A Smart and Wearable Cardiac Healthcare System with Monitoring of Sudden Fall for Elderly and Post-Operative Patients

Abstract

The dominance of chronic diseases, driven by an increasingly aging population with a new health paradigm that emphasizes early finding, early diagnosis and early treatment, is highly recommended. Especially, Cardiac disorders and sudden falls are the prominent reasons behind hospitalization of the elderly and post-operative patients. In the present work, we have designed and developed a GSM (Global System for Mobile) based wearable smart system with 3-axis accelerometer and three lead ECG recording system. The whole system is wearable for all and can be used as a real-time monitoring, self-diagnosis, and remote- diagnosis tool as it will detect whenever there is an abnormal heart condition and a sudden fall situation. The entire data flow program and evaluation for the system has been done under NI LabVIEW platform. After detecting the health abnormalities the system sends alert notifications to the care giver and health professionals to take compulsory actions. This paper also deals with estimation of ECG parameters as they have significant clinical values in order to detect cardiac disorders. With this developed system, elderly or ill individuals especially senior citizens who live alone or have a disability could stay independently at their home.