The DOI matches its Crossref record.
Using Portable Transducers to Measure Tremor Severity
Open accessAbstract
Background: Portable motion transducers, suitable for measuring tremor, are now available at a reasonable cost. The use of these transducers requires knowledge of their limitations and data analysis. The purpose of this review is to provide a practical overview and example software for using portable motion transducers in the quantification of tremor. Methods: Medline was searched via PubMed.gov in December 2015 using the Boolean expression ‘‘tremor AND (accelerometer OR accelerometry OR gyroscope OR inertial measurement unit OR digitizing tablet OR transducer).’’ Abstracts of 419 papers dating back to 1964 were reviewed for relevant portable transducers and methods of tremor analysis, and 105 papers written in English were reviewed in detail. Results: Accelerometers, gyroscopes, and digitizing tablets are used most commonly, but few are sold for the purpose of measuring tremor. Consequently, most software for tremor analysis is developed by the user. Wearable transducers are capable of recording tremor continuously, in the absence of a clinician. Tremor amplitude, frequency, and occurrence (percentage of time with tremor) can be computed. Tremor amplitude and occurrence correlate strongly with clinical ratings of tremor severity. Discussion: Transducers provide measurements of tremor amplitude that are objective, precise, and valid, but the precision and accuracy of transducers are mitigated by natural variability in tremor amplitude. This variability is so great that the minimum detectable change in amplitude, exceeding random variability, is comparable for scales and transducers. Research is needed to determine the feasibility of detecting smaller change using averaged data from continuous long-term recordings with wearable transducers. Background: Portable motion transducers, suitable for measuring tremor, are now available at a reasonable cost. The use of these transducers requires knowledge of their limitations and data analysis. The purpose of this review is to provide a practical overview and example software for using portable motion transducers in the quantification of tremor.Methods: Medline was searched via PubMed.gov in December 2015 using the Boolean expression ‘‘tremor AND (accelerometer OR accelerometry OR gyroscope OR inertial measurement unit OR digitizing tablet OR transducer).’’ Abstracts of 419 papers dating back to 1964 were reviewed for relevant portable transducers and methods of tremor analysis, and 105 papers written in English were reviewed in detail.Results: Accelerometers, gyroscopes, and digitizing tablets are used most commonly, but few are sold for the purpose of measuring tremor. Consequently, most software for tremor analysis is developed by the user. Wearable transducers are capable of recording tremor continuously, in the absence of a clinician. Tremor amplitude, frequency, and occurrence (percentage of time with tremor) can be computed. Tremor amplitude and occurrence correlate strongly with clinical ratings of tremor severity.Discussion: Transducers provide measurements of tremor amplitude that are objective, precise, and valid, but the precision and accuracy of transducers are mitigated by natural variability in tremor amplitude. This variability is so great that the minimum detectable change in amplitude, exceeding random variability, is comparable for scales and transducers. Research is needed to determine the feasibility of detecting smaller change using averaged data from continuous long-term recordings with wearable transducers.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The sensors used in this study had a sampling rate of 148.1 samples/sec, sufficient to capture ET frequencies in the range 4-12 Hz.
“Those used in this study had sampling rate of 148.1 samples/sec, sufficient to capture ET frequencies in the range 4–12 Hz [49] [58].”
From Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor (2024) · cites this paper as [58]
Citations
Cited by
Sorted by citations
Kim, H. B., Lee, W. W., Kim, A., Lee, H. J., Park, H. Y., Jeon, H. S., Kim, S. K., Jeon, B., & Park, K. S. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.02.007 · Cited by 124
López-Blanco, R., Velasco, M. A., Méndez-Guerrero, A., Romero, J. P., del Castillo, M. D., Serrano, J. I., Benito-León, J., Bermejo-Pareja, F., & Rocon, E. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.02.015 · Cited by 40
Adapted Feeding Utensils for People With Parkinson's-Related or Essential Tremor
Sabari, J., Stefanov, D. G., Chan, J., Goed, L., & Starr, J. (2019) · American Journal of Occupational Therapy · doi:10.5014/ajot.2019.030759 · Cited by 35
Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor
Ali, S. M., Arjunan, S. P., Peter, J., Perju-Dumbrava, L., Ding, C., Eller, M., Raghav, S., Kempster, P., Motin, M. A., Radcliffe, P. J., et al. (2024) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2023.3329344 · Cited by 22
Metadata
- Authors
- Elble, R. J., & McNames, J.
- Affiliations
- SIU Medicine (US)
- Portland State University (US)
- Corresponding author
- Elble, Rodger J.
- Venue
- Tremor and Other Hyperkinetic Movements
- Publisher
- Ubiquity Press, Ltd.
- Published
- 2016-05-17
- Volume
- 6
- Issue
- 0
- Pages
- 375
- ISSN
- 2160-8288 (ISSN-L)
- OpenAlex
- W4252242733
- Cited by
- 95
- References
- 0
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 10 · 2023: 11 · 2022: 14 · 2021: 7 · 2020: 11 · 2019: 15 · 2018: 6 · 2017: 8 · 2016: 2
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- creativecommons.org/licenses/by/4.0 (vor)
- Locations
- Tremor and Other Hyperkinetic Movements (publishedVersion, cc-by-nc-nd)
- Columbia Academic Commons (Columbia University)
- Funders
- Sage Therapeutics
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Keywords
- tremor quantification, accelerometer, gyroscope, inertial measurement unit, digitizing tablet, wearable sensors, tremor amplitude, tremor frequency, tremor severity, minimal detectable change, Parkinson's disease, essential tremor, clinical rating scales
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review