The study of biology and medicine in a noise environment is an evolving direction in biological data analysis.Among these studies, analysis of electrocardiogram (ECG) signals in a noise environment is a challenging direction inpersonalized medicine.
This paper presents a novel approach to ECG signal filtering and classification. Unlike the traditional techniques which aim at collecting and processing the ECG signals with the patient being still, lying in bed in hospitals, our proposed algorithm
