HRIDaaY: Ballistocardiogram-Based Heart Rate Monitoring Using Fog Computing

Abstract

Ambient Assisted Living (AAL) is becoming a necessity in today s world. It provides care to the elderly patients who are under observation. With the advancements in the technology, the ability of health systems to indulge in the patient s life and remote monitoring has proven useful to prevent catastrophes. Automatic sensing based on sensors and computer vision enabled devices has taken up the field of AAL a notch ahead. Motivated from the aforementioned discussion, in this paper, we propose, a fretwork named as HRIDaaY (an architecture for remote monitoring of the heart rate of a patient) by using a ballistocardiogram sensor and fog computing (FC). We further demonstrate a data compression technique at the fog layer to reduce the bandwidth utilization. Then, a comparison is drawn using alone-Cloud and as fog- cloud combination implementation. Finally, the simulation results demonstrate that HRIDaaY has better accuracy of heart rate monitoring in comparison to the state-of-art schemes.