Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4909-4912. doi: 10.1109/EMBC48229.2022.9871644.
Existing approaches that assess and monitor the severity of Parkinson's Disease (PD) focus on the integration of wearable devices based on inertial sensors (accelerometers, gyroscopes) and electromyographic (EMG) transducers. Nevertheless, some of these sensors are bulky and lack comfortability. This manuscript presents triboelectric nanogenerators (TENGs) as an alternative stretchable sensor solution enabling PD monitoring systems. The prototype has been developed using a triboelectric sensor based on Ecoflex™ and PEDOT:PSS that is placed on the forearm. The movement of the skin above the forearm muscles and tendons correlates with the extension and flexion of fingers and hands. This way, the small gap of 0.5 cm between the polymer layers is displaced, generating voltage due to the triboelectric contact. Signals from preliminary experiments can discriminate different dynamics of emulated tremor and bradykinesia in hands and fingers. A modified version of the TS is integrated with a printed circuit board (PCB) in a single package with signal conditioning and wireless data transmission. The sensor platforms have demonstrated a good sensitivity to PD symptoms like bradykinesia and tremor based on the Unified Parkinson's Disease Rating Scale (MDS:UPDRS).
现有的评估和监测帕金森病 (PD) 严重程度的方法侧重于基于惯性传感器（加速度计、陀螺仪）和肌电图 (EMG) 换能器的可穿戴设备的集成。然而，其中一些传感器体积庞大，缺乏舒适性。本文提出了使用摩擦纳米发电机 (TENG) 作为替代可拉伸传感器解决方案，以实现 PD 监测系统。该原型使用基于 Ecoflex™ 和 PEDOT:PSS 的摩擦电传感器开发，放置在前臂上。前臂肌肉和肌腱上方皮肤的运动与手指和手的伸展和弯曲相关。这样，聚合物层之间的 0.5 厘米小间隙会发生位移，由于摩擦电接触而产生电压。初步实验的信号可以区分模拟震颤和手部和手指运动迟缓的不同动力学。经过修改的 TS 与印刷电路板 (PCB) 集成在一个带有信号调理和无线数据传输的单个封装中。基于统一帕金森病评定量表 (MDS:UPDRS)，传感器平台已经证明对运动迟缓等 PD 症状具有良好的敏感性。
