Raspberry-Pi Based Health Monitoring System

Abstract

Healthcare and wellness management is one of the most promising applications of information technology. The telemedical system focuses on the measurement and evaluation of vital parameters, e.g. ECG, heart rate, heart rate variability, pulse oximetry, plethysmography and fall detection. The proposed system presents a personal healthcare system that is both flexible and scalable. Employing embedded wearable low-power sensors, the system measures health parameters dynamically. For wireless transmission, these sensors are connected to a sensor node through IEEE 802.15.4/ZigBee or bluetooth. Raspberry-Pi is used as a sensor node. Because of some advantages and the features of the Raspberry-Pi can be used as a controller not just as sensor node. To assess the physical health of an individual, the system uses heart rate variability analysis in time and frequency domains. Acquired data are first stored, analyze and visualize on a server. Results of the analysis are then automatically sent to mobile devices carried by the individual or appointed healthcare providers or other mobile devices through e-mail. In this way, mobile techniques are used to support remote health monitoring services.