ANALYSIS & COMPARISION OF BIOMEDICAL SIGNALS

Abstract

Monitoring of the fetal heart rate during pregnancy and labor gives experienced clinicians information about the physiological condition of the fetus. The heart rate is calculated from the heartbeat interval and is updated for each heartbeat. Therefore, an accurate and reliable algorithm for R-wave detection is crucial. R-wave detection is constantly improving and therefore it is important for Neoventa to compare the performance of new algorithms to the one currently implemented in fetal monitor STAN S31. The aim of this project is to implement various algorithms and validate their performance using adult and fetal ECG signals. Within the current project, three different published algorithms were implemented, validated and compared to the current algorithm in STAN S31. The result indicate that the heartbeat detection performance in STAN S31 could be improved by replacing the existing algorithms with a non-linear method previously published by Pan and Tompkins.