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Skin Conformal Hydrogel Bioelectrodes for High-Fidelity Electrophysiology and Human-Machine Interfaces.
Pritom Chowdhury1, Catherine A Crichton2, Rebekah Finster3
1Department of Biomedical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Advanced Healthcare Materials
|February 26, 2026
Summary
This study introduces a new stretchable hydrogel bioelectrode for high-quality bioelectrical signal capture. These conformable electrodes enable real-time human-computer interaction and detect various physiological signals with excellent accuracy.
Area of Science:
- Biomedical Engineering
- Materials Science
- Neuroscience
Background:
- High-quality signal capture, mechanical conformance, and real-time interactivity are crucial for bioelectric interfaces in electrophysiology.
- Existing bioelectrodes often face limitations in flexibility, reusability, and signal fidelity.
Purpose of the Study:
- To develop a conformable, reusable, and stretchable hydrogel bioelectrode for advanced electrophysiological monitoring and human-computer interaction.
- To characterize the mechanical and electrical properties of the novel hydrogel bioelectrode.
Main Methods:
- Inkjet printing of PEDOT:PSS on a soft polyvinyl alcohol substrate to create a stretchable hydrogel matrix.
- Mechanical testing (modulus, stretchability) and electrochemical impedance spectroscopy to evaluate electrode stability.
- Recording of multiple bioelectrical signals (heart, brain, muscle, ocular, electrodermal, sympathetic skin nerve activity) and assessment of signal-to-noise ratios.
Main Results:
- The hydrogel bioelectrode exhibits a Young's modulus of 100 ± 16 kPa and 660% ± 72% stretchability.
- Stable impedance (<6.4% drift over 72h) and low resistance drift (<15% after 50 strain cycles) were achieved.
- High signal-to-noise ratios (up to 70 dB) were obtained for various bioelectrical signals, including clear detection of brain's alpha activity and sympathetic skin nerve activity during the Valsalva maneuver.
- Successful real-time drone control using oculography signals demonstrated human-computer interaction capabilities.
Conclusions:
- The developed hydrogel bioelectrode offers a promising platform for high-fidelity, conformable, and reusable bioelectrical signal acquisition.
- Its robust mechanical properties and stable electrical performance make it suitable for diverse electrophysiological applications.
- The bioelectrode facilitates advanced applications, including sensitive neural signal detection and intuitive human-computer interfaces.
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