A method and system for identifying coronary artery disease (CAD) patients using 5 photoplethysmogram (PPG) signal is provided. The method is performed by extracting photoplethysmogram (PPG) signals from a patient, determining PPG peak rate per minute (PPGPPM) from the extracted photoplethysmogram (PPG) signals and extracting of time and frequency domain features from the extracted photoplethysmogram (PPG) signals, selecting most matching mother wavelet using PPGPPM with respect to a particular photoplethysmogram 10 (PPG) signal window, decomposing the PPGPPM signal to extract wavelet features from the extracted photoplethysmogram (PPG) signals, computing the extracted features and selection of the most relevant statistical and entropy related features and classifying coronary artery disease (CAD) patients and non-coronary artery disease (CAD) patients by using the selected most relevant statistical and entropy features.
