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Updated: Feb 8, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
Un marco de CNN-LSTM en cascada para cuantificar el movimiento respiratorio a partir de señales de electromiografía
Yihan Huang1, Xiangbin Zhang2, Di Yan2
1Sichuan University, Sichuan University, Chengdu 610041, China, Chengdu, Sichuan, 610041, CHINA.
Un novedoso marco de aprendizaje profundo suprime eficazmente la interferencia electrocardiográfica (ECG) en las señales de electromiografía de superficie (sEMG) del diafragma. Esto permite una monitorización respiratoria precisa en tiempo real para aplicaciones clínicas, superando a los métodos tradicionales.
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