Geriatric Assistive Device for Remote Health Monitoring using IoT based Caplet System

In this work, an attempt has been made to develop an IoT based caplet system for the elderly persons who suffer from Alzheimer's disease, dementia and chronic illness. The aim of this work is to monitor the elderly persons through a monitoring system which observes the body signals along with the medication time and interval. Physiological parameters like temperature, heart rate and SpO2 are measured with the help of this system. Since the body temperature is a variable parameter for elderly persons, a sudden decrease or increase in the temperature leads to heat stroke and several health issues. Low or high heart rate is the risk factor for the aged persons leading to increase the death rate. Likewise, abnormal SpO2 is correlated with cardiovascular and cerebrovascular degeneration. So, in order to regulate all these three physiological parameters and also tracking the medication, this caplet system has been developed. With the help of various sensors, the signals from the body are taken for processing and analysis. The recorded data is stored in cloud and personalized alerts are produced for each individual. In case of abnormal signals, delay or lack of medication, the system produces an alert to the caretaker with the help of display unit and buzzer. Results indicate that any abnormal physiological activity or due in medication is identified by the system. Thus, this proposed system is found to be effective in terms of vital parameter monitoring along with medication reminder thereby enhancing the geriatric home care.