Conformal phase-transition hydrogel interfaces for high fidelity electrophysiological sensing and data-driven inference
Abstract
), and low dehydration (∼13% water loss after 30 days). This combination enables stable, week-long acquisition of high-fidelity sEMG, ECG, and EEG signals. The utility of these signals for data-driven analytics was quantitatively validated through a convolutional neural network, which achieved high accuracy in gesture recognition using the long-term sEMG data. Furthermore, the electrode-skin impedance and EEG signal fidelity remained stable over a seven-day period, outperforming standard conductive paste that typically dries within hours. This work demonstrates how phase-transition-enabled hydrogel electrodes can bridge material design with data-driven physiological analysis, offering a general approach for intelligent wearable bioelectronics.
Fields of Study & Subjects
Advanced Sensor and Energy Harvesting Materials
Neuroscience and Neural Engineering
Emotion and Mood Recognition
Publication details
- Journal / source
- Soft Matter
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 22
- Issue
- 24
- Pages
- 4134–4150
- Publication date
- 1 January 2026
- Language
- EN