An electron-ion dual-conductive electrode enables wearable monitoring of electromyography signals
Hai Wang, Xiaojia Du, Nan Liu
Abstract
Stable and accurate monitoring of electrophysiological signals is essential for wearable human-computer interaction. However, common gel electrodes have problems such as single ion conductivity, unstable interface impedance, and low detection sensitivity, which limit long-term application in flexible electronics. Preparing dry skin electrodes to obtain stable skin-electrode interface and improve detection sensitivity is a major challenge. Here, long-term wearable monitoring of electromyography (EMG) signals with high accuracy and low motion artifacts has been achieved based on an electron-ion conductive electrode and integrated wearable system. This dual-conductive electrode was fabricated by selective-laser-scanning-induced phase separation technology for high conductivity and stability. The integrated wearable system ensures consistent responsiveness to broadband signals. Combining the acquisition of high-quality wideband EMG signals with multi-feature fusion machine learning collaborative prediction models, long-term, highly sensitive, and reliable electrophysiological signal monitoring has been demonstrated.