Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial
| Autor: | Zen Juen Lau, Dominique Makowski, Tam Pham, Annabel Shen-Hsing Chen |
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| Přispěvatelé: | School of Social Sciences, Lee Kong Chian School of Medicine (LKCMedicine), National Institute of Education, Centre for Research and Development in Learning (CRADLE) |
| Rok vydání: | 2021 |
| Předmět: |
Standardization
Research areas HRV Heart Rate Variability biosignals TP1-1185 Review psychology Biochemistry 050105 experimental psychology Analytical Chemistry Electrocardiography 03 medical and health sciences 0302 clinical medicine Heart Rate Psychology [Social sciences] Heart rate variability 0501 psychology and cognitive sciences Electrical and Electronic Engineering Instrumentation ECG Chemical technology 05 social sciences Reproducibility of Results NeuroKit2 Atomic and Molecular Physics and Optics Electrocardiogram Psychophysiology Psychology respiration 030217 neurology & neurosurgery Cognitive psychology |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 21, Iss 3998, p 3998 (2021) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21123998 |
| Popis: | 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. Published version |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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