The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:
- Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals
- Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface
- Highlights the latest machine learning and deep learning methods for neural signal processing
- Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis
- Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques
It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.
Betaal eenvoudig met kaart, Klarna, Apple Pay of Google Pay. Niet tevreden? Je hebt altijd 14 dagen bedenktijd. Lees meer in onze voorwaarden. Heb je vragen, mail ons dan via hello@memmo.org.
Memmo maakt studeren makkelijker – waar je ook bent ter wereld. Wij brengen je cursusboeken en slimme studietools samen op één plek: samenvattingen, quizzen, podcasts en flashcards. En Ted, je studievriend die antwoord geeft op alles wat je je afvraagt. Meer dan 50.000 studenten studeren hier al – gebouwd om je sneller te laten leren en minder stress te geven.