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Titlebook: Computational Intelligence Techniques in Diagnosis of Brain Diseases; Sasikumar Gurumoorthy,Naresh Babu Muppalaneni,Xiao Book 2018 The Aut

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發(fā)表于 2025-3-21 17:56:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Intelligence Techniques in Diagnosis of Brain Diseases
編輯Sasikumar Gurumoorthy,Naresh Babu Muppalaneni,Xiao
視頻videohttp://file.papertrans.cn/233/232410/232410.mp4
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Computational Intelligence Techniques in Diagnosis of Brain Diseases;  Sasikumar Gurumoorthy,Naresh Babu Muppalaneni,Xiao Book 2018 The Aut
描述.This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain..
出版日期Book 2018
關(guān)鍵詞Epilepsy Captures; Artificial Neural Networks (ANN); Electroencephalogram (EEG); Alzheimer’s Disease; Ba
版次1
doihttps://doi.org/10.1007/978-981-10-6529-3
isbn_softcover978-981-10-6528-6
isbn_ebook978-981-10-6529-3Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2018
The information of publication is updating

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發(fā)表于 2025-3-21 20:59:38 | 只看該作者
Sasikumar Gurumoorthy,Naresh Babu Muppalaneni,Xiao
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發(fā)表于 2025-3-22 02:35:05 | 只看該作者
Book 2018s, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made i
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Book 2018ntly extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain..
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https://doi.org/10.1007/978-981-10-6529-3Epilepsy Captures; Artificial Neural Networks (ANN); Electroencephalogram (EEG); Alzheimer’s Disease; Ba
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