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Advanced electroencephalography analytical methods : fundamentals, acquisition, and applications / edited by Ganesh Naik, Wellington Pinheiro dos Santos, and Gaetano Gargiulo.

Contributor(s): Material type: TextPublication details: London: CRC Press, 2025Edition: First editionDescription: 268 pages 24cmISBN:
  • 9781032171708
  • 9781032171715
Subject(s): Additional physical formats: Online version:: Advanced electroencephalography analytical methodsDDC classification:
  • 616.8047547 23 A2442
Contents:
Diagnostic applications of EEG signal patterns in Neuroscience / Arun Sasidharan, Sumit Sharma, Vrinda M, Kusumika Krori Dutta, and Chetan S Mukundan -- Deep Learning Techniques for Automatic Sleep Pattern Identification and Disorder Evaluation using EEG Signals / K R Shylaja -- Recent Trends in EEG-Based MI and SSVEP Brain-Computer Interface Applications : A Review / Sheikh Farhana Binte Ahmed, Saiful Islam Leon, Jarina Akter, Maisha Anjum, Nazmus Sakib and Md. Kafiul Islam -- Recent Trends in EEG-Based P300, Neuromarketing and E-sports Brain-Computer Interface Applications : A Review / Sheikh Farhana Binte Ahmed, Mehedi Hasan, Md. Tawhid Islam Opu, Faisal Bin Shahin, Md. Ahsan-Ul Kabir Shawon, Tasnuva Faruk and Md. Kafiul Islam -- Significance of Fourier Transform for Epileptic EEG signal analysis / Pooja, Sourav Maity and Karan Veer -- Alternative treatment with nonperiodic acoustic stimulation for Pharmaco resistant epileptic patients : an exploratory study / Juliana C. Gomes, Vanessa Marques, Caio de Brito, Yasmin Nascimento, Gabriel Miranda, Nathália Córdula, Camila Fragoso, Arianne Torcarte, Maíra A. Santana, Giselle Moreno, and Wellington P. dos Santos -- Artifacts removal in Electroencephalogram (EEG) signals / Jammisetty Yedukondalu, M Krishna Chaitanya, and Lakhan Dev Sharma -- Multi-channel and multi-label decision-making system (MCL-DMS) for sleep stage and sleep disorder recognition from EEG signals / Yi-Hsuan Cheng, Margaret Lech and Richardt H. Wilkinson -- Analyzing and Decoding Natural Reach & Grasp Action Using Convolutional Neural Network / Abida Nazir, Asim Waris, Shafiq Alam, Shafaq Mushtaq, Rabia Nazir and Imran Khan Niazi -- Classification of motor imagery EEG signals based on sparse representations of Empirical Mode Decomposition features / José Antonio Alves de Menezes, Juliana Carneiro Gomes, Vitor de Carvalho Hazin, Júlio César Sousa Dantas, Marcelo Cairrão Araújo Rodrigues, Pedro Luís Gurgel Nogueira, and Wellington P. dos Santos -- Prediction of Onset of Seizures from EEG signals using ML Techniques / Sumathi A, Priya R Sankpal, Jyoti R Munavalli, and Anusha A. N.
Summary: "Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience. This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science"--
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Holdings
Item type Current library Call number Vol info Copy number Status Barcode
Books Library, Independent University, Bangladesh (IUB) Reference Stacks 616.8047547 A2442 (Browse shelf(Opens below)) 2025 01 Not For Loan 029506
Books Library, Independent University, Bangladesh (IUB) Reference Stacks 616.8047547 A2442 (Browse shelf(Opens below)) 2025 02 Not For Loan 029507
Total holds: 0

Includes bibliographical references and index.

Diagnostic applications of EEG signal patterns in Neuroscience / Arun Sasidharan, Sumit Sharma, Vrinda M, Kusumika Krori Dutta, and Chetan S Mukundan -- Deep Learning Techniques for Automatic Sleep Pattern Identification and Disorder Evaluation using EEG Signals / K R Shylaja -- Recent Trends in EEG-Based MI and SSVEP Brain-Computer Interface Applications : A Review / Sheikh Farhana Binte Ahmed, Saiful Islam Leon, Jarina Akter, Maisha Anjum, Nazmus Sakib and Md. Kafiul Islam -- Recent Trends in EEG-Based P300, Neuromarketing and E-sports Brain-Computer Interface Applications : A Review / Sheikh Farhana Binte Ahmed, Mehedi Hasan, Md. Tawhid Islam Opu, Faisal Bin Shahin, Md. Ahsan-Ul Kabir Shawon, Tasnuva Faruk and Md. Kafiul Islam -- Significance of Fourier Transform for Epileptic EEG signal analysis / Pooja, Sourav Maity and Karan Veer -- Alternative treatment with nonperiodic acoustic stimulation for Pharmaco resistant epileptic patients : an exploratory study / Juliana C. Gomes, Vanessa Marques, Caio de Brito, Yasmin Nascimento, Gabriel Miranda, Nathália Córdula, Camila Fragoso, Arianne Torcarte, Maíra A. Santana, Giselle Moreno, and Wellington P. dos Santos -- Artifacts removal in Electroencephalogram (EEG) signals / Jammisetty Yedukondalu, M Krishna Chaitanya, and Lakhan Dev Sharma -- Multi-channel and multi-label decision-making system (MCL-DMS) for sleep stage and sleep disorder recognition from EEG signals / Yi-Hsuan Cheng, Margaret Lech and Richardt H. Wilkinson -- Analyzing and Decoding Natural Reach & Grasp Action Using Convolutional Neural Network / Abida Nazir, Asim Waris, Shafiq Alam, Shafaq Mushtaq, Rabia Nazir and Imran Khan Niazi -- Classification of motor imagery EEG signals based on sparse representations of Empirical Mode Decomposition features / José Antonio Alves de Menezes, Juliana Carneiro Gomes, Vitor de Carvalho Hazin, Júlio César Sousa Dantas, Marcelo Cairrão Araújo Rodrigues, Pedro Luís Gurgel Nogueira, and Wellington P. dos Santos -- Prediction of Onset of Seizures from EEG signals using ML Techniques / Sumathi A, Priya R Sankpal, Jyoti R Munavalli, and Anusha A. N.

"Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience. This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science"--

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