Biopotential Signal Monitoring Systems in Rehabilitation: A Review
Monitoring physical activity in medical and clinical rehabilitation, in sports environments or as a wellness indicator is helpful to measure, analyze and evaluate physiological parameters involving the correct subject’s movements. Thanks to integrated circuit (IC) technologies, wearable sensors and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/21/7172 |
| _version_ | 1797511797023965184 |
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| author | Arrigo Palumbo Patrizia Vizza Barbara Calabrese Nicola Ielpo |
| author_facet | Arrigo Palumbo Patrizia Vizza Barbara Calabrese Nicola Ielpo |
| author_sort | Arrigo Palumbo |
| collection | DOAJ |
| description | Monitoring physical activity in medical and clinical rehabilitation, in sports environments or as a wellness indicator is helpful to measure, analyze and evaluate physiological parameters involving the correct subject’s movements. Thanks to integrated circuit (IC) technologies, wearable sensors and portable devices have expanded rapidly in monitoring physical activities in sports and tele-rehabilitation. Therefore, sensors and signal acquisition devices became essential in the tele-rehabilitation path to obtain accurate and reliable information by analyzing the acquired physiological signals. In this context, this paper provides a state-of-the-art review of the recent advances in electroencephalogram (EEG), electrocardiogram (ECG) and electromyogram (EMG) signal monitoring systems and sensors that are relevant to the field of tele-rehabilitation and health monitoring. Mostly, we focused our contribution in EMG signals to highlight its importance in rehabilitation context applications. This review focuses on analyzing the implementation of sensors and biomedical applications both in literature than in commerce. Moreover, a final review discussion about the analyzed solutions is also reported at the end of this paper to highlight the advantages of physiological monitoring systems in rehabilitation and individuate future advancements in this direction. The main contributions of this paper are (i) the presentation of interesting works in the biomedical area, mainly focusing on sensors and systems for physical rehabilitation and health monitoring between 2016 and up-to-date, and (ii) the indication of the main types of commercial sensors currently being used for biomedical applications. |
| first_indexed | 2024-03-10T05:53:08Z |
| format | Article |
| id | doaj.art-a2b3fa9a05cf4ccca8dda71a323ed987 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:53:08Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a2b3fa9a05cf4ccca8dda71a323ed9872023-11-22T21:37:38ZengMDPI AGSensors1424-82202021-10-012121717210.3390/s21217172Biopotential Signal Monitoring Systems in Rehabilitation: A ReviewArrigo Palumbo0Patrizia Vizza1Barbara Calabrese2Nicola Ielpo3Department of Medical and Surgical Sciences, Magna Græcia University, 88100 Catanzaro, ItalyMater Domini University Hospital, 88100 Catanzaro, ItalyDepartment of Medical and Surgical Sciences, Magna Græcia University, 88100 Catanzaro, ItalyDepartment of Medical and Surgical Sciences, Magna Græcia University, 88100 Catanzaro, ItalyMonitoring physical activity in medical and clinical rehabilitation, in sports environments or as a wellness indicator is helpful to measure, analyze and evaluate physiological parameters involving the correct subject’s movements. Thanks to integrated circuit (IC) technologies, wearable sensors and portable devices have expanded rapidly in monitoring physical activities in sports and tele-rehabilitation. Therefore, sensors and signal acquisition devices became essential in the tele-rehabilitation path to obtain accurate and reliable information by analyzing the acquired physiological signals. In this context, this paper provides a state-of-the-art review of the recent advances in electroencephalogram (EEG), electrocardiogram (ECG) and electromyogram (EMG) signal monitoring systems and sensors that are relevant to the field of tele-rehabilitation and health monitoring. Mostly, we focused our contribution in EMG signals to highlight its importance in rehabilitation context applications. This review focuses on analyzing the implementation of sensors and biomedical applications both in literature than in commerce. Moreover, a final review discussion about the analyzed solutions is also reported at the end of this paper to highlight the advantages of physiological monitoring systems in rehabilitation and individuate future advancements in this direction. The main contributions of this paper are (i) the presentation of interesting works in the biomedical area, mainly focusing on sensors and systems for physical rehabilitation and health monitoring between 2016 and up-to-date, and (ii) the indication of the main types of commercial sensors currently being used for biomedical applications.https://www.mdpi.com/1424-8220/21/21/7172biomedical signalmonitoring systemrehabilitationsignal processing |
| spellingShingle | Arrigo Palumbo Patrizia Vizza Barbara Calabrese Nicola Ielpo Biopotential Signal Monitoring Systems in Rehabilitation: A Review Sensors biomedical signal monitoring system rehabilitation signal processing |
| title | Biopotential Signal Monitoring Systems in Rehabilitation: A Review |
| title_full | Biopotential Signal Monitoring Systems in Rehabilitation: A Review |
| title_fullStr | Biopotential Signal Monitoring Systems in Rehabilitation: A Review |
| title_full_unstemmed | Biopotential Signal Monitoring Systems in Rehabilitation: A Review |
| title_short | Biopotential Signal Monitoring Systems in Rehabilitation: A Review |
| title_sort | biopotential signal monitoring systems in rehabilitation a review |
| topic | biomedical signal monitoring system rehabilitation signal processing |
| url | https://www.mdpi.com/1424-8220/21/21/7172 |
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