A Discolorable Flexible Synaptic Transistor for Wearable Health Monitoring

Abstract

Multifunctional intelligent wearable electronics, providing integrated physiological signal analysis, storage, and display for real-time and on-site health status diagnosis, have great potential to revolutionize health monitoring technologies. Advanced wearable systems combine isolated digital processor, memory, and display modules for function integration; however, they suffer from compatibility and reliability issues.Here, we introduce a flexible multifunctional electrolyte-gated transistor (EGT) that integrates synaptic learning, memory, and autonomous discoloration functionalities for intelligent wearable application. This device exhibits synergistic light absorption coefficient changes during voltage-gated ion doping that modulate the electrical conductance changes for synaptic function implementation. By adaptively changing color, the EGT can differentiate voltage pulse inputs with different frequency, amplitude, and duration parameters, exhibiting excellent reversibility and reliability. We developed a smart wearable monitoring system that incorporates EGT devices and sensors for respiratory and electrocardiogram signal analysis, providing health warnings through real-time and on-site discoloration. This study represents a significant step toward smart wearable technologies for health management, offering health evaluation through intelligent displays.

Batch Fabrication of Flexible Strain Sensors with High Linearity and Low Hysteresis for Health Monitoring and Motion Detection

“…In recent years, wearable electronics − have attracted widespread interest because of their immense potential in health − and robots − related fields. Among them, strain sensors form an important part with the ability to convert deformation into electrical signals, and therefore could be applied in physiological signal monitoring and motion capturing. − For strain sensors, sensitivity, and sensing range are key parameters for performance evaluation.…”

Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction

“…Furthermore, in practical applications of tactile sensors in the field of AIoT, the processing flow of output signals is complicated, time-consuming, and inefficient . The combination with the optimized machine learning model based on the neuromorphic computing method could shorten the signal processing time and improve the recognition accuracy, which is expected to be deeply integrated with HMI. − Synaptic transistors based on 2D materials feature short ion transport distance, excellent electron transport dynamics, and high mobility, playing as an important role of neuromorphic computing. − The working mechanism is coupling of ion migration and electron–hole pairs generation. , …”