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用于多模态离散生理传感的纹身辅助光学传感器系统

Tattoo Assisted Optical Sensor System for Multimodal Discrete Physiological Sensing.

作者信息

Wu Zihuan, El-Barbary Ahmad, Lafleur David, Zhuo Shuyun, Williams Chris, Ameri Shideh Kabiri

机构信息

Department of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.

Centre for Neuroscience Studies, Queen's University, 18 Stuart St, Kingston, ON, K7L 3N6, Canada.

出版信息

Adv Healthc Mater. 2025 Jul;14(18):e2404933. doi: 10.1002/adhm.202404933. Epub 2025 Jun 4.

DOI:10.1002/adhm.202404933
PMID:40465310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12264846/
Abstract

This work introduces a novel method for recording electrophysiological signals and sensing physiological events using an optical tattoo sensor (OTS), eliminating the need for integrating electronics on the skin. Traditional sensors face challenges due to the mechanical mismatch between rigid silicon-based circuits and soft, stretchable sensors, leading to poor performance and interface failures. The OTS, which can be applied as a conventional temporary tattoo, eliminates scattered light from beneath the skin. When used with a handheld speckle sensing device, it improves signal-to-noise ratio and stability in capturing physiological activities beneath the skin. Using the tattoo assisted portable optical sensing system, different types of electrophysiological signal recording and physiological events sensing, including electrocardiography (ECG), electromyography (EMG), seismocardiography (SCG), respiration rate, and pulses, are performed. A shallow neural network is developed to convert the detected skin motions into electrophysiological signals such as ECG. The electrophysiological recording using OTS shows consistency with electrically measured signals.

摘要

这项工作介绍了一种使用光学纹身传感器(OTS)记录电生理信号和感知生理事件的新方法,无需在皮肤上集成电子器件。传统传感器由于刚性硅基电路与柔软、可拉伸传感器之间的机械不匹配而面临挑战,导致性能不佳和接口故障。OTS可以作为传统的临时纹身应用,消除皮肤下方的散射光。当与手持式散斑传感设备一起使用时,它可以提高信噪比和捕捉皮肤下方生理活动的稳定性。使用纹身辅助便携式光学传感系统,可以进行不同类型的电生理信号记录和生理事件感知,包括心电图(ECG)、肌电图(EMG)、心震图(SCG)、呼吸频率和脉搏。开发了一种浅层神经网络,将检测到的皮肤运动转换为诸如ECG等电生理信号。使用OTS进行的电生理记录与电测量信号显示出一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/32894912c2d7/ADHM-14-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/62bbd0d52aa6/ADHM-14-0-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/798087c45ae6/ADHM-14-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/591dae93700d/ADHM-14-0-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/32894912c2d7/ADHM-14-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/62bbd0d52aa6/ADHM-14-0-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/798087c45ae6/ADHM-14-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/591dae93700d/ADHM-14-0-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a6/12264846/32894912c2d7/ADHM-14-0-g002.jpg

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