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EEG signal processing and machine learning için kapak resmi
Başlık:
EEG signal processing and machine learning
Yazar:
Sanei, Saeid, author.
ISBN:
9781119386957

9781119386933

9781119386926

9781118691236
Basım Bilgisi:
Second edition.
Fiziksel Tanımlama:
1 online resource (xxxiv, 714 pages) illustrations
İçerik:
Introduction to Electroencephalography -- EEG Waveforms -- EEG Signal Modelling -- Fundamentals of EEG Signal Processing -- EEG Signal Decomposition -- Chaos and Dynamical Analysis -- Machine Learning for EEG Analysis -- Brain Connectivity and Its Applications -- Event-Related Brain Responses -- Localization of Brain Sources -- Epileptic Seizure Prediction, Detection, and Localization -- Sleep Recognition, Scoring, and Abnormalities -- EEG-Based Mental Fatigue Monitoring -- EEG-Based Emotion Recognition and Classification -- EEG Analysis of Neurodegenerative Diseases -- EEG As A Biomarker for Psychiatric and Neurodevelopmental Disorders -- Brain-Computer Interfacing Using EEG -- Joint Analysis of EEG and Other Simultaneously Recorded Brain Functional Neuroimaging Modalities -- Index
Özet:
"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.
Notlar:
John Wiley and Sons
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E-Kitap 596567-1001 RC386.6 .E43 E54 2021
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