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...
Сохранить в:
| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Sciendo
2023-12-01
|
| Серии: | Journal of Electrical Bioimpedance |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.2478/joeb-2023-0009 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|