Multiscale entropy: A tool for understanding the complexity of postural control
Open accessAbstract
Clinical disorders often are characterized by a breakdown in dynamical processes that contribute to the control of upright standing. Disruption to a large number of physiological processes operating at different time scales can lead to alterations in postural center of pressure (CoP) fluctuations. Multiscale entropy (MSE) has been used to identify differences in fluctuations of postural CoP time series between groups with and without known physiological impairments at multiple time scales. The purpose of this paper is to: 1) review basic elements and current developments in entropy techniques used to assess physiological complexity; and 2) identify how MSE can provide insights into the complexity of physiological systems operating at multiple time scales that underlie the control of posture. We review and synthesize evidence from the literature providing support for MSE as a valuable tool to evaluate the breakdown in the physiological processes that accompany changes due to aging and disease in postural control. This evidence emerges from observed lower MSE values in individuals with multiple sclerosis, idiopathic scoliosis, and in older individuals with sensory impairments. Finally, we suggest some future applications of MSE that will allow for further insight into how physiological deficits impact the complexity of postural fluctuations; this information may improve the development and evaluation of new therapeutic interventions.
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Compared with other entropy techniques (eg, sample entropy and approximate entropy), the advantage of MSE analysis is that the assessments of complexity at shorter and longer timescales can be analyzed separately.
“Compared with other entropy techniques (eg, sample entropy and approximate entropy), the advantage of MSE analysis is that the assessments of complexity at shorter and longer timescales can be analyzed separately [36].”
From Predicting depressive symptom severity through individuals’ nearby Bluetooth device count data collected by mobile phones: preliminary longitudinal study (2021) · cites this paper as [36]
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- Authors
- Busa, M. A., & van Emmerik, R. E. A.
- Affiliations
- University of Massachusetts Amherst (US)
- Corresponding author
- Busa, Michael A.
- ORCID
- Busa, Michael A.
- Venue
- Journal of Sport and Health Science
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 5
- Issue
- 1
- Pages
- 44-51
- ISSN
- 2213-2961 (ISSN-L)
- 2095-2546
- PMC
- PMC6188573
- OpenAlex
- W2280857076
- Cited by
- 184
- References
- 34
- Citations by year
- 2026: 13 · 2025: 30 · 2024: 25 · 2023: 24 · 2022: 25 · 2021: 17 · 2020: 17 · 2019: 13 · 2018: 12 · 2017: 5 · 2016: 3
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of sport and health science/Journal of Sport and Health Science (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- multiscale entropy, postural control, postural stability, physiological complexity, aging, multiple sclerosis, idiopathic scoliosis, sensory impairment, time-scale analysis, clinical disorders
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