Real-Time Patient Health Care Monitoring and Conditioning System Implementation Using Raspberry Pi

Abstract

Recent advances in mobile technology and microcontrollers have inspired various designs of Internet of Things - based health care services and devices. Using  the Internet of Things, medical data can be collected and transmitted automatically to doctors through the Bluetooth module and Wi-Fi network from anywhere around the world and feedback can be returned to the patients. In this research project, we developed an Internet of things based health care system for patients with mobile apps and web browsers. Specially, we aim to address the issues regarding the usefulness of the ECG data collected from patients themselves. Algorithms for ECG enhancement, ECG quality evaluation and ECG parameters extraction were implemented in the system. The system was demonstrated by a use case, in which ECG waveforms are  uploaded to the Personal computer and Heart beat count, along with body temperature and acceleration parameters are uploaded to the mobile app using Bluetooth module and web browser using Wi-Fi module and analysis is performed in real time. The system has been proven to be functional, accurate and efficient.