Implementation of an IoT cloud-based elderly care health monitoring dashboard

Abstract

The ageing population, defined as those 65 years and above, has increased steadily over the years due to better life longevity contributed by better health services and quality of life. In Malaysia, at least 15% of the population is projected to be above 65 by 2030, hence increasing the needs for the elderly healthcare to be monitored constantly. Elderly care can be facilitated with technology such as the Internet-of-Things (IoT), where remote monitoring of an elderly's health conditions may be realizable. This paper presents the critical design process and methods used in developing a cloud-based IoT monitoring system dashboard for elderly care. The health parameters monitored are heart rate, body temperature, and SpO2. These parameters would provide the general health condition of the elderly person monitored. In addition, an accelerometer sensor is used for fall prediction. Finally, a real-Time dashboard was developed for centralized data collection, decision making and alerting. The system is scalable to cater increasing needs of adding more health tracking nodes (per registered elderly user) meanwhile enabling real time elderly healthcare cloud based monitoring and emergency alerting for Elderly Healthcare System that can be monitored by family members and healthcare practitioners.