Pulse rate variability: a new biomarker, not a surrogate for heart rate variability.


Journal

Journal of physiological anthropology
ISSN: 1880-6805
Titre abrégé: J Physiol Anthropol
Pays: England
ID NLM: 101269653

Informations de publication

Date de publication:
18 Aug 2020
Historique:
received: 07 07 2020
accepted: 03 08 2020
entrez: 20 8 2020
pubmed: 20 8 2020
medline: 3 2 2021
Statut: epublish

Résumé

With the popularization of pulse wave signals by the spread of wearable watch devices incorporating photoplethysmography (PPG) sensors, many studies are reporting the accuracy of pulse rate variability (PRV) as a surrogate of heart rate variability (HRV). However, the authors are concerned about their research paradigm based on the assumption that PRV is a biomarker that reflects the same biological properties as HRV. Because PPG pulse wave and ECG R wave both reflect the periodic beating of the heart, pulse rate and heart rate should be equal, but it does not guarantee that the respective variabilities are also the same. The process from ECG R wave to PPG pulse wave involves several transformation steps of physical properties, such as those of electromechanical coupling and conversions from force to volume, volume to pressure, pressure impulse to wave, pressure wave to volume, and volume to light intensity. In fact, there is concreate evidence that shows discrepancy between PRV and HRV, such as that demonstrating the presence of PRV in the absence of HRV, differences in PRV with measurement sites, and differing effects of body posture and exercise between them. Our observations in adult patients with an implanted cardiac pacemaker also indicate that fluctuations in R-R intervals, pulse transit time, and pulse intervals are modulated differently by autonomic functions, respiration, and other factors. The authors suggest that it is more appropriate to recognize PRV as a different biomarker than HRV. Although HRV is a major determinant of PRV, PRV is caused by many other sources of variability, which could contain useful biomedical information that is neither error nor noise.

Identifiants

pubmed: 32811571
doi: 10.1186/s40101-020-00233-x
pii: 10.1186/s40101-020-00233-x
pmc: PMC7437069
doi:

Substances chimiques

Biomarkers 0

Types de publication

Letter

Langues

eng

Sous-ensembles de citation

IM

Pagination

21

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Auteurs

Emi Yuda (E)

Department of Electrical Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan.

Muneichi Shibata (M)

Cardiology, Mackay Base Hospital, Mackay, Australia.

Yuki Ogata (Y)

Makabe Hospital, Higashi Matsushima, Miyagi, Japan.

Norihiro Ueda (N)

Nagoya City University Graduate School of Medical Sciences, Kawasumi 1 Mizuho-cho Mizuho-ku, Nagoya, 467-8602, Japan.

Tomoyuki Yambe (T)

Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Makoto Yoshizawa (M)

Research Division on Advanced Information Technology, Cyberscience Center, Tohoku University, Sendai, Japan.

Junichiro Hayano (J)

Nagoya City University Graduate School of Medical Sciences, Kawasumi 1 Mizuho-cho Mizuho-ku, Nagoya, 467-8602, Japan. hayano@acm.org.

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Classifications MeSH