A Photoplethysmography Based Noninvasive Cardiac Activity Monitoring Device Offering a Customized Android Application

This paper presents a human machine interface (HMI) system to monitor and analyze heart issues and physiological activities by extracting and processing photoplethysmography (PPG) signal from a pulse sensor. This noninvasive framework estimates heart rate in beats per minute (BPM) and heart rate variability (HRV) of the autonomic sinus activity of a human body. The ace promising feature is to introduce a customized android application (app) named Impulse in order to observe the cardiac activities in a consistent manner. The data transformation from the sensor to the android app takes place via a wireless communication protocol (bluetooth interface). This paper documents MATLAB simulations for filtering raw PPG signals. Physiology of PPG, developed PPG extracting device, features, user manual and performance evaluation of the android app and MATLAB simulations are articulated in this paper.