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Motion Artifact Correction of Multi-Measured Functional Near-Infrared Spectroscopy Signals Based on Signal Reconstruction Using an Artificial Neural Network

机译：使用人工神经网络基于信号重建的多测量功能近红外光谱信号的运动伪影校正

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Gihyoun Lee; Sang Jin; Jinung An;
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1. A novel online method for identifying motion artifact and photoplethysmography signal reconstruction using artificial neural networks and adaptive neuro-fuzzy inference system [J] . Neural computing & applications . 2020,第8期

机译：一种新的在线方法，用于使用人工神经网络和自适应神经模糊推理系统识别运动伪影和光电到测量信号重建的在线方法
2. Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals [J] . Rosas-Romero Roberto, Guevara Edgar, Peng Ke, Computers in Biology and Medicine . 2019,第期

机译：用卷积神经网络预测癫痫发作和功能近红外光谱信号
3. Empirical mode decomposition-based motion artifact correction method for functional near-infrared spectroscopy [J] . Yue Gu, Junxia Han, Zhenhu Liang, Journal of biomedical optics . 2016,第1期

机译：基于经验模式分解的运动近红外光谱运动伪影校正方法
4. Motion Artefact Removal in Functional Near-infrared Spectroscopy Signals Based on Robust Estimation [C] . Mengmeng Wang, Abd-Krim Seghouane IEEE International Conference on Acoustics, Speech and Signal Processing . 2019

机译：基于鲁棒估计的功能性近红外光谱信号中的运动伪像去除
5. Depth resolved near-infrared spectroscopy and applications of artificial neural networks in pharmaceutical analysis. [D] . Nerella, Nadhamuni Gupta. 1995

机译：深度分辨近红外光谱法和人工神经网络在药物分析中的应用。
6. Motion Artifact Correction of Multi-Measured Functional Near-Infrared Spectroscopy Signals Based on Signal Reconstruction Using an Artificial Neural Network [O] . Gihyoun Lee, Sang Hyeon Jin, Jinung An 2018

机译：基于人工神经网络信号重构的多功能近红外光谱信号运动伪影校正
7. MOTION ARTIFACT REDUCTION IN FUNCTIONAL NEAR INFRARED SPECTROSCOPY SIGNALS BY AUTOREGRESSIVE MOVING AVERAGE MODELING BASED KALMAN FILTERING [O] . MEHDI AMIAN, S. KAMALEDIN SETAREHDAN 2013

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Motion Artifact Correction of Multi-Measured Functional Near-Infrared Spectroscopy Signals Based on Signal Reconstruction Using an Artificial Neural Network

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