Real time feature extraction of ECG signal on android platform

Abstract

Ambulatory cardiac monitoring has become an important scenario nowadays as a standard preventive cardiological procedure for detection of cardiac abnormalities. In the proposed system it is achieved with the Android smart phone. Heart rate variability (HRV) analysis is well known to give information about the autonomic heart rate modulation mechanism. In order to avoid erroneous conclusions, it is of utmost importance that only sinus rhythms are present in the cardiogram. Therefore, preprocessing of the RR interval time series is necessary. This paper presents an advanced automated algorithm to preprocess RR intervals obtained from a normal ECG. Validation of this algorithm was performed on recorded ECG signals by holter recorder and MIT-BIH database. The proposed algorithm therefore restricts the manual data check to the absolute minimum and allows a reliable HRV analysis.