. 05 (2025): 113–26. https://doi.org/10.3991/ijoe.v21i05.54331.

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Medical surveillance in smart homes represents a transformative approach to patient care by utilizing advancements in computer vision to monitor and analyze patient behavior continuously. This study builds upon previous research by fine-tuning vision transformer (ViT) neural networks with a curated dataset that includes diverse scenarios of patients in both normal and abnormal conditions. The proposed model generates descriptive captions from surveillance camera images, effectively capturing contextual information and identifying potential medical indicators. These insights are integrated into

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Ali, Shokat, Ravi Pratap Singh, Mohd Javaid, et al. "A Review of the Role of Smart Wireless Medical Sensor Network in COVID-19." Journal of Industrial Integration and Management 05, no. 04 (2020): 413–25. http://dx.doi.org/10.1142/s2424862220300069.

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The new global predicament situation has raised questions on our healthcare systems and its endurance to deliver quality medical services. It is for those tormented with COVID-19 and other patients suffering from other chronic, acute, trauma, and other communicable diseases while shielding the doctors, nurses, and other associated medical employees when treating the patients. The immense adaptation to sensors networks demonstrates its usefulness as a tool for the present so-called social distancing in the clinical monitoring of COVID-19 patients or other settings. The utilization of Wireless M

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Hemdan, Ezz El-Din, and Amged Sayed. "Smart and Secure Healthcare with Digital Twins: A Deep Dive into Blockchain, Federated Learning, and Future Innovations." Algorithms 18, no. 7 (2025): 401. https://doi.org/10.3390/a18070401.

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In recent years, cutting-edge technologies, such as artificial intelligence (AI), blockchain, and digital twin (DT), have revolutionized the healthcare sector by enhancing public health and treatment quality through precise diagnosis, preventive measures, and real-time care capabilities. Despite these advancements, the massive amount of generated biomedical data puts substantial challenges associated with information security, privacy, and scalability. Applying blockchain in healthcare-based digital twins ensures data integrity, immutability, consistency, and security, making it a critical com

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Packialatha, A., and Preetha P. "IoT-Enabled Smart Healthcare System for Heart Disease Prediction Using Deep Learning and Dimensionality Reduction." Journal of Neonatal Surgery 14, no. 6S (2025): 743–56. https://doi.org/10.52783/jns.v14.2325.

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Accurate predictive diagnostic systems have become essential because heart disease conditions are rising in frequency. Healthcare advancements led to broader patient data inclusion in medical databases that enhances heart disease diagnosis effectiveness. The current databases for ischemic heart disease struggle with four major problems involving both feature selection difficulties and insufficient sample sizes along with distribution imbalances and missing data points. The authors present a smart healthcare system powered by IoT with deep learning and dimensionality reduction methods to achiev

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Maddeh, Mohamed, Fahima Hajjej, Malik Bader Alazzam, Shaha Al Otaibi, Nazek Al Turki, and Sarra Ayouni. "Spatio-Temporal Cluster Mapping System in Smart Beds for Patient Monitoring." Sensors 23, no. 10 (2023): 4614. http://dx.doi.org/10.3390/s23104614.

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Innovative technological solutions are required to improve patients’ quality of life and deliver suitable treatment. Healthcare workers may be able to watch patients from a distance using the Internet of Things (IoT) by using big data algorithms to analyze instrument outputs. Therefore, it is essential to gather information on use and health problems in order to improve the remedies. To ensure seamless incorporation for use in healthcare institutions, senior communities, or private homes, these technological tools must first and foremost be easy to use and implement. We provide a network clust

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Kaushal, Rajesh Kumar, Rajat Bhardwaj, Naveen Kumar, et al. "Using Mobile Computing to Provide a Smart and Secure Internet of Things (IoT) Framework for Medical Applications." Wireless Communications and Mobile Computing 2022 (October 6, 2022): 1–13. http://dx.doi.org/10.1155/2022/8741357.

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Mobile computing and technology are becoming more common in many parts of private life and public services, and they are playing an increasingly important role in healthcare, not just for sensory devices but also for communication, recording, and display. They are used for more than only sensory devices but also for communications, recording, and display. Numerous medical indications and postoperative days must be monitored carefully. As a result, the most recent development in Internet of Things- (IoT-) based healthcare communication has been embraced. The Internet of Things (IoT), which is e

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