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    EEG analysis of speaking and quiet states during different emotional music stimuli by Xianwei Lin, Xinyue Wu, Zefeng Wang, Zhengting Cai, Zihan Zhang, Guangdong Xie, Lianxin Hu, Laurent Peyrodie

    Published 2025-02-01
    “…In terms of constructing the classification model, this study compares the classification performance of deep neural networks with other machine learning algorithms.ResultsThe differences in EEG signals between different emotions during speech are more pronounced compared to those in a quiet state. In the classification of EEG signals for speaking and quiet states, using deep neural network algorithms can achieve accuracies of 95.84% and 96.55%, respectively.DiscussionUnder the stimulation of music with different emotions, there are certain differences in EEG between speaking and resting states. …”
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    Impact of Spasticity on Balance Control during Quiet Standing in Persons after Stroke by Reza Rahimzadeh Khiabani, George Mochizuki, Farooq Ismail, Chris Boulias, Chetan P. Phadke, William H. Gage

    Published 2017-01-01
    “…Fifteen individuals with high spasticity (Modified Ashworth Scale (MAS) score of ≥2) and 12 individuals with low spasticity (MAS score <2) completed quiet standing trials with eyes open and closed conditions. …”
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    A Concurrent Cognitive Task Does Not Perturb Quiet Standing in Fibromyalgia and Chronic Fatigue Syndrome by Omid Rasouli, Egil A. Fors, Ottar Vasseljen, Ann-Katrin Stensdotter

    Published 2018-01-01
    “…Quiet standing on a force plate was performed for 60 s/condition, with and without a concurrent cognitive task. …”
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    Estimating whole-body centre of mass sway during quiet standing with inertial measurement units. by Liam H Foulger, Emma R Reiter, Calvin Kuo, Mark G Carpenter, Jean-Sébastien Blouin

    Published 2025-01-01
    “…These results indicate that IMUs can be used to estimate CoM displacements during quiet standing and that four IMUs are necessary to do so. …”
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    Research on Recognition of Quiet Period of Sandstone Acoustic Emission Based on Four Machine Learning Algorithms by Dong Duan, Xiaojing Feng, Ruizhe Zhang, Xiaoyu Chen, Hongzhi Zhang

    Published 2022-01-01
    “…Aiming at solving the problem that it is difficult to recognize the quiet period of acoustic emission in rocks, four machine learning algorithms were adopted to develop and improve the recognition method of the quiet period of acoustic emission. …”
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