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用于可穿戴生物电位传感和人工智能手势信号传输的介观杂交丝素蛋白表带

Meso Hybridized Silk Fibroin Watchband for Wearable Biopotential Sensing and AI Gesture Signaling.

作者信息

Wang Xiao, Lu Changsheng, Jiang Zerong, Shao Guangwei, Cao Jingzhe, Liu Xiang Yang

机构信息

State Key Laboratory of Marine Environmental Science (MEL), College of Ocean and Earth Sciences, Xiamen University, Xiamen, Fujian, 361102, P. R. China.

Engineering Research Center of Technical Textiles, Ministry of Education, College of Textiles, Donghua University, Shanghai, 201620, P. R. China.

出版信息

Adv Sci (Weinh). 2025 Feb;12(5):e2410702. doi: 10.1002/advs.202410702. Epub 2024 Dec 11.

DOI:10.1002/advs.202410702
PMID:39660568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11792041/
Abstract

Human biopotential signals, such as electrocardiography, are closely linked to health and chronic conditions. Electromyography, corresponds to muscle actions and is pertinent to human-machine interactions. Here, we present a type of smart and flexible watchband that includes a mini flexible electrode array based on Mo-Au filament mesh, combined with mesoscopic hybridized silk fibroin films. As the layer in contact with the skin, waterborne polyurethane and SF create a highly flexible and permeable meso-hybridized SF/WPU layer, ensuring skin-friendliness and comfortable wearing. The flexible FM electrodes are created by integrating Mo-Au FM into 2D-interconnected networks. Molybdenum filaments provide high rigidity and are coated with Aurum to enhance conductivity. The use of Mo-Au FMs in warp-knitted patterns results in high SNR (43.22 dB), high sensitivity (44.43 mV/kg), and significant motion noise reduction due to the pattern's elastic deformability and skin-gripping properties. Leveraging these unique technologies, these smart watchbands excel in prolonged sensing operation, grasping force detection, and gesture recognition. Through smart raining via deep learning, we achieved an unparalleled recognition rate (96% across 20 volunteers of different genders) among other EMG sensing devices. These results have significant implications for human-machine interaction, including applications in underwater robot control, drone operation, and autonomous vehicle control.

摘要

人体生物电位信号,如心电图,与健康和慢性病密切相关。肌电图则对应肌肉活动,与人机交互相关。在此,我们展示了一种智能且灵活的表带,它包括基于钼-金细丝网格的微型柔性电极阵列,并结合了介观杂化丝素蛋白膜。作为与皮肤接触的层,水性聚氨酯和丝素蛋白形成了一个高度灵活且透气的介观杂化丝素蛋白/水性聚氨酯层,确保了对皮肤的友好性和佩戴舒适性。柔性细丝状电极是通过将钼-金丝状电极集成到二维互连网络中制成的。钼丝提供高刚性,并涂有金以增强导电性。在经编图案中使用钼-金丝状电极可实现高信噪比(43.22分贝)、高灵敏度(44.43毫伏/千克),并且由于图案的弹性变形能力和贴合皮肤的特性,可显著降低运动噪声。利用这些独特技术,这些智能表带在长时间传感操作、抓握力检测和手势识别方面表现出色。通过深度学习进行智能训练,我们在其他肌电图传感设备中实现了无与伦比的识别率(在20名不同性别的志愿者中达到96%)。这些结果对人机交互具有重要意义,包括在水下机器人控制、无人机操作和自动驾驶车辆控制中的应用。

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本文引用的文献

1
Flexible Meso Electronics and Photonics Based on Cocoon Silk and Applications.基于蚕茧丝的柔性介观电子学和光子学及其应用。
ACS Biomater Sci Eng. 2024 May 13;10(5):2784-2804. doi: 10.1021/acsbiomaterials.4c00254. Epub 2024 Apr 10.
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High-Performance Hydrogel Sensors Enabled Multimodal and Accurate Human-Machine Interaction System for Active Rehabilitation.高性能水凝胶传感器助力多模态、精准的人机交互主动康复系统
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Synchronized wearables for the detection of haemodynamic states via electrocardiography and multispectral photoplethysmography.
通过心电图和多光谱光电容积脉搏波描记法检测血流动力学状态的同步可穿戴设备。
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sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters.基于肌电信号的人体前臂运动预测,利用基于个体解剖/生理测量和一组简化优化参数的生物力学模型。
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Hairy-Skin-Adaptive Viscoelastic Dry Electrodes for Long-Term Electrophysiological Monitoring.适用于长期生理电监测的毛面自适应黏弹干电极。
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