Detection and location of EEG events using deep learning visual inspection

The electroencephalogram (EEG) is a major diagnostic tool that provides detailed insight into the electrical activity of the brain. This signal contains a number of distinctive waveform patterns that reflect the subject’s health state in relation to sleep, neurological disorders, memory functions, a...

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Vydané v:	PloS one Ročník 19; číslo 12; s. e0312763
Hlavný autor:	Fraiwan, Mohammad Amin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 23.12.2024 Public Library of Science (PLoS)
Predmet:	Accuracy Activity patterns Algorithms Artificial neural networks Biology and Life Sciences Brain - physiology Classification Computer and Information Sciences Datasets Deep Learning EEG Electroencephalography Electroencephalography - methods Engineering and Technology Evaluation Fourier transforms Health aspects Humans Inspection Machine learning Medicine and Health Sciences Neural networks Neurological diseases Object recognition Performance evaluation Physical Sciences Research and Analysis Methods Sensors Signal processing Signal Processing, Computer-Assisted Sleep Sleep - physiology Sleep Stages - physiology Visual discrimination learning Waveforms Wavelet transforms Jordan
ISSN:	1932-6203, 1932-6203
On-line prístup:	Získať plný text
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