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Updated: Jul 10, 2026

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Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
Published on: July 22, 2022
Body surface potential mapping of the cortico-muscular axis using smart textile electrode arrays
Ruben Ruiz-Mateos Serrano1,2, Charlie Brunt1,2, Xudong Tao1,2
1Institute for Biomedical Innovation, University of Cambridge, Cambridge, UK.
Nature Communications
|July 8, 2026
Summary
A new wearable e-textile system enables simultaneous brain and muscle recordings for advanced diagnostics. This hybrid technology improves electrophysiological mapping, paving the way for better brain-body interfaces.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Wearable Technology
Background:
- Cutaneous electrophysiology is vital for assessing organs like the brain and muscles.
- Current methods lack spatial resolution and face clinical adoption challenges.
- Body surface potential mapping offers improved diagnostic capabilities but requires advanced solutions.
Purpose of the Study:
- To develop a hybrid e-textile electrode array system for simultaneous cortico-muscular axis electrophysiological mapping.
- To overcome limitations of existing electrode systems in performance, wearability, and data analysis.
- To enable non-invasive study of brain-body dynamics for practical applications.
Main Methods:
- Developed a hybrid e-textile electrode array with conducting polymer coatings.
- Utilized a flexible fabrication process for enhanced connectivity and wearability.
- Implemented interpretable machine learning algorithms for data analysis.
Main Results:
- Achieved reliable simultaneous muscle and brain recordings in single-subject experiments.
- Successfully classified grasped object shapes and somatosensory stimuli.
- Demonstrated spatial mapping of reaction times and prediction of muscle activity from cortical signals.
Conclusions:
- The e-textile system provides a wearable, multi-modal platform for electrophysiological mapping.
- This technology advances the non-invasive study of cortico-muscular dynamics.
- It represents a significant step towards practical brain-body interfaces for neurorehabilitation, prosthetics, and human-machine interaction.

