大葉大學圖書館 |

EEG signal processing and machine learning[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	616.8/047547
書名/作者:	EEG signal processing and machine learning/ Saeid Sanei, Jonathon A. Chambers.
作者:	Sanei, Saeid.
其他作者:	Chambers, Jonathon A.
出版者:	Hoboken, NJ : : Wiley,, 2022.
面頁冊數:	1 online resource.
標題:	Electroencephalography.
標題:	Signal processing.
標題:	Machine learning.
ISBN:	9781119386957
ISBN:	1119386950
ISBN:	9781119386926
ISBN:	1119386926
ISBN:	9781119386933
ISBN:	1119386934
書目註:	Includes bibliographical references and index.
內容註:	Front Matter -- 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.
摘要、提要註:	"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"--
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119386957

EEG signal processing and machine learning[electronic resource] /
Sanei, Saeid.

EEG signal processing and machine learning[electronic resource] /Saeid Sanei, Jonathon A. Chambers. - 2nd ed. - Hoboken, NJ :Wiley,2022. - 1 online resource.

Includes bibliographical references and index.

Front Matter -- 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.

"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"--

ISBN: 9781119386957

Standard No.: 10.1002/9781119386957doiSubjects--Topical Terms:

393941
Electroencephalography.

LC Class. No.: RC386.6.E43 / E54 2021

Dewey Class. No.: 616.8/047547

National Library of Medicine Call No.: WL 150 / S194 2021

EEG signal processing and machine learning[electronic resource] /
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100 1 $a Sanei, Saeid. $3 662544
245 1 0 $a EEG signal processing and machine learning $h [electronic resource] / $c Saeid Sanei, Jonathon A. Chambers.
250 $a 2nd ed.
260 $a Hoboken, NJ : $b Wiley, $c 2022.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a Front Matter -- 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.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Electroencephalography. $3 393941
650 0 $a Signal processing. $3 174043
650 0 $a Machine learning. $3 202931
700 1 $a Chambers, Jonathon A. $3 747965
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119386957