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无线全被动生物电势采集。

A wireless fully-passive acquisition of biopotentials.

机构信息

School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA.

School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA.

出版信息

Biosens Bioelectron. 2019 Aug 15;139:111336. doi: 10.1016/j.bios.2019.111336. Epub 2019 May 17.

DOI:10.1016/j.bios.2019.111336
PMID:31128477
Abstract

Biopotential signals contain essential information for assessing functionality of organs and diagnosing diseases. We present a flexible sensor, capable of measuring biopotentials, in real time, in wireless and fully-passive manner. The flexible sensor collects and transmits biopotentials to an external reader without wire, battery, or harvesting/regulating element. The sensor is fabricated on a 90 μm-thick polyimide substrate with footprint of 18 × 15 × 0.5 mm. The wireless fully-passive acquisition of biopotentials is enabled by the RF (Radio Frequency) microwave backscattering effect where the biopotentials are modulated by an array of varactors with incoming RF carrier that is backscattered to the external reader. The flexile sensor is verified and validated by emulated signal and Electrocardiogram (ECG), Electromyogram (EMG), and Electrooculogram (EOG), respectively. A deep learning algorithm analyzes the signal quality of wirelessly acquired data, along with the data from commercially-available wired sensor counterparts. Wired and wireless data shows <3% discrepancy in deep learning testing accuracy for ECG and EMG up to the wireless distance of 240 mm. Wireless acquisition of EOG further demonstrates accurate tracking of horizontal eye movement with deep learning training and testing accuracy reaching up to 93.6% and 92.2%, respectively, indicating successful detection of biopotentials signal as low as 250 μV. These findings support that the real-time wireless fully-passive acquisition of on-body biopotentials is indeed feasible and may find various uses for future clinical research.

摘要

生物电势信号包含评估器官功能和诊断疾病的重要信息。我们提出了一种灵活的传感器,能够实时、无线、完全无源地测量生物电势。该柔性传感器无需电线、电池或采集/调节元件即可采集和传输生物电势到外部读取器。传感器采用 90μm 厚的聚酰亚胺基板制造,尺寸为 18×15×0.5mm。生物电势的无线全无源采集是通过射频(RF)微波反向散射效应实现的,其中生物电势由带有入射 RF 载波的变容二极管阵列调制,然后反向散射到外部读取器。柔性传感器通过模拟信号和心电图(ECG)、肌电图(EMG)和眼电图(EOG)分别进行了验证和验证。深度学习算法分析了无线采集数据以及商业上可用的有线传感器对应物的数据的信号质量。在无线距离达 240mm 时,ECG 和 EMG 的深度学习测试精度无线和有线数据相差<3%。EOG 的无线采集进一步展示了使用深度学习进行水平眼球运动的准确跟踪,训练和测试精度分别高达 93.6%和 92.2%,这表明即使生物电势信号低至 250μV 也可以成功检测到。这些发现表明,实时无线全无源的体生物电势采集是可行的,并可能为未来的临床研究找到各种用途。

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