High-Throughput Biopotential-Driven Dual-Mode Epidermal Sensors for Ultrastretchable Human-Machine Interfacing Bracelets

Here, an epidermal biopotential driven integrated Electromyogram (EMG)-Forcemyography (FMG) dual-mode sensor (IEFDS) is designed to simultaneously capture these two signals without crosstalk. This sensor utilizes the coupling effect of bimodal signals within a single-layer organohydrogel tailored for skin impedance matching.

Muscle movements generate distinct EMG and FMG signals, which the IEFDS quantifies as potential differences within unique frequency bands, and the designed decoupling algorithm ensures high-fidelity extraction of these signals. Subsequent decoding by artificial intelligence algorithms interprets motion intentions accurately (95.8%). Furthermore, a high-throughput 128-channel sensor array is monolithically integrated onto a continuous organohydrogel film with superior self-adhesive and mechanical properties.