Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies
Recently, there has been an evolution toward a science-supported medicine, which uses replicable results from comprehensive studies to assist clinical decision-making. Reliable techniques are required to improve the consistency and replicability of studies assessing the effectiveness of clinical gui...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/2079-9292/12/7/1520 |
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author | Muhammad Al-Ayyad Hamza Abu Owida Roberto De Fazio Bassam Al-Naami Paolo Visconti |
author_facet | Muhammad Al-Ayyad Hamza Abu Owida Roberto De Fazio Bassam Al-Naami Paolo Visconti |
author_sort | Muhammad Al-Ayyad |
collection | DOAJ |
description | Recently, there has been an evolution toward a science-supported medicine, which uses replicable results from comprehensive studies to assist clinical decision-making. Reliable techniques are required to improve the consistency and replicability of studies assessing the effectiveness of clinical guidelines, mostly in muscular and therapeutic healthcare. In scientific research, surface electromyography (sEMG) is prevalent but underutilized as a valuable tool for physical medicine and rehabilitation. Other electrophysiological signals (e.g., from electrocardiogram (ECG), electroencephalogram (EEG), and needle EMG) are regularly monitored by medical specialists; nevertheless, the sEMG technique has not yet been effectively implemented in practical medical settings. However, sEMG has considerable clinical promise in evaluating muscle condition and operation; nevertheless, precise data extraction requires the definition of the procedures for tracking and interpreting sEMG and understanding the fundamental biophysics. This review is centered around the application of sEMG in rehabilitation and health monitoring systems, evaluating their technical specifications, including wearability. At first, this study examines methods and systems for tele-rehabilitation applications (i.e., neuromuscular, post-stroke, and sports) based on detecting EMG signals. Then, the fundamentals of EMG signal processing techniques and architectures commonly used to acquire and elaborate EMG signals are discussed. Afterward, a comprehensive and updated survey of wearable devices for sEMG detection, both reported in the scientific literature and on the market, is provided, mainly applied in rehabilitation training and physiological tracking. Discussions and comparisons about the examined solutions are presented to emphasize how rehabilitation professionals can reap the aid of neurobiological detection systems and identify perspectives in this field. These analyses contribute to identifying the key requirements of the next generation of wearable or portable sEMG devices employed in the healthcare field. |
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issn | 2079-9292 |
language | English |
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publishDate | 2023-03-01 |
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series | Electronics |
spelling | doaj.art-d845f93fd8044054a99c3cc1866d8fa22023-11-17T16:31:47ZengMDPI AGElectronics2079-92922023-03-01127152010.3390/electronics12071520Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition MethodologiesMuhammad Al-Ayyad0Hamza Abu Owida1Roberto De Fazio2Bassam Al-Naami3Paolo Visconti4Department of Medical Engineering, Al-Ahliyya Amman University, Amman 19328, JordanDepartment of Medical Engineering, Al-Ahliyya Amman University, Amman 19328, JordanDepartment of Innovation Engineering, University of Salento, 73100 Lecce, ItalyDepartment of Biomedical Engineering, Faculty of Engineering, The Hashemite University, Zarqa 13133, JordanDepartment of Innovation Engineering, University of Salento, 73100 Lecce, ItalyRecently, there has been an evolution toward a science-supported medicine, which uses replicable results from comprehensive studies to assist clinical decision-making. Reliable techniques are required to improve the consistency and replicability of studies assessing the effectiveness of clinical guidelines, mostly in muscular and therapeutic healthcare. In scientific research, surface electromyography (sEMG) is prevalent but underutilized as a valuable tool for physical medicine and rehabilitation. Other electrophysiological signals (e.g., from electrocardiogram (ECG), electroencephalogram (EEG), and needle EMG) are regularly monitored by medical specialists; nevertheless, the sEMG technique has not yet been effectively implemented in practical medical settings. However, sEMG has considerable clinical promise in evaluating muscle condition and operation; nevertheless, precise data extraction requires the definition of the procedures for tracking and interpreting sEMG and understanding the fundamental biophysics. This review is centered around the application of sEMG in rehabilitation and health monitoring systems, evaluating their technical specifications, including wearability. At first, this study examines methods and systems for tele-rehabilitation applications (i.e., neuromuscular, post-stroke, and sports) based on detecting EMG signals. Then, the fundamentals of EMG signal processing techniques and architectures commonly used to acquire and elaborate EMG signals are discussed. Afterward, a comprehensive and updated survey of wearable devices for sEMG detection, both reported in the scientific literature and on the market, is provided, mainly applied in rehabilitation training and physiological tracking. Discussions and comparisons about the examined solutions are presented to emphasize how rehabilitation professionals can reap the aid of neurobiological detection systems and identify perspectives in this field. These analyses contribute to identifying the key requirements of the next generation of wearable or portable sEMG devices employed in the healthcare field.https://www.mdpi.com/2079-9292/12/7/1520electromyographyEMG instrumentationtele-rehabilitationsignal processing |
spellingShingle | Muhammad Al-Ayyad Hamza Abu Owida Roberto De Fazio Bassam Al-Naami Paolo Visconti Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies Electronics electromyography EMG instrumentation tele-rehabilitation signal processing |
title | Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies |
title_full | Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies |
title_fullStr | Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies |
title_full_unstemmed | Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies |
title_short | Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies |
title_sort | electromyography monitoring systems in rehabilitation a review of clinical applications wearable devices and signal acquisition methodologies |
topic | electromyography EMG instrumentation tele-rehabilitation signal processing |
url | https://www.mdpi.com/2079-9292/12/7/1520 |
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