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空间时空特征学习用于日常生活中使用FMCW雷达检测咳

Saihu Lu1,2, Yuhan Liu1,2, Guangqiang He3,4

  • 1Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100094, China.

Bioengineering (Basel, Switzerland)
|October 29, 2025
PubMed
概括

使用人工智能的新雷达系统准确检测咳,提供一种非侵入性的方法来远程监测呼吸系统健康. 这项技术改善了咳识别,用于更好的医疗保健和远程医疗应用.

关键词:
在FMCW雷达.咳检测检测器 咳检测器深度学习是一种深度学习.医疗保健 医疗保健 医疗保健

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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