使用3D打印高增益天线的122 GHz连续波雷达进行远距离心音检测

Nils C. Albrecht, Markus Heyder, Marvin Wenzel, Dominik Langer, Hui Lu, Alexander Koelpin
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引用次数: 0

摘要

这一贡献提出了一个122 GHz连续波(CW)雷达系统,能够在至少5米的距离上探测到人类的心脏声音。利用双向长短期记忆(LSTM)神经网络从雷达数据中提取精确的温度间隔(ibi)。进行了两个人的小规模人体试验,并将该系统的准确度与金标准心电图(ECG)进行了比较。与ECG ibi相比,该系统的平均绝对误差为5 ms,标准差(SD)为63 ms。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-Distance Heart Sound Detection using 122 GHz CW Radar with 3D Printed High-Gain Antennas
This contribution presents a 122 GHz continuous wave (CW) radar system capable of detecting human heart sounds over a distance of at least five meters. A bidirectional long short-term memory (LSTM) neural network is used to extract precise inter-beat-intervals (IBIs) from the radar data. A small-scale human trial with two persons is carried out, and the resulting accuracy of the system is compared to a gold-standard electrocardiogram (ECG). The proposed system shows a mean absolute error of 5 ms and a standard deviation (SD) of 63 ms compared to the ECG IBIs.
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