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Updated: Jan 18, 2026

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

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练习心率估计的一种新方法,将PPG质量评估与DNN建模结合起来

Mengshan Wu1, Xiang Chen2

  • 1School of Microelectronics, University of Science and Technology of China, Hefei, China.

Medical & biological engineering & computing
|June 3, 2025
PubMed
概括

这项研究引入了一种新方法,用于估计运动心率 (HR),使用光电脉学 (PPG) 数据质量评估和深度神经网络 (DNN). 优先考虑高质量的PPG信号可以显著提高HR估计的准确性和可靠性.

关键词:
双向的长期短期记忆.卷积神经网络是一种卷积神经网络.深度神经网络是一个神经网络.频域库尔托西斯频域库尔托西斯估计心率的心率估计摄影电磁共振图 (Photoplethysmogram) 是一种光电共振图.

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