A Comprehensive Review on Wearable Health Monitoring Systems

This paper presents a comprehensive review of the wearable healthcare monitoring systems proposed by the researchers to date. One of the earliest wearable recorders, named “a silicon locket for ECG monitoring”, was developed at the Indian Institute of Technology, Bombay, in 2003. Thus, the wearable health monitoring systems, started with the acquisition of a single signal/ parameter to the present generation smart and affordable multi-parameter recording/monitoring systems, have evolved manifolds in these two decades. Wearable systems have dramatically changed in terms of size, cost, functionality, and accuracy. The early-day wearable recorders were with limited functionalities against today’s systems, e.g., Apple’s iWatch which comprises abundant health monitoring features like heart rate monitoring, breathing app, accelerometers, smart walking/ activity monitoring, and alerts. Most of the present-day smartphones are not only capable of recording various health features like body temperature, heart rate, photoplethysmograph (PPG) signal, calory consumption, smart activity monitoring, stress measurement, etc. through different apps, but they also help the user to get monitored by a family physician via GSM or even internet of things (IoT). One of the latest, state-of-the-art real-time personal health monitoring systems, Wearable IoT-cloud-based health monitoring system (WISE), is a beautiful amalgamation of body area sensor network (BASN) and IoT framework for ubiquitous health monitoring. The future of wearable health monitoring systems will be far beyond the IoT and BASN.

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Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2016.2570210 ◽

2017 ◽

Vol 64 (3) ◽

pp. 621-628 ◽

Cited By ~ 20

Author(s):

Haik Kalantarian ◽

Costas Sideris ◽

Bobak Mortazavi ◽

Nabil Alshurafa ◽

Majid Sarrafzadeh

Keyword(s):

Low Power ◽

Health Monitoring ◽

Computation Offloading ◽

Monitoring Systems ◽

Dynamic Computation ◽

Health Monitoring Systems ◽

Wearable Health Monitoring Systems

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An Overview of Post-COVID-19 Patient’s Health Monitoring Systems

International Journal for Modern Trends in Science and Technology - RTT2020 ◽

10.46501/ijmtst0710010 ◽

2021 ◽

Vol 7 (10) ◽

pp. 61-67

Author(s):

Chirag Satapathy, Hrishikesh Gokhale, Ali Zoya Syed, Keerti Srivastava and Ruban Nersisson

Keyword(s):

Health Monitoring ◽

Human Life ◽

Vital Role ◽

Health Conditions ◽

Smart Sensors ◽

Monitoring Systems ◽

Comprehensive Review ◽

Global Pandemic ◽

Health Monitoring Systems ◽

Time Basis

COVID-19 is a global pandemic infecting human life. There are many patients who have recovered from this deadly virus and need to be monitored constantly even when they are at home. IoT plays a vital role in health systems that help to monitor patient’s health conditions. These healthcare frameworks consist of smart sensors to keep a track of patient’s vitals on a real-time basis. These systems will help bridge gaps between the patients and doctors during the pandemic situation. In order to make our system competitive against the already existing devices, we prepared a comprehensive review where we extensively studied other products and compared them to find what's best for the patients.

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Fog-Driven Secure Authentication and Key Exchange Scheme for Wearable Health Monitoring System

Security and Communication Networks ◽

10.1155/2021/8368646 ◽

2021 ◽

Vol 2021 ◽

pp. 1-14 ◽

Cited By ~ 1

Author(s):

Tsu-Yang Wu ◽

Lei Yang ◽

Qian Meng ◽

Xinglan Guo ◽

Chien-Ming Chen

Keyword(s):

Health Monitoring ◽

Formal Analysis ◽

Fog Computing ◽

Key Exchange ◽

Monitoring Systems ◽

Health Monitoring Systems ◽

Wearable Health Monitoring Systems ◽

Secure Authentication ◽

Internet Of Things Technology ◽

Smart Wearable

Smart wearable devices, as a popular mobile device, have a broad market. Smart wearable medical devices implemented in wearable health monitoring systems can monitor the data pertaining to a patient’s body and let the patient know their own physical condition. In addition, these data can be stored, analyzed, and processed in the cloud to effectively prevent diseases. As an Internet-of-things technology, fog computing can process, store, and control data around devices in real time. However, the distributed attributes of fog nodes make the monitored body data and medical reports at risk of privacy disclosure. In this paper, we propose a fog-driven secure authentication and key exchange scheme for wearable health monitoring systems. Furthermore, we conduct a formal analysis using the Real-Oracle-Random model, Burrows–Abadi–Needham logic, and ProVerif tools and an informal analysis to perform security verification. Finally, a performance comparison with other related schemes shows that the proposed scheme has the best advantages in terms of security, computing overhead, and communication cost.

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Wearable Health Monitoring Systems: An Overview of Design Research Areas

Annals of Information Systems - mHealth Ecosystems and Social Networks in Healthcare ◽

10.1007/978-3-319-23341-3_2 ◽

2016 ◽

pp. 17-27

Author(s):

Amine Boulemtafes ◽

Nadjib Badache

Keyword(s):

Health Monitoring ◽

Design Research ◽

Monitoring Systems ◽

Research Areas ◽

Health Monitoring Systems ◽

Wearable Health Monitoring Systems

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Provably Secure Crossdomain Multifactor Authentication Protocol for Wearable Health Monitoring Systems

Wireless Communications and Mobile Computing ◽

10.1155/2020/8818704 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13

Author(s):

Hui Zhang ◽

Yuanyuan Qian ◽

Qi Jiang

Keyword(s):

Health Monitoring ◽

Security Analysis ◽

Wearable Devices ◽

Authentication Protocol ◽

Security And Privacy ◽

Monitoring Systems ◽

Multifactor Authentication ◽

Health Monitoring Systems ◽

Wearable Health Monitoring Systems ◽

Provably Secure

Wearable health monitoring systems (WHMSs) have become the most effective and practical solutions to provide users with low-cost, noninvasive, long-term continuous health monitoring. Authentication is one of the key means to ensure physiological information security and privacy. Although numerous authentication protocols have been proposed, few of them cater to crossdomain WHMSs. In this paper, we present an efficient and provably secure crossdomain multifactor authentication protocol for WHMSs. First, we propose a ticket-based authentication model for multidomain WHMSs. Specifically, a mobile device of one domain can request a ticket from the cloud server of another domain with which wearable devices are registered and remotely access the wearable devices with the ticket. Secondly, we propose a crossdomain three-factor authentication scheme based on the above model. Only a doctor who can present all three factors can request a legitimate ticket and use it to access the wearable devices. Finally, a comprehensive security analysis of the proposed scheme is carried out. In particular, we give a provable security analysis in the random oracle model. The comparisons of security and efficiency with the related schemes demonstrate that the proposed scheme is secure and practical.

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