Fabric-based lamina emergent MXene-based electrode for electrophysiological monitoring

Commercial wearable biosignal sensing technologies encounter challenges associated with irritation or discomfort caused by unwanted objects in direct contact with the skin, which can discourage the widespread adoption of wearable devices. To address this issue, we propose a fabric-based lamina emergent MXene-based electrode, a lightweight and flexible shape-morphing wearable bioelectrode. This work offers an innovative approach to biosignal sensing by harnessing the high electrical conductivity and low skin-to-electrode contact impedance of MXene-based dry electrodes. Its design, inspired by Nesler's pneumatic interference actuator, ensures stable skin-to-electrode contact, enabling robust biosignal detection in diverse situations. Extensive research is conducted on key design parameters, such as the width and number of multiple semicircular legs, the radius of the anchoring frame, and pneumatic pressure, to accommodate a wide range of applications. Furthermore, a real-time wireless electrophysiological monitoring system has been developed, with a signal-to-noise ratio and accuracy comparable to those of commercial bioelectrodes. This work excels in recognizing various hand gestures through a convolutional neural network, ultimately introducing a shape-morphing electrode that provides reliable, high-performance biosignal sensing for dynamic users.

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Publication Details

Journal
Nature Communications
Published
2024-10-02
DOI
https://doi.org/10.1038/s41467-024-49939-x
Citations
45
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
8.30

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article

Fabric-based lamina emergent MXene-based electrode for electrophysiological monitoring

Janghwan Jekal, Taeyoon Lee, Young Jin Choi, Saehyuck Oh et al.
45 citations
Nature Communications
Advanced Sensor and Energy Harvesting Materials
8.30
article

Fabric-based lamina emergent MXene-based electrode for electrophysiological monitoring

Janghwan Jekal, Taeyoon Lee, Young Jin Choi, Saehyuck Oh, Dong Hae Ho, Jeong Ho Cho, Kyung‐In Jang, Soo Young Cho, Sanghyun Lee, Yoon Young Choi
article en
45 citations

Abstract

Commercial wearable biosignal sensing technologies encounter challenges associated with irritation or discomfort caused by unwanted objects in direct contact with the skin, which can discourage the widespread adoption of wearable devices. To address this issue, we propose a fabric-based lamina emergent MXene-based electrode, a lightweight and flexible shape-morphing wearable bioelectrode. This work offers an innovative approach to biosignal sensing by harnessing the high electrical conductivity and low skin-to-electrode contact impedance of MXene-based dry electrodes. Its design, inspired by Nesler's pneumatic interference actuator, ensures stable skin-to-electrode contact, enabling robust biosignal detection in diverse situations. Extensive research is conducted on key design parameters, such as the width and number of multiple semicircular legs, the radius of the anchoring frame, and pneumatic pressure, to accommodate a wide range of applications. Furthermore, a real-time wireless electrophysiological monitoring system has been developed, with a signal-to-noise ratio and accuracy comparable to those of commercial bioelectrodes. This work excels in recognizing various hand gestures through a convolutional neural network, ultimately introducing a shape-morphing electrode that provides reliable, high-performance biosignal sensing for dynamic users.

Nature CommunicationsVol. 15(1)
University of Illinois Urbana-Champaign (US), Daegu Gyeongbuk Institute of Science and Technology (KR), Yonsei University (KR), Korea Institute of Brain Science (KR)
Korea Medical Device Development Fund, National Research Foundation, Ministry of Trade, Industry and Energy, Ministry of Food and Drug Safety, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
8.30
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