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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6961062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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