Advanced electroencephalography analytical methods : fundamentals, acquisition, and applications /
Advanced electroencephalography analytical methods : fundamentals, acquisition, and applications /
edited by Ganesh Naik, Wellington Pinheiro dos Santos, and Gaetano Gargiulo.
- First edition.
- London: CRC Press, 2025
- 268 pages 24cm
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"--
9781032171708 9781032171715
Electroencephalography
Signal Processing, Computer-Assisted
Image Interpretation, Computer-Assisted--methods
Brain-Computer Interfaces
Brain Diseases--diagnosis
616.8047547 / A2442
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"--
9781032171708 9781032171715
Electroencephalography
Signal Processing, Computer-Assisted
Image Interpretation, Computer-Assisted--methods
Brain-Computer Interfaces
Brain Diseases--diagnosis
616.8047547 / A2442