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Biomarker-Informed Machine Learning Model of Cognitive Fatigue from a Heart Rate Response Perspective
Review

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

1
School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore
2
Centre for Research and Development in Learning, Nanyang Technological University, Singapore 637460, Singapore
3
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
4
National Institute of Education, Nanyang Technological University, Singapore 637616, Singapore
*
Author to whom correspondence should be addressed.
HSS 04-19, 48 Nanyang Avenue, Singapore 639818, Singapore.
Academic Editor: Ki H. Chon
Sensors 2021, 21(12), 3998; https://doi.org/10.3390/s21123998
Received: 3 May 2021 / Revised: 4 June 2021 / Accepted: 4 June 2021 / Published: 9 June 2021
(This article belongs to the Special Issue Brain Signals Acquisition and Processing)
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. View Full-Text
Keywords: HRV; ECG; respiration; biosignals; psychophysiology; psychology; NeuroKit2 HRV; ECG; respiration; biosignals; psychophysiology; psychology; NeuroKit2
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MDPI and ACS Style

Pham, T.; Lau, Z.J.; Chen, S.H.A.; Makowski, D. Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial. Sensors 2021, 21, 3998. https://doi.org/10.3390/s21123998

AMA Style

Pham T, Lau ZJ, Chen SHA, Makowski D. Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial. Sensors. 2021; 21(12):3998. https://doi.org/10.3390/s21123998

Chicago/Turabian Style

Pham, Tam, Zen J. Lau, S. H.A. Chen, and Dominique Makowski. 2021. "Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial" Sensors 21, no. 12: 3998. https://doi.org/10.3390/s21123998

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