An open source cloud based platform for elderly health monitoring and fall detection
Ala' Fathi Khalifeh, Adham Saleh, Mahmoud AL-Nuimat, Dhiah el Diehn I. Abou-Tair · 2016
The aim of this paper is to design and implement an open source e-health monitoring and fall detection system to monitor senior patients. The architecture of the system is based on a set of medical sensors and a microcontroller that communicates with a cloud. The sensors' data are collected and processed using a microcontroller, then, the data will be stored on a cloud to form a permanent record, as well as, to facilitate the diagnosis and the real-time monitoring for doctors, which plays a vital role in the patients' rehabilitation and healing process. To fulfill this, a web interface is created that gives doctors the authority to access all patients' medical records and monitor their health statuses. Furthermore, to detect whether the patient will suffer from unpredicted fall, a fall detection system is also considered. The system is composed of a microcontroller, voice recognition module, accelerometer and a gyroscope. By utilizing the information gathered from the previous sensors, a fall can be detected and an alert message can be sent to the medical personnel for immediate help and assistance.