Volume 18, No. 6, 2021

Artificial Intelligence Powered Iomt Framework For Monitoring Elderly Health

K.Aruna Anushia , Dr. S. Arumuga Perumal


Real time remote health monitoring is the most promising technology to helping the elderly people in their daily lives. The increase in the elderly population has increased the demand for health care services. Internet of Medical Things (IoMT) and wearable sensors have been adopted for health care services for fast monitoring, prediction, and diagnosis. Nevertheless, there have been difficulties that need to be solved by the use of Artificial Intelligence (AI). This paper intends to design an AI powered- IoMT framework for monitoring elderly people health.Five vital signs include heart rate, respiration rate, blood oxygen saturation, temperature, and blood pressure are collected from the elderly using wearable sensors and the data are transmitted via Wi-Fi and are stored in IoMT cloud. The stored data are preprocessed to refine the collected data. The prediction of normal/abnormal data is made by Wavelet Artificial Neural Network (WANN) and then decision is made whether to send alert to physician /caretaker or not. Performance analysis is carried out to validate the efficiency of the proposed system and compared with well-known methods. Results prove that monitoring of health in the elderly using AI system is a feasible way for remote health monitoring systems.

Pages: 8712-8723

Keywords: health status prediction, vital signs, WANN, IoMT, elderly monitoring system.

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