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Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care

After a stroke, clinicians and patients struggle to determine if and when muscle activity and movement will return. Surface electromyography (EMG) provides a non-invasive window into the nervous system that can be used to monitor muscle activity, but is rarely used in acute care. In this perspective...

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Autores principales: Steele, Katherine M., Papazian, Christina, Feldner, Heather A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538789/
https://www.ncbi.nlm.nih.gov/pubmed/33071953
http://dx.doi.org/10.3389/fneur.2020.576757
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author Steele, Katherine M.
Papazian, Christina
Feldner, Heather A.
author_facet Steele, Katherine M.
Papazian, Christina
Feldner, Heather A.
author_sort Steele, Katherine M.
collection PubMed
description After a stroke, clinicians and patients struggle to determine if and when muscle activity and movement will return. Surface electromyography (EMG) provides a non-invasive window into the nervous system that can be used to monitor muscle activity, but is rarely used in acute care. In this perspective paper, we share our experiences deploying EMG in the clinic to monitor stroke survivors. Our experiences have demonstrated that deploying EMG in acute care is both feasible and useful. We found that current technology can be used to comfortably and non-obtrusively monitor muscle activity, even for patients with no detectable muscle activity by traditional clinical assessments. Monitoring with EMG may help clinicians quantify muscle activity, track recovery, and inform rehabilitation. With further research, we perceive opportunities in using EMG to inform prognosis, enable biofeedback training, and provide metrics necessary for supporting and justifying care. To leverage these opportunities, we have identified important technical challenges and clinical barriers that need to be addressed. Affordable wireless EMG system that can provide high-quality data with comfortable, secure interfaces that can be worn for extended periods are needed. Data from these systems need to be quickly and automatically processed to create round-ready results that can be easily interpreted and used by the clinical team. We believe these challenges can be addressed by integrating and improving current methods and technology. Deploying EMG in the clinic can open new pathways to understanding and improving muscle activity and recovery for individuals with neurologic injury in acute care and beyond.
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spelling pubmed-75387892020-10-15 Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care Steele, Katherine M. Papazian, Christina Feldner, Heather A. Front Neurol Neurology After a stroke, clinicians and patients struggle to determine if and when muscle activity and movement will return. Surface electromyography (EMG) provides a non-invasive window into the nervous system that can be used to monitor muscle activity, but is rarely used in acute care. In this perspective paper, we share our experiences deploying EMG in the clinic to monitor stroke survivors. Our experiences have demonstrated that deploying EMG in acute care is both feasible and useful. We found that current technology can be used to comfortably and non-obtrusively monitor muscle activity, even for patients with no detectable muscle activity by traditional clinical assessments. Monitoring with EMG may help clinicians quantify muscle activity, track recovery, and inform rehabilitation. With further research, we perceive opportunities in using EMG to inform prognosis, enable biofeedback training, and provide metrics necessary for supporting and justifying care. To leverage these opportunities, we have identified important technical challenges and clinical barriers that need to be addressed. Affordable wireless EMG system that can provide high-quality data with comfortable, secure interfaces that can be worn for extended periods are needed. Data from these systems need to be quickly and automatically processed to create round-ready results that can be easily interpreted and used by the clinical team. We believe these challenges can be addressed by integrating and improving current methods and technology. Deploying EMG in the clinic can open new pathways to understanding and improving muscle activity and recovery for individuals with neurologic injury in acute care and beyond. Frontiers Media S.A. 2020-09-23 /pmc/articles/PMC7538789/ /pubmed/33071953 http://dx.doi.org/10.3389/fneur.2020.576757 Text en Copyright © 2020 Steele, Papazian and Feldner. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Steele, Katherine M.
Papazian, Christina
Feldner, Heather A.
Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care
title Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care
title_full Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care
title_fullStr Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care
title_full_unstemmed Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care
title_short Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care
title_sort muscle activity after stroke: perspectives on deploying surface electromyography in acute care
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538789/
https://www.ncbi.nlm.nih.gov/pubmed/33071953
http://dx.doi.org/10.3389/fneur.2020.576757
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