Abstract On-skin sensors capable of capturing human electrophysiological signals are valuable for a variety of areas, such as wearable health monitoring, prosthesis, human machine interfaces (HMI). Extensive research efforts have been devoted to developing on-skin electrodes and they offer potential advantages over conventional rigid electrodes. However, those approaches usually have limitations as they require sophisticated and costly fabrication processes to produce only a small number of electrodes. Here we report the reduced graphene oxide (rGO) electrodes prepared by simultaneous room temperature reduction and patterning process for scalable fabrication of a large number of on-skin electrodes. Due to the low thickness and adhesive substrate adopted, the rGO electrodes can form conformal contact with skin even during deformation, leading to reduced impedance in skin-electrode interface. The rGO electrodes have been successfully adopted for the measurements of electromyography (EMG), electrooculogram (EOG)and electroencephalogram (EEG) signals with high fidelity. And the implementation of a HMI task is demonstrated through the recognition of five typical human hand grasping gestures via a multi-channel rGO electrode array for the control of a dexterous robotic hand to mimic the gestures. The rGO electrodes presented in this study are promising for practical applications in healthcare and HMI.

中文翻译：

---

用于大面积电生理监测和人机界面的皮肤石墨烯电极

摘要 能够捕捉人体电生理信号的皮肤传感器在可穿戴健康监测、假肢、人机界面 (HMI) 等各个领域都很有价值。广泛的研究工作致力于开发皮肤电极，它们比传统的刚性电极具有潜在的优势。然而，这些方法通常有局限性，因为它们需要复杂且昂贵的制造工艺才能仅生产少量电极。在这里，我们报告了通过同时室温还原和图案化工艺制备的还原氧化石墨烯 (rGO) 电极，用于大量皮肤电极的可扩展制造。由于采用低厚度和粘合基板，rGO电极即使在变形过程中也能与皮肤形成保形接触，导致皮肤-电极界面阻抗降低。rGO 电极已成功用于肌电图 (EMG)、眼电图 (EOG) 和脑电图 (EEG) 信号的高保真测量。并且通过多通道 rGO 电极阵列识别五种典型的人手抓握手势来演示 HMI 任务的实现，以控制灵巧的机器人手来模仿手势。本研究中介绍的 rGO 电极有望用于医疗保健和 HMI 的实际应用。并且通过多通道 rGO 电极阵列识别五种典型的人手抓握手势来演示 HMI 任务的实现，以控制灵巧的机器人手来模仿手势。本研究中介绍的 rGO 电极有望用于医疗保健和 HMI 的实际应用。并且通过多通道 rGO 电极阵列识别五种典型的人手抓握手势来演示 HMI 任务的实现，以控制灵巧的机器人手来模仿手势。本研究中介绍的 rGO 电极有望用于医疗保健和 HMI 的实际应用。