用于实时、无线监测低频体声的柔性可穿戴机械声学传感器

Trung Thien Hoang, Alexander Mark Cunio, Sinuo Zhao, Thanh-Vinh Nguyen, Shuhua Peng, Stephanie Liaw, Tracie Barber, Jin Zhang, Syamak Farajikhah, Fariba Dehghani, Thanh Nho Do, Hoang-Phuong Phan
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摘要

测量心率和脉搏波等低频生理信号在生物医学应用中发挥着至关重要的作用,可用于早期诊断异常心血管活动。柔性机械电子学的最新进展代表了一种新概念,即微型化、可穿戴的心率测量传感器,可用于非卧床环境。然而,大多数机械传感器都需要将传感元件直接置于皮肤表面,这可能会导致性能下降或因皮肤变形或皮肤与物体相互作用产生的外力而损坏设备。这项研究通过开发柔软、可拉伸的机械声学传感平台来应对这一挑战,在该平台上,所有传感元件都不会直接受到皮肤运动或变形的影响。相反,这种设计允许心血管脉冲波通过空心柔性微通道传播,从而振动压阻传感元件。实验研究证明,这套完整的无线传感系统能够检测脉搏波和心率,其结果与市售设备一致。所提出的传感概念允许开发其他无线和柔性传感系统,如柔性空气通道垫,用于检测用户喉部运动的吞咽模式,从而为潜在的监测和吞咽困难评估提供无创和远程平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Flexible, Wearable Mechano-Acoustic Sensors for Real-Time, Wireless Monitoring of Low Frequency Body Sounds

Measurements of low-frequency physiological signals, such as heart rate and pulse waves, play an essential role in biomedical applications for the early diagnosis of abnormal cardiovascular activities. Recent advances in flexible mechanical electronics represent a novel concept of miniaturized, wearable sensors for heart rate measurement that can be used in ambulatory environments. However, most mechanical sensors require the sensing element to be placed directly on the skin surface, which can lead to performance degradation or device damage due to significant skin deformation or external forces from skin-object interactions. This work addresses this challenge by developing soft, stretchable mechano-acoustic sensing platforms where all sensing components are not directly subjected to skin movement or deformation. Instead, this design allows cardiovascular pulse waves to propagate through a hollow, flexible microchannel, to vibrate the piezoresistive sensing element. Experimental studies demonstrate a complete wireless sensing system capable of detecting pulse waves and heart rates, with results consistent with those of commercially available devices. The proposed sensing concept allows for the develop of other wireless and flexible sensing systems such as a flexible air-channel pad for detecting swallowing patterns from users’ laryngeal movements, facilitating a non-invasive and remote platform for potential monitoring, and assessment of dysphagia.

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