Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions
Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions
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DOI：
10.1109/tnsre.2022.3140220
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发表时间：
2022-01-01
影响因子：
4.9
通讯作者：
Botter, A.
中科院分区：
文献类型：
--
作者：
Cerone, G. L.;Giangrande, A.;Botter, A.
感觉运动整合是人脑根据外部来源计划运动程序执行的过程。在这种情况下，皮质肌和皮质运动的连贯性分析是常见的方法来调查的机制，肌肉激活的中央控制。这需要同步采集多个生理信号，包括EEG和sEMG。然而，目前的技术大多是有线的，其物理限制了它们在动态和自然环境中的应用。事实上，尽管在用于EEG和高密度表面EMG（HD-sEMG）信号采集的生物医学仪器的开发中做出了许多努力，但是对集成无线系统的需求正在出现。我们在此描述了一种新的完全无线的身体传感器网络的设计和验证，用于EEG和HD-sEMG信号的集成采集。该身体传感器网络由无线生物信号采集模块（称为传感器单元）和一组同步模块组成，该同步模块用作时间锁定记录的通用系统。该系统的特点是同步的准确性和收集的信号的质量。对整个系统进行了深入的表征，并对无线EEG传感器单元与有线基准EEG设备进行了头对头比较。所提出的设备代表了最先进技术的进步，允许整合采集EEG和HD-sEMG信号，用于感觉运动整合的研究。
Sensorimotor integration is the process through which the human brain plans the motor program execution according to external sources. Within this context, corticomuscular and corticokinematic coherence analyses are common methods to investigate the mechanism underlying the central control of muscle activation. This requires the synchronous acquisition of several physiological signals, including EEG and sEMG. Nevertheless, physical constraints of the current, mostly wired, technologies limit their application in dynamic and naturalistic contexts. In fact, although many efforts were made in the development of biomedical instrumentation for EEG and High Density-surface EMG (HD-sEMG) signal acquisition, the need for an integrated wireless system is emerging. We hereby describe the design and validation of a new fully wireless body sensor network for the integrated acquisition of EEG and HD-sEMG signals. This Body Sensor Network is composed of wireless bio-signal acquisition modules, named sensor units, and a set of synchronization modules used as a general-purpose system for time-locked recordings. The system was characterized in terms of accuracy of the synchronization and quality of the collected signals. An in-depth characterization of the entire system and an head-to-head comparison of the wireless EEG sensor unit with a wired benchmark EEG device were performed. The proposed device represents an advancement of the State-of-the-Art technology allowing the integrated acquisition of EEG and HD-sEMG signals for the study of sensorimotor integration.