Automated Health Monitoring System for the Elderly using Internet of Things

Authors

Keywords:

Health Monitoring System, Internet of Things, Patient Monitorin, Human Activity Recognition

Abstract

Healthcare delivery in recent years has gained massive improvement. Information Technology has been used to improve the way medical practitioners administer healthcare which has further impacted on the lives of the general populace. This study present an automated system in health monitoring of the elderly. Human Activities Recognition (HAR), heart rate, body temperature, stress level and blood pressure sensor dataset has been used in implementation and a mobile software was developed to simulate the activity, health monitoring and response of the medical personnel to the elderly. The HAR dataset contains 77 sensors in subject 1 and 84 sensors in subject 2. The Agile software development methodology was used in the process of development. The mobile software is used to get the readings of the various wearable and home stationary sensors from which the medical personnel can receive notification of the health information and activity of the patient. The MATLAB scientific programming language has been used to analyze and demonstrate the HAR dataset with some unique activity spikes shown on the graphical illustrations. A mobile application was developed to simulate the readings gotten from the wearable sensors and the activity triggers in the home. The R programming language was used to train and test the wearable sensor performance of the artificial neural model. The body sensor data has been evaluated and analyzed and the performance accuracies are thus: for Heart rate, the performance accuracy recorded for training is 70.4% with a misclassification of 29.6% and testing performance accuracy was 57.4% with a misclassification of 42.4%, Body temperature recorded 65.7% with misclassification of 34.3% for training and 66.7% with misclassification of 33.3% for testing. The performance for Stress level in the training was 65.7% with misclassification of 34.3 and 64.1% with misclassification of 35.9% for testing performance and the performance of blood pressure was 73.1% with a misclassification of 26.9% for training and in testing, 70.4% with misclassification of 29.6% was recorded. The mobile application has performed well during simulation, presenting the readings of the smart wearable devices from the patient and the activities of the patient at home.

References

[1]. Andersson, D., & Nilsson, E. “Internet of Things: A Survey about

Knowledge and Thoughts”, Faculty of Computing, Blekinge

Institute of Technology, SE-371 79, Karlskrona, Sweden, 2018.

[2]. Atzori, L., Iera, A., & Morabito, G. “Understanding the Internet

of Things: Definition, Potentials, and Societal Role of a Fast-

Evolving Paradigm”, Ad Hoc Networks, Vol. 56, pp.122-140,

2017.

[3]. Bangal, S. P., Akshay, N., Shubham, S., & Sameer, M.

“Multipurpose Smart Health Care Monitoring System using IoT”,

International Journal of Information and Computing Science, Vol.

6, Issue 5, pp.60-66, 2019.

[4]. Banka, S., Madan, I., & Saranya, S. S. “Smart healthcare

monitoring using IoT”, International Journal of Applied

Engineering Research, Vol. 13, Issue 15, pp.11984-11989, 2018.

[5]. Bokefode, J. D., & Komarasamy, G. “A Remote Patient

Monitoring System: Need, Trends, Challenges and Opportunities”,

International Journal of Scientific & Technology Research, Vol. 8,

Issue 09, pp.830 – 835, 2019.

[6]. Guan, K., Shao, M., & Wu, S. “A Remote Health Monitoring

System for The Elderly Based on Smart Home Gateway”, Journal

of Healthcare Engineering, 2017.

[7]. Hassan, R., Qamar, F., Hasan, M. K., Aman, A. H. M., & Ahmed,

A. S. “Internet of Things and Its Applications: A Comprehensive

Survey”, Symmetry, Vol. 12, Issue 10, pp.1674, 2020.

[8]. Horváth, I. “Connectors of Smart Design and Smart Systems.

Artificial Intelligence for Engineering Design, Analysis and

Manufacturing”, pp.1-19, 2021.

[9]. Iqbal, N., Ahmad, S., & Kim, D. H. “Health Monitoring System

for Elderly Patients Using Intelligent Task Mapping Mechanism

in Closed Loop Healthcare Environment”, Symmetry, Vol. 13,

Issue 2, pp.357, 2021.

[10]. Iranpak, S., Shahbahrami, A., & Shakeri, H. “Remote Patient

Monitoring and classifying Using the Internet of Things Platform

Combined with Cloud Computing”, 2021.

[11]. Islam, M., & Rahaman, A. “Development of Smart Healthcare

Monitoring System in IoT Environment”, SN Computer Science,

Vol. 1, Issue 3, pp.1-11, 2020.

