Advancing biomedical engineering: Leveraging Hjorth features for electroencephalography signal analysis
Biomedical engineering stands at the forefront of medical innovation, with electroencephalography (EEG) signal analysis providing critical insights into neural functions. This paper delves into the utilization of EEG signals within the MILimbEEG dataset to explore their potential for machine learnin...
| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Sciendo
2023-12-01
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| シリーズ: | Journal of Electrical Bioimpedance |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.2478/joeb-2023-0009 |