EEG Signal Processing for Biomedical Applications / / edited by Yvonne Tran.
This reprint focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information. In addition to capturing complex neural patterns at high speeds, EEG sign...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | Basel, Switzerland : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023. |
Year of Publication: | 2023 |
Language: | English |
Physical Description: | 1 online resource (320 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | This reprint focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information. In addition to capturing complex neural patterns at high speeds, EEG signals are a reliable and non-invasive way of measuring the electrical activity in the brain. By examining various novel analysis and signal processing methods, this collection of papers provides a better understanding of cognitive states and brain activity. |
---|---|
ISBN: | 3036565361 |
Hierarchical level: | Monograph |
Statement of Responsibility: | edited by Yvonne Tran. |