Ambulatory monitoring of tremor and other movements before and after thalamotomy: A new quantitative technique
Abstract
Tremor, e.g. in Parkinson patients, often shows large spontaneous fluctuations in severity over the day, to such an extent that a short observation is usually not sufficient to assess the overall severity or the effect of a treatment. Since momentary impressions of the tremor can thus be misleading, long-term ambulatory recordings would be helpful in the evaluation of severity and treatment effectiveness. As existing methods for long-term tremor registration have several shortcomings, a new method is proposed: an algorithm was designed to discriminate tremor from other movements and to describe the amount (i.e. the proportion of tremor or movements per time unit) as well as the intensity (i.e. average acceleration amplitude) of the two types of movement. In the evaluation of the severity of tremor both the amount and intensity of tremor episodes are of importance. The algorithm was tested on 24-h analog tape recordings of wrist-movement in 10 young and 10 aged controls, as well as in 8 patients with tremor--both before and after a tremor relieving thalamotomy. The algorithm scored movements as 'tremor' exclusively in patients prior to the operation. Fluctuations in tremor severity over the day were detected, and tremor could be discriminated from non-pathological movements. Moreover, following thalamotomy, motor slowing (bradykinesia) was detectable using this algorithm. Based on these test results, a miniaturized device in wrist-watch format is now being developed for long-term registrations.
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Reliable long-term assessment of skin temperature in field studies has recently become as feasible as actigraphic assessments of sleep-wake rhythms has been for many years.
“Since the reliable long-term assessment of skin temperature in field studies has recently become as feasible as actigraphic assessments of sleep–wake rhythms has been for many years [82, 87, 90, 91], it would be of value to assess skin temperature profiles in large cohorts of people with and without sleep complaints.”
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- Authors
- van Someren, E. J. W., van Gool, W. A., Vonk, B. F. M., Mirmiran, M., Speelman, J. D., Bosch, D. A., & Swaab, D. F.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Venue
- Journal of the Neurological Sciences
- Publisher
- Elsevier BV
- Published
- 1993-07
- Volume
- 117
- Issue
- 1-2
- Pages
- 16-23
- ISSN
- 0022-510X (ISSN-L)
- OpenAlex
- W2140213142
- Cited by
- 56
- References
- 14
- Citations by year
- 2024: 1 · 2022: 1 · 2021: 2 · 2018: 4 · 2016: 1 · 2015: 2 · 2013: 5 · 2012: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Neurological Sciences (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Topics
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- tremor, thalamotomy, bradykinesia, Parkinson's disease, wrist kinematics
- MeSH terms
- Adult, Aged, Aged, 80 and over, Algorithms, Ambulatory Care, False Positive Reactions, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Motor Activity, Movement, Postoperative Period, Thalamus, Time Factors, Tremor, Wrist
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