Ambulatory Quantitative Assessment of Body Position, Bradykinesia, and Hypokinesia in Parkinson's Disease
Abstract
We used ambulatory monitoring to quantify body position, bradykinesia, and hypokinesia simultaneously in 50 patients with Parkinson's disease (PD) and 43 healthy elderly during the diurnal period. Reliable automatic detection of three defined body positions proved possible. As compared with controls, PD patients spent less time upright and more time during the day lying down, which correlated well with the self-reported time spent lying down. PD patients had significantly lower mean values of extremity acceleration and higher mean values of immobility than controls. The objective measures of bradykinesia and hypokinesia showed only a modest or no relation to the semiquantitative subjective Unified Parkinson's Disease Rating Scale (UPDRS) motor scores, which most likely was due to differences between the methods. In contrast to bradykinesia measures, hypokinesia measures showed clear sex differences in both patients and controls. Over time, trunk and arm movements occurred more frequently in women than in men. Our ambulatory monitoring assessment disclosed clinically relevant information about the mobility profile and offers a way to quantify cardinal movement features simultaneously in PD patients throughout the day.
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In Parkinson's disease, wearables were used to detect and quantify cardinal motor symptoms including bradykinesia, tremor, and postural sway.
“In PD, wearables were used to detect and quantify cardinal motor symptoms including bradykinesia [19], tremor [20, 21], and postural sway [22, 23] as well as medication-evoked adverse symptoms such as dyskinesia [24–27] and motor fluctuations [28, 29].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [19]
Acceleration of extremities and immobility measures was effective to discriminate individuals with Parkinson's disease from controls.
“The results showed that acceleration of extremities and immobility measures was effective to discriminate individuals with PD from controls [19].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [19]
In Parkinson's disease, acceleration-based assessment of bradykinesia in free-living settings was described in 1998.
“In PD, acceleration-based assessment of bradykinesia in free-living settings was already described in 1998 [19].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [19]
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- Self-citation
- Self-citation
- Authors
- Dunnewold, R. J. W., Hoff, J. I., van Pelt, H. C. J., Fredrikze, P. Q., Wagemans, E. A. H., & van Hilten, B. J. J.
- Affiliations
- Leiden University Medical Center (NL)
- Venue
- Journal of Clinical Neurophysiology
- Published
- 1998-05
- Volume
- 15
- Issue
- 3
- Pages
- 235-242
- ISSN
- 0736-0258 (ISSN-L)
- OpenAlex
- W2011641708
- Cited by
- 60
- References
- 11
- Citations by year
- 2025: 2 · 2024: 2 · 2022: 4 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 4 · 2015: 1 · 2014: 1 · 2013: 3 · 2012: 3
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Keywords
- Parkinson's disease, bradykinesia, hypokinesia, posture, ambulatory monitoring, accelerometry, immobility, sex differences, Unified Parkinson's Disease Rating Scale, motor symptoms
- MeSH terms
- Adult, Aged, Ambulatory Care, Circadian Rhythm, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Motor Skills, Parkinson Disease, Posture, Reaction Time, Signal Processing, Computer-Assisted, Hypokinesia
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