Continuous in-home monitoring of essential tremor
Open accessAbstract
Background Essential tremor (ET) is typically measured in the clinic with subjective tremor rating scales which require the presence of a clinician for scoring and are not appropriate for measuring severity throughout the day. Motion sensors can accurately rate tremor severity during a set of predefined tasks in a laboratory.Methods We evaluated the ability of motion sensors to quantify tremor during unconstrained activities at home. 20 ET subjects wore a wireless sensor continuously for up to 10 h daily on two days and completed hourly standardized tremor assessments involving pre-defined tasks. Mathematical models were used to predict tremor rating scores from the sensor data.Results At home tremor scores from hourly standardized assessments correlated with at home tremor scores estimated during unconstrained activities immediately following the standardized assessments. The hourly standardized assessments did not significantly fluctuate throughout the day, while fluctuations in the continuous assessments tended to follow changes in voluntary activity level. Both types of tremor ratings (standardized and continuous) showed high day-to-day test-retest reliability with intraclass correlation coefficients ranging from 0.67 to 0.90 for continuous ratings and 0.77 to 0.95 for standardized ratings.Conclusions Results demonstrate the feasibility of continuous monitoring of tremor severity at home, which should provide clinicians with a measure of the temporal pattern of tremor in the context of daily life and serve as a useful tool for the evaluation of novel anti-tremor medications in clinical trials.
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Mobile technology could enable more frequent tremor assessments, and wearable technology could provide continuous tremor assessment.
“While mobile technology could enable more frequent tremor assessments, wearable technology could provide continuous tremor assessment (106, 109).”
From Could Wearable and Mobile Technology Improve the Management of Essential Tremor? (2018) · cites this paper as [106]
Several groups have utilized mobile and wearable technology to assess tremor severity in ET without using it for diagnostic purposes, but rather as a tool to monitor the evolution of symptoms over time.
“Several groups have utilized mobile and wearable technology to assess tremor severity in ET without using it for diagnostic purposes [e.g., Ref. (105, 106)] but rather as a tool to monitor the evolution of symptoms over time.”
From Could Wearable and Mobile Technology Improve the Management of Essential Tremor? (2018) · cites this paper as [106]
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- Authors
- Pulliam, C. L., Eichenseer, S. R., Goetz, C. G., Waln, O., Hunter, C. B., Jankovic, J., Vaillancourt, D. E., Giuffrida, J. P., & Heldman, D. A.
- Affiliations
- Great Lakes NeuroTechnologies (United States) (US)
- Rush University Medical Center (US)
- Baylor College of Medicine (US)
- University of Florida (US)
- Corresponding author
- Pulliam, C.L.
- Venue
- Parkinsonism & Related Disorders
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 20
- Issue
- 1
- Pages
- 37-40
- ISSN
- 1353-8020 (ISSN-L)
- PMC
- PMC3946846
- OpenAlex
- W2039477946
- Cited by
- 74
- References
- 20
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 2 · 2022: 10 · 2021: 11 · 2020: 9 · 2019: 4 · 2018: 5 · 2017: 9 · 2016: 5 · 2015: 3 · 2014: 6
- FWCI
- 2.96
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Parkinsonism & Related Disorders (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (2R44AG034708-02A1)
- Topics
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- essential tremor, tremor severity
- MeSH terms
- Aged, Aged, 80 and over, Biomechanical Phenomena, Feasibility Studies, Female, Humans, Male, Middle Aged, Monitoring, Ambulatory, Essential Tremor, Accelerometry
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