Human Identification Using One Lead ECG Signal

This paper presents a new method for human identification using one lead ECG signal. First, preprocessing technique is used to perform the denoising. Then, QRS detection, modified HOAC, and DCT are utilized to extract features from preprocessed data. Finally, 1-nn classifier is used to classify the extracted features. The experimental result based on the proposed method shows the good performance in human identification.