EEG Detection and Prediction of Freezing of Gait in Parkinson's Disease Based on Spatiotemporal Coherent Modes

The spatiotemporal coherent modes may provide a useful indication for personalized intervention and transcranial magnetic stimulation neuromodulation in medical practices.

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Publication Details

Journal
IEEE Journal of Biomedical and Health Informatics
Published
2024-11-11
DOI
https://doi.org/10.1109/jbhi.2024.3496074
Citations
4
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.55

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article

EEG Detection and Prediction of Freezing of Gait in Parkinson's Disease Based on Spatiotemporal Coherent Modes

Yuzhu Guo, Jun Li
4 citations
IEEE Journal of Biomedical and Health Informatics
Muscle activation and electromyography studies
0.55
article

EEG Detection and Prediction of Freezing of Gait in Parkinson's Disease Based on Spatiotemporal Coherent Modes

Yuzhu Guo, Jun Li
article en
4 citations

Abstract

The spatiotemporal coherent modes may provide a useful indication for personalized intervention and transcranial magnetic stimulation neuromodulation in medical practices.

IEEE Journal of Biomedical and Health InformaticsVol. 29(4)
Jilin University (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 36%
Muscle activation and electromyography studies
0.55
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