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Updated: Jan 29, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

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IESS-FusionNet:生理学启发的EEG-EMG融合与线性循环注意力用于婴儿性综合征检测

Junyuan Feng1, Zhenzhen Liu2, Linlin Shen3,4

  • 1College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China.

Bioengineering (Basel, Switzerland)
|January 28, 2026
PubMed
概括

准确检测婴儿性综合征 (IESS) 对婴儿神经发育至关重要. 一个新的AI模型,IESS-FusionNet,使用EEG和EMG数据进行精确的实时IESS识别,提高诊断速度.

关键词:
这是EEG-EMG的融合.马姆巴·马姆巴是什么意思深度学习是一种深度学习.婴儿发作综合征 婴儿发作综合征线性反复重复的注意力.发作检测检测 发作检测

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