Cepstral Analysis for Scoring the Quality of Electrocardiograms for Heart Rate Variability.

ABSTRACT: Mobile-health solutions based on heart rate variability often require electrocardiogram (ECG) recordings by inexperienced operators or real-time automatic analyses of long-term recordings by wearable devices in free-moving individuals. In this context, it is useful to associate a quality index with the ECG, scoring the adequacy of the recording for heart rate variability to identify noise or arrhythmias. Therefore, this work aims to propose and validate a computational method for assessing the adequacy of single-lead ECGs for heart rate variability analysis that may run in real time on wearable systems with low computational power. The method quantifies the ECG pseudo-periodic structure employing cepstral analysis. The cepstrum (spectrum of log-spectrum) is estimated on a running ECG windo

SUBMITTER: Castiglioni P 

PROVIDER: S-EPMC9247307 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature