在功能性皮质肌肉合中,局部频段的多尺度信息相互作用
Shengcui Cheng1, Xiaoling Chen1,2, Yuanyuan Zhang1
1Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, Hebei China.
Cognitive neurodynamics
|November 17, 2023
概括
一种新的方法,双变体实证模式分解-多尺度转移 (BMSTE),量化了跨时间频率尺度的大脑肌肉通信. BMSTE揭示了详细的功能性皮质肌肉合模式,进步了对运动控制的理解.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 功能性皮质肌肉合 (FCMC) 对于运动控制至关重要.
- 现有的多尺度传输 (MSTE) 缺乏局部频段分析.
研究的目的:
- 开发一种新的方法来量化皮质和肌肉之间的局部频段的多尺度相互作用.
- 为了引入双变体实证模式分解-多尺度转移 (BMSTE) 方法.
主要方法:
- 结合双变体实证模式分解 (BEMD) 与MSTE.
- 使用模拟模型和分析EEG和EMG信号在稳定状态力输出时的验证.
主要成果:
- BMSTE有效地捕捉了多尺度时间频率特征,优于MSTE.
- BMSTE对合强度敏感,而不是数据长度.
- 在β和gamma波段中确定了较高的下降皮质肌肉合,具有特定的尺度差异.
结论:
- BMSTE准确地描述了跨时间频率尺度的信号相互作用.
- 为了解电机控制和FCMC提供了一种新的方法.
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