EEG Signal Processing Techniques and Applications
Overview & Synopsis
This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time–frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques. The range of applications covers healthcare, emotion, motor imagery, external stimulation, mental workload, and satisfaction.
Indexed from repository: Directory of Open Access Books
(
www.doabooks.org)
Document Information
| Document Title | EEG Signal Processing Techniques and Applications |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | CHB-MIT dataset |
| Categories | Open Access Books |
| Publication Year | 2024 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-44597 |
| Original Source Link | Visit Source Page on www.doabooks.org » |