Flexible dual-gated synaptic transistor for integrated physiological signal recognition

Abstract

The recent development of numerous smart wearable electronics has accelerated progress in human–machine interaction and health monitoring technologies. However, processing the abundant motion and physiological signals collected by wearable devices on conventional off-site digital computers often results in significant latency and high energy consumption. Here, we introduce a flexible, multisynapse electrolyte-gated oxide transistor (EGOT) based on an indium tin oxide channel for advanced wearable health monitoring. By integrating synaptic functionalities, the EGOT effectively processes electrocardiogram (ECG) and respiration signals. This unprecedented modulation precision in conductance states, enabled by the dual-gate architecture, achieves high-efficiency signal integration effects. The device adapts to input pulses of varying frequency, amplitude, and duration, enabling sophisticated signal differentiation and dynamic health evaluation. The flexible EGOT device, with integrated ECG and breathing on-demand signal analysis, has achieved over 90% accuracy in physiological signal classification. This device holds vast promise for neuromorphic hardware and functional integration, bridging intelligent diagnostics in healthcare applications.