AUTODETECTION ALGORITHM OF PPG AND ECG PEAKS BASED ON 2 MOVING WINDOWS

In this study, an algorithm autodetection of PPG (Photoplethysmography) and ECG in electrocardiogram is proposed. Many researches have been done for developing a new approach field, using different algorithms ranging from filtering threshold methods, through wavelet to neural networks, others, each which has effectiveness weaknesses. Although their performance general good, but, the main weakness that they are dependent. Threshold-free detection another proposed algorithm, where RR moving interval calculated based on normal maximum minimum heart rate (HR). This advantage ensuring every R-peak contained between edges interval. Thus, it independent, but its weaknesses change according frequency, leads missing some peaks. The peak developed overcome dependent independent algorithms. It threshold-free with double windows. complete implemented MATLAB 7.4. method validated 18 recorded signals. average sensitivity positive predictivity 99.5% 99.6% 99.3% 99.4% respectively.