Department of Medical and Surgical Sciences, Magna Græcia University, 88100 Catanzaro, Italy.
Mater Domini University Hospital, 88100 Catanzaro, Italy.
Sensors (Basel). 2021 Oct 28;21(21):7172. doi: 10.3390/s21217172.
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.
在医学和临床康复、运动环境或作为健康指标中监测身体活动有助于测量、分析和评估涉及正确运动主体的生理参数。得益于集成电路 (IC) 技术,可穿戴传感器和便携式设备在运动和远程康复中的身体活动监测方面迅速发展。因此,传感器和信号采集设备在远程康复路径中变得至关重要,通过分析所获得的生理信号来获取准确可靠的信息。在这种情况下,本文提供了一个关于脑电图 (EEG)、心电图 (ECG) 和肌电图 (EMG) 信号监测系统和传感器的最新技术综述,这些系统和传感器与远程康复和健康监测领域相关。我们主要关注 EMG 信号的研究进展,以突出其在康复应用中的重要性。本文重点分析了传感器和生物医学应用的实施情况,包括文献和商业两个方面。此外,本文还在最后报告了对分析解决方案的最终讨论,以突出生理监测系统在康复中的优势,并确定该领域未来的发展方向。本文的主要贡献是:(i) 介绍了生物医学领域的相关工作,主要侧重于 2016 年至今用于身体康复和健康监测的传感器和系统;(ii) 指出了当前用于生物医学应用的主要类型的商业传感器。