Abstract: Electrocardiogram (ECG) and Photoplethysmogram (PPG) are tools that provide information about the cardiovascular system. The purpose of this study is to determine whether the ECG graph can be generated through the PPG data processing method. For this reason, a comparison is made between the feature value of normal ECG and the results of PPG signal processing. In this study, PPG signal processed is raw data measured with an easy pulse sensor on 25 normal subjects with the main method used is the second derivative of the PPG signal (SDPPG). There are 8 features used in this study (PR interval, P wave interval, QRS complex, RR interval, R wave amplitude, QT interval, T wave amplitude, and P wave amplitude) with comparison results between valid and invalid respectively is (15:10), (21:4), (0:25), (25:0), (25:0), (0:25), (25:0) and (25:0).These results indicate that the ECG graph can be generated through PPG signal processing provided that the features used are: P-wave interval, RR Interval, R-wave amplitude, T-wave amplitude, and P-wave amplitude.
Keywords: ECG, PPG, Signal Processing, SDPPG, ECG Feature
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