EEG signal processing and machine learning / Saeid Sanei, Jonathon A. Chambers.
| Author/creator | Sanei, Saeid |
| Other author | Chambers, Jonathon A. |
| Other author | John Wiley & Sons. |
| Format | Electronic |
| Edition | Second edition. |
| Publication Info | Hoboken, NJ : Wiley, 2021. |
| Description | pages cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Abstract | "Electroencephalogram (EEG) signal processing is concerned with the development and application of advanced digital signal processing algorithms for analysis, quantification, separation, and classification of the impact of various brain abnormalities on the EEGs. Any medical or neurological condition that affects brain function will alter the EEG. Brain abnormalities introduce various rhythmic or arrhythmic effects on the signals. Moreover, most of the abnormalities in the human body directly or indirectly affect the brain and consequently change the EEG signals. Processing of biosignals using newly developed techniques have become a strong field of research and digital signal processing concepts have become part of the core training in biomedical engineering"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2021003276 |
| ISBN | 9781119386940 (hardback) |
| ISBN | (adobe pdf) |
| ISBN | (epub) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |