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Updated: Jun 14, 2026

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
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AML-DECODER:用于HD的先进机器学习-sEMG信号分类-解码前臂肌肉中的侧侧脊髓炎.

Mehdi Shirzadi1, Mónica Rojas Martínez1, Joan Francesc Alonso1

  • 1Automatic Control Department (ESAII), Biomedical Engineering Research Centre (CREB), Universitat Politècnica de Catalunya-Barcelona Tech (UPC), 08028 Barcelona, Spain.

Diagnostics (Basel, Switzerland)
|October 25, 2024
PubMed
概括

阶段振幅合 (PAC) 特性显示100%的准确性来诊断侧面表皮质炎 (LE). 这种使用可穿戴传感器的新方法为检测神经肌肉疾病提供了重大进展.

关键词:
在高清-sEMGG.交叉频率合器交叉频率合器深度学习是一种深度学习.诊断算法 诊断算法数字健康数字健康前臂肌肉 前臂肌肉侧面表皮质炎 侧面表皮质炎阶段幅度合器相位幅度合器信号处理 信号处理 信号处理

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