[12]. Karthi, A., Rajendran, R., & Mathiarasan, P. “Smart Health

Surveillance with Automated Database using Android Mobile

Device”, Brazilian Archives of Biology and Technology, pp.60,

2017.

[13]. Lihua, Z., & Qing, L. “Design and Implementation of Remote

Health Monitoring Sensor Network based on the Internet of

Things”, In AASRI International Conference on Industrial

Electronics and Applications (IEA), pp.332-334, 2015.

[14]. Lv, Z., Xia, F., Wu, G., Yao, L., & Chen, Z. “iCare: A Mobile

Health Monitoring System for the Elderly”, In 2010 IEEE/ACM

Int'l Conference on Green Computing and Communications &

Int'l Conference on Cyber, Physical and Social Computing,

pp.699-705, 2010, IEEE.

[15]. Mohith,M., Naresh, E., & Vijaya K. B. P. “Security and Privacy

in Smart Systems”, Alliance International Conference on

Artificial Intelligence and Machine Learning (AICAAM)', pp.90-

99, 2019.

[16]. Ogunbolu, M., & Fadipe, S. “An Enhanced Remote Monitoring

of Patients Heartbeat and Body Temperature Using Internet of

International Journal of Computer Sciences and Engineering Vol.11(6), Jun 2023

© 2023, IJCSE All Rights Reserved 44

Health Things (IoHT)”, Journal of Science, Engineering,

Technology and Management ISSN: 2795-3955, Vol. 3, Issue 01,

pp.1-11, 2021.

[17]. Pascual, D. G., Daponte, P., & Kumar, U. “Handbook of Industry

4.0 and SMART Systems”, CRC Press, 2019.

[18]. Patel, K. K., & Patel, S. M. “Internet of things-IOT: definition,

characteristics, architecture, enabling technologies, application &

future challenges”, International journal of engineering science

and computing, Vol. 6, Issue 5, 2016.

[19]. Ramamoorthy, S. “Personalized Health Monitoring System Using

IOT and Cloud”, International Journal of Computer Science

Trends and Technology (IJCST), pp.5, 2017.

[20]. Rani, S. U., Ignatious, A., Hari, B. V., & Balavishnu, V. J. “IoT

patient health monitoring system”, Indian Journal of Public

Health Research and Development”, Vol. 8, Issue 4, 2017.

[21]. Romero, M., Guédria, W., Panetto, H., & Barafort, B. “Towards a

Characterisation of Smart Systems: A Systematic Literature

Review”, Computers in industry, pp.120, 2020.

[22]. Russo, G., Marsigalia, B., Evangelista, F., Palmaccio, M., &

Maggioni, M. “Exploring Regulations and Scope of the Internet

of Things in Contemporary Companies: A First Literature

Analysis”, Journal of Innovation and Entrepreneurship, Vol. 4,

Issue 1, pp.1-13, 2015.

[23]. Senthamilarasi, C., Rani, J. J., Vidhya, B., & Aritha, H. “A Smart

Patient Health Monitoring System using IoT”, International

Journal of Pure and Applied Mathematics, Vol. 119, Issue 16,

pp.59-70, 2018.

[24]. Seydoux, N., Drira, K., Garzone, G., Hernandez, N., & Monteil, T.

“Making Smart Knowledge from Not-So-Smart Data”, In Smart

Data Systems and Applications, pp.2p, 2017.

[25]. Sritha, P. & Valarmathi R.S. “A Reliable Remote Health

Monitoring System for Elderly People”, International Journal of

Scientific & Technology Research, Vol. 9, Issue 01, pp.1562-

1565, 2020.

[26]. Wang, H., Zhao, Y., Yu, L., Liu, J., Zwetsloot, I. M., Cabrera, J.,

& Tsui, K. L. “A Personalized Health Monitoring System for

Community-Dwelling Elderly People in Hong Kong: Design,

Implementation, and Evaluation Study”, Journal of Medical

Internet Research, Vol. 22, Issue 9, pp.e19223, 2020.

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Published

2023-06-30

How to Cite

[1]
N. Queen Maclean and T. O. Egerton, “Automated Health Monitoring System for the Elderly using Internet of Things”, Int. J. Comp. Sci. Eng., vol. 11, no. 6, pp. 37–44, Jun. 2023.

Issue

Vol. 11 No. 6 (2023): IJCSE June Edition

Section

Research Article

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