An ECG-PPG Wearable Device for Real Time Detection of Various Arrhythmic Cardiovascular Diseases

Abstract

Physiological signals ECG and PPG can be used for monitoring and detecting cardiac abnormalities efficiently. In the proposed work, a cost-effective ECG- PPG device has been designed using commercially available off-the-shelf (COTS) components to extract vital physiological signals. Further, those signals are processed to detect arrhythmic abnormalities and estimate Blood Pressure (BP). The accuracy of the ECG signal processing algorithm and BP estimation depends largely upon the accurate detection of the R-peak. The proposed work detects R-peak with the FDR (False Detection Rate) of 1.289%. Estimation of BP is done using Pulse Transit Time (PTT) and Pulse Wave Velocity (PWV) methods. The results indicate the BP estimation with Root Mean Square Error (RMSE) of 13.18% for Systolic Blood Pressure(SBP) and 9.98% for Diastolic Blood Pressure (DBP).