Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 12; p. 3998
• Main Authors: Pham, Tam, Lau, Zen Juen, Chen, S H Annabel, Makowski, Dominique
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 09.06.2021; MDPI
• Subjects: biosignals; Blood pressure; ECG; Electrocardiography; Heart Rate; HRV; Influence; Nervous system; Physiology; psychology; Psychophysiology; Reproducibility of Results; Respiration; Review; Standard deviation; Standardization; Technology assessment; psychology; NeuroKit2; ECG; biosignals; psychophysiology; respiration; HRV
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s21123998

The use of heart rate variability (HRV) in research has been greatly popularized over the past decades due to the ease and affordability of HRV collection, coupled with its clinical relevance and significant relationships with psychophysiological constructs and psychopathological disorders. Despite the wide use of electrocardiograms (ECG) in research and advancements in sensor technology, the analytical approach and steps applied to obtain HRV measures can be seen as complex. Thus, this poses a challenge to users who may not have the adequate background knowledge to obtain the HRV indices reliably. To maximize the impact of HRV-related research and its reproducibility, parallel advances in users' understanding of the indices and the standardization of analysis pipelines in its utility will be crucial. This paper addresses this gap and aims to provide an overview of the most up-to-date and commonly used HRV indices, as well as common research areas in which these indices have proven to be very useful, particularly in psychology. In addition, we also provide a step-by-step guide on how to perform HRV analysis using an integrative neurophysiological toolkit, NeuroKit2.