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Updated: Feb 8, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
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一个级联的CNN-LSTM框架,用于从表面电肌图信号中量化呼吸运动

Yihan Huang1, Xiangbin Zhang2, Di Yan2

  • 1Sichuan University, Sichuan University, Chengdu 610041, China, Chengdu, Sichuan, 610041, CHINA.

Physics in medicine and biology
|February 6, 2026
PubMed
概括

一个新的深度学习框架有效地抑制了隔膜表面电肌图 (sEMG) 信号中的心电图 (ECG) 干扰. 这使得临床应用中可以准确的实时呼吸监测,优于传统方法.

关键词:
神经网络的神经网络的神经网络神经呼吸驱动器的神经呼吸驱动器呼吸机运动跟踪追踪器表面电力学图 (surface electromyography) 是一种表面电力学图.

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