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使用可穿戴传感器进行非侵入性潮体积估计,使用高增益观察器和深度学习

Meng Ba1, Paolo Pianosi1, Rajesh Rajamani1

  • 1University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.

Computers in biology and medicine
|September 30, 2025
PubMed
概括

本研究提出了一种使用可穿戴传感器和深度学习来估计潮体积 (TV) 的新型非侵入性方法. 这种方法提供了精确的呼吸监测,可能取代传统的螺旋计.

关键词:
生物医学信号处理美国有线电视新闻 (CNN-LSTM)深度学习是一种深度学习.惯性测量单位是一种惯性测量单位.非线性观察者是一个非线性观察者.呼吸监测 呼吸监测 呼吸监测潮的体积是潮的体积.

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