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Diagnosis of orthostatic tremor using smartphone accelerometry

BACKGROUND: Primary orthostatic tremor (OT) is a rare movement disorder characterized by a 13–18 Hz leg tremor, which arises when standing and is relieved by walking/sitting. Those affected generally do not fall, but experience fear of falling, lessened by ambulation. Because of its low amplitude, t...

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Autores principales: Calvo, Nicholas E., Ferrara, Joseph M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607557/
https://www.ncbi.nlm.nih.gov/pubmed/34809610
http://dx.doi.org/10.1186/s12883-021-02486-0
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author Calvo, Nicholas E.
Ferrara, Joseph M.
author_facet Calvo, Nicholas E.
Ferrara, Joseph M.
author_sort Calvo, Nicholas E.
collection PubMed
description BACKGROUND: Primary orthostatic tremor (OT) is a rare movement disorder characterized by a 13–18 Hz leg tremor, which arises when standing and is relieved by walking/sitting. Those affected generally do not fall, but experience fear of falling, lessened by ambulation. Because of its low amplitude, the tremor is not readily visible, and diagnosis requires confirmation with surface electromyography (sEMG). Recently, applications using the accelerometer feature of smartphones have been used to detect and quantify tremors, including OT, though the accuracy of smartphone accelerometry (SPA) in diagnosing OT is unknown. METHODS: We completed SPA in consecutive adults (18+ years), who presented to our neurology clinic with either subjective leg shakiness upon standing or unsteadiness when standing that lessened with ambulation, which comprised 59 of 2578 patients. We assessed tremor using the StudyMyTremor application on an iPhone 6 s adhered with tape to the patient’s tibialis anterior. Surface electromyography was completed on the same muscle. The primary outcome of this study was to determine SPA’s sensitivity and specificity in detecting OT compared with surface electromyography. RESULTS: Fifty-nine patients with the following diagnoses were included: OT (6), Parkinson’s disease, Hereditary Spastic Paraplegia, orthostatic hypotension, essential tremor, spinal cerebellar ataxia, sensory ataxia and functional movement disorder. Smartphone accelerometry detected a 13–18 Hz tremor in 5 of 6 patients diagnosed with OT by sEMG with no false positives in other conditions, yielding a sensitivity of 83%, specificity of 100% in the cohort we studied. CONCLUSIONS: Though a larger sample size is desirable, preliminary data suggest that smartphone accelerometry is an alternative to surface electromyography in diagnosing OT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-021-02486-0.
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spelling pubmed-86075572021-11-22 Diagnosis of orthostatic tremor using smartphone accelerometry Calvo, Nicholas E. Ferrara, Joseph M. BMC Neurol Research BACKGROUND: Primary orthostatic tremor (OT) is a rare movement disorder characterized by a 13–18 Hz leg tremor, which arises when standing and is relieved by walking/sitting. Those affected generally do not fall, but experience fear of falling, lessened by ambulation. Because of its low amplitude, the tremor is not readily visible, and diagnosis requires confirmation with surface electromyography (sEMG). Recently, applications using the accelerometer feature of smartphones have been used to detect and quantify tremors, including OT, though the accuracy of smartphone accelerometry (SPA) in diagnosing OT is unknown. METHODS: We completed SPA in consecutive adults (18+ years), who presented to our neurology clinic with either subjective leg shakiness upon standing or unsteadiness when standing that lessened with ambulation, which comprised 59 of 2578 patients. We assessed tremor using the StudyMyTremor application on an iPhone 6 s adhered with tape to the patient’s tibialis anterior. Surface electromyography was completed on the same muscle. The primary outcome of this study was to determine SPA’s sensitivity and specificity in detecting OT compared with surface electromyography. RESULTS: Fifty-nine patients with the following diagnoses were included: OT (6), Parkinson’s disease, Hereditary Spastic Paraplegia, orthostatic hypotension, essential tremor, spinal cerebellar ataxia, sensory ataxia and functional movement disorder. Smartphone accelerometry detected a 13–18 Hz tremor in 5 of 6 patients diagnosed with OT by sEMG with no false positives in other conditions, yielding a sensitivity of 83%, specificity of 100% in the cohort we studied. CONCLUSIONS: Though a larger sample size is desirable, preliminary data suggest that smartphone accelerometry is an alternative to surface electromyography in diagnosing OT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-021-02486-0. BioMed Central 2021-11-22 /pmc/articles/PMC8607557/ /pubmed/34809610 http://dx.doi.org/10.1186/s12883-021-02486-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Calvo, Nicholas E.
Ferrara, Joseph M.
Diagnosis of orthostatic tremor using smartphone accelerometry
title Diagnosis of orthostatic tremor using smartphone accelerometry
title_full Diagnosis of orthostatic tremor using smartphone accelerometry
title_fullStr Diagnosis of orthostatic tremor using smartphone accelerometry
title_full_unstemmed Diagnosis of orthostatic tremor using smartphone accelerometry
title_short Diagnosis of orthostatic tremor using smartphone accelerometry
title_sort diagnosis of orthostatic tremor using smartphone accelerometry
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607557/
https://www.ncbi.nlm.nih.gov/pubmed/34809610
http://dx.doi.org/10.1186/s12883-021-02486-0
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