Wearable Multimodal Sensing System for Synchronously Health-Environmental Monitoring via Hybrid Neuroevolutionary Signal Decoupling.

Abstract

Wearable sensors are advancing personalized healthcare and environmental safety, yet integrating multimodal sensing remains challenging due to material incompatibility, cross-sensitivity, and environmental interference. To address this gap, we present a monolithic wristband-integrated multimodal sensing platform for simultaneous environmental and physiological monitoring. The system integrates sensors for NO₂, UV irradiance, epidermal temperature, and human pulse signals. A TiO₂/WS₂ heterojunction-based resistive transduction matrix, as the core sensing material, achieves room-temperature NO₂ detection (theoretical limit of detection of 14.4 ppb) with 12-month stability, UV intensity measurement (0.024-1.68 mW/cm²), epidermal temperature monitoring (25-50 °C, sensitivity of 0.22%/°C), and arterial pulse waveform analysis (P-T-D peak resolution). A hybrid neuroevolutionary algorithm (GA-BP) decouples photo-gas interference, reducing quantification errors to <3.5%. Flexible electronics and selective encapsulation (PDMS, PET shielding) ensure mechanical durability and accurate signal acquisition. The platform demonstrates multifunctional capabilities that enable point-of-care health and environmental monitoring, bridging personalized diagnostics with exposure assessment.