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Tremoroton, a new free online platform for tremor analysis

OBJECTIVE: The electrophysiological classification of tremors can be a key element in the diagnosis and can facilitate treatment of a patient with tremor; however, the ability to conduct electrophysiological studies of tremor is not widely available. The purpose of this study was to develop and vali...

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Autores principales: Vial, Felipe, McGurrin, Patrick, Osterholt, Thomas, Ehrlich, Debra, Haubenberger, Dietrich, Hallett, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961062/
https://www.ncbi.nlm.nih.gov/pubmed/31956739
http://dx.doi.org/10.1016/j.cnp.2019.11.004
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author Vial, Felipe
McGurrin, Patrick
Osterholt, Thomas
Ehrlich, Debra
Haubenberger, Dietrich
Hallett, Mark
author_facet Vial, Felipe
McGurrin, Patrick
Osterholt, Thomas
Ehrlich, Debra
Haubenberger, Dietrich
Hallett, Mark
author_sort Vial, Felipe
collection PubMed
description OBJECTIVE: The electrophysiological classification of tremors can be a key element in the diagnosis and can facilitate treatment of a patient with tremor; however, the ability to conduct electrophysiological studies of tremor is not widely available. The purpose of this study was to develop and validate a free online platform for tremor analysis. METHODS: An online platform for tremor analysis was developed using “R” language; called “Tremoroton”. For validation, we compared the frequency estimation of the tremor obtained with Tremoroton compared with a commercially available software in a cohort of 20 patients (10 with essential tremor and 10 with Parkinson diagnosis), comparing the activity recorded on the accelerometer, extensor carpi radialis and flexor carpi radialis EMG. An intraclass correlation coefficient was used for the comparison. RESULTS: The final version of tremoroton is now online. It allows reading up to 6 channels, and will do time, frequency, time-frequency analysis and calculate coherence. We demonstrated a high correlation in frequency measurements (0.97 (0.945–0.984, 95% IC) for the accelerometers, 0.98 (0.977–0.994, 95% IC) for the extensor carpi radialis EMG, and 0.99 (0.987–0.997, 95% IC) for the flexor carpi radialis EMG) when compared to a commercial software. CONCLUSION: We were able to develop and validate a free online platform for tremor analysis. SIGNIFICANCE: Making this tool available should help expanding tremor analysis techniques from research to the clinical setting.
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spelling pubmed-69610622020-01-17 Tremoroton, a new free online platform for tremor analysis Vial, Felipe McGurrin, Patrick Osterholt, Thomas Ehrlich, Debra Haubenberger, Dietrich Hallett, Mark Clin Neurophysiol Pract Clinical and Research Article OBJECTIVE: The electrophysiological classification of tremors can be a key element in the diagnosis and can facilitate treatment of a patient with tremor; however, the ability to conduct electrophysiological studies of tremor is not widely available. The purpose of this study was to develop and validate a free online platform for tremor analysis. METHODS: An online platform for tremor analysis was developed using “R” language; called “Tremoroton”. For validation, we compared the frequency estimation of the tremor obtained with Tremoroton compared with a commercially available software in a cohort of 20 patients (10 with essential tremor and 10 with Parkinson diagnosis), comparing the activity recorded on the accelerometer, extensor carpi radialis and flexor carpi radialis EMG. An intraclass correlation coefficient was used for the comparison. RESULTS: The final version of tremoroton is now online. It allows reading up to 6 channels, and will do time, frequency, time-frequency analysis and calculate coherence. We demonstrated a high correlation in frequency measurements (0.97 (0.945–0.984, 95% IC) for the accelerometers, 0.98 (0.977–0.994, 95% IC) for the extensor carpi radialis EMG, and 0.99 (0.987–0.997, 95% IC) for the flexor carpi radialis EMG) when compared to a commercial software. CONCLUSION: We were able to develop and validate a free online platform for tremor analysis. SIGNIFICANCE: Making this tool available should help expanding tremor analysis techniques from research to the clinical setting. Elsevier 2019-12-23 /pmc/articles/PMC6961062/ /pubmed/31956739 http://dx.doi.org/10.1016/j.cnp.2019.11.004 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Clinical and Research Article
Vial, Felipe
McGurrin, Patrick
Osterholt, Thomas
Ehrlich, Debra
Haubenberger, Dietrich
Hallett, Mark
Tremoroton, a new free online platform for tremor analysis
title Tremoroton, a new free online platform for tremor analysis
title_full Tremoroton, a new free online platform for tremor analysis
title_fullStr Tremoroton, a new free online platform for tremor analysis
title_full_unstemmed Tremoroton, a new free online platform for tremor analysis
title_short Tremoroton, a new free online platform for tremor analysis
title_sort tremoroton, a new free online platform for tremor analysis
topic Clinical and Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961062/
https://www.ncbi.nlm.nih.gov/pubmed/31956739
http://dx.doi.org/10.1016/j.cnp.2019.11.004
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