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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.
Skin irritation is a common challenge for commercial wearable biosignal sensors due to direct contact with the skin. Here, the authors suggest a lightweight, flexible fabric-based lamina emergent MXene electrode as a solution.
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Details
; Cho, Soo Young 1
; Choi, Young Jin 1
; Oh, Saehyuck 3
; Choi, Yoon Young 4 ; Lee, Taeyoon 5
; Jang, Kyung-In 3
; Cho, Jeong Ho 1
1 Yonsei University, Department of Chemical and Biomolecular Engineering, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454)
2 Daegu Gyeongbuk Institute of Science and Technology (DGIST), Department of Energy Science and Engineering, Daegu, Republic of Korea (GRID:grid.417736.0) (ISNI:0000 0004 0438 6721)
3 Daegu Gyeongbuk Institute of Science and Technology (DGIST), Department of Robotics and Mechatronics Engineering, Daegu, Republic of Korea (GRID:grid.417736.0) (ISNI:0000 0004 0438 6721)
4 University of Illinois at Urbana−Champaign, Department of Mechanical Science and Engineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991)
5 Yonsei University, School of Electrical and Electronic Engineering, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454); Korea Institute of Science and Technology (KIST), Department of Bio and Brain Engineering, Seoul, Republic of Korea (GRID:grid.496416.8) (ISNI:0000 0004 5934 6655)




