Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Naval Medical Center of PLA, Department of Aviation Medicine, Naval Military Medical University, Shanghai 200433, China.
Sensors (Basel). 2020 Oct 29;20(21):6146. doi: 10.3390/s20216146.
The quantitative characterization of movement disorders and their related neurophysiological signals is important for the management of Parkinson's disease (PD). The aim of this study is to develop a novel wearable system enabling the simultaneous measurement of both motion and other neurophysiological signals in PD patients. We designed a wearable system that consists of five motion sensors and three electrophysiology sensors to measure the motion signals of the body, electroencephalogram, electrocardiogram, and electromyography, respectively. The data captured by the sensors are transferred wirelessly in real time, and the outcomes are analyzed and uploaded to the cloud-based server automatically. We completed pilot studies to (1) test its validity by comparing outcomes to the commercialized systems, and (2) evaluate the deep brain stimulation (DBS) treatment effects in seven PD patients. Our results showed: (1) the motion and neurophysiological signals measured by this wearable system were strongly correlated with those measured by the commercialized systems ( > 0.94, < 0.001); and (2) by completing the clinical supination and pronation frequency test, the frequency of motion as measured by this system increased when DBS was turned on. The results demonstrated that this multi-sensor wearable system can be utilized to quantitatively characterize and monitor motion and neurophysiological PD.
运动障碍及其相关神经生理信号的定量特征对于帕金森病（PD）的管理非常重要。本研究旨在开发一种新型可穿戴系统，使 PD 患者能够同时测量运动和其他神经生理信号。我们设计了一个可穿戴系统，由五个运动传感器和三个电生理传感器组成，分别用于测量身体运动信号、脑电图、心电图和肌电图。传感器捕获的数据以无线方式实时传输，结果自动进行分析并上传到基于云的服务器。我们完成了试点研究，以（1）通过与商业化系统的结果进行比较来测试其有效性，（2）评估七名 PD 患者的深部脑刺激（DBS）治疗效果。我们的结果表明：（1）该可穿戴系统测量的运动和神经生理信号与商业化系统测量的信号具有很强的相关性（>0.94，<0.001）；（2）通过完成临床旋前和旋后频率测试，当 DBS 开启时，该系统测量的运动频率增加。结果表明，这种多传感器可穿戴系统可用于定量表征和监测 PD 的运动和神经生理变化。
