Conformal phase-transition hydrogel interfaces for high fidelity electrophysiological sensing and data-driven inference
Soft Matter, vol. 22, pp. 4134–4150
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.
Authors 6
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Affiliation as printed
Center for Mechanics Plus under Extreme Environments, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China
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Affiliation as printed
Faculty of Georesources and Materials Engineering, RWTH Aachen University, Aachen 52062, Germany
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Affiliation as printed
Center for Mechanics Plus under Extreme Environments, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China
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Affiliation as printed
Department of Industrial Engineering, University of Trento, Trento, 38123, Italy
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Affiliation as printed
Center for Mechanics Plus under Extreme Environments, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China
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Affiliation as printed
Center for Mechanics Plus under Extreme Environments, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China
Key Laboratory of Impact and Safety Engineering, Ministry of Education, Ningbo University, Ningbo 315211, Zhejiang, China
Shaoxing Yuanju Technology Co., Ltd, Shaoxing 311816, Zhejiang, China
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