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Analysis of Heart Rate Variability to Predict Patient Age in a Healthy Population
Abstract
OBJECTIVES: To estimate age of healthy subjects by means of the heart rate variability (HRV) parameters thus assessing the potentiality of HRV indexes as a biomarker of age. METHODS: Long-term indexes of HRV in time domain, frequency domain and non-linear parameters were computed on 24-hour recordings in a dataset of 63 healthy subjects (age range 20-76 years old). Then, as interbeat dynamics markedly change with age, showing a reduced HRV in older subjects, we tried to capture age-related influence on HRV by principal component analysis and to predict the subject age by means of a feedforward neural network. RESULTS: The network provides good prediction of patient age, even if a slight overestimation in the younger subjects and a slight underestimation in the older ones were observed. In addition, the important contribution of non-linear indexes to prediction is underlined. CONCLUSIONS: HRV as a predictor of age may lead to the definition of a new biomarker of aging.
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“HRV time-domain metrics from the Empatica device have been validated against ECG in previous studies.58–60”
From Investigating sources of inaccuracy in wearable optical heart rate sensors (2020) · cites this paper as [58]
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Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. (2020) · doi:10.2196/preprints.18126 · Cited by 1
Varga, J., Kardos, K., Nagy, I., Kudász, F., & Szirtes, L. (2021) · Medical Research Archives · doi:10.18103/mra.v9i10.2564
Metadata
- Authors
- Matteucci, M., Mainardi, L., & Corino, V. D.
- Affiliations
- Politecnico di Milano (IT)
- Corresponding author
- Corino, V. D.
- Venue
- Methods of Information in Medicine
- Publisher
- Georg Thieme Verlag KG
- Published
- 2007
- Volume
- 46
- Issue
- 02
- Pages
- 191-195
- ISSN
- 0026-1270 (ISSN-L)
- 2511-705X
- OpenAlex
- W2205563059
- Cited by
- 17
- References
- 0
- Citations by year
- 2023: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 1 · 2012: 3
- FWCI
- 0.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Methods of Information in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- heart rate variability, age prediction, aging biomarkers, healthy volunteers, feedforward neural networks, principal component analysis
- MeSH terms
- Adult, Age Factors, Aged, Aging, Autonomic Nervous System, Circadian Rhythm, Female, Heart Rate, Humans, Male, Middle Aged, Models, Cardiovascular, Population, Signal Processing, Computer-Assisted, Time, Biomarkers, Electrocardiography, Ambulatory, Neural Networks, Computer, Nonlinear Dynamics, Population Groups
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