EEG Signal Processing Techniques and Applications
This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time–frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques....
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| Médium: | Online |
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| Jazyk: | angličtina |
| Vydáno: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Témata: | |
| On-line přístup: | ONIX_20240514_9783725800810_92 |
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| _version_ | 1869516825209864192 |
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| collection | Directory of Open Access Books |
| description | This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time–frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques. The range of applications covers healthcare, emotion, motor imagery, external stimulation, mental workload, and satisfaction. |
| format | Online |
| id | doab-20.500.12854ir-137490 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1374902024-05-14T13:17:17Z EEG Signal Processing Techniques and Applications Zhao, Yifan He, Fei Guo, Yuzhu CHB-MIT dataset deep learning epilepsy seizure detection XLtek EEG electroencephalography (EEG) long short-term memory (LSTM) theta frequency band longitudinal bipolar montage (LB) signal processing classification sensor fusion mental workload n-back artificial intelligence feature engineering EEG functional connectivity manipulability object observation phase locking value motor imagery circulant singular spectrum analysis (CiSSA) common spatial patterns (CSP) time-frequency-spatial features brain–computer interface gamification stroke rehabilitation frustration perceived control performance accommodation mechanisms game design neuromarketing SMOTE LSTM DWT PSD electromyography electroencephalography satisfaction subjective response robot control emotion recognition EEG feature extraction valence arousal pattern recognition depth of anesthesia electroencephalogram patient state index prefrontal channels time and frequency features cross-domain transfer learning electrocardiography (ECG) convolutional neural network (CNN) seizure prediction sleep staging sparse representation classification brain computer interfaces individual gamma frequency (IGF) auditory steady-state response (ASSR) dry electrodes center-out reaching event-related spectral perturbation (ERSP) event-related desynchronization (ERD) spectral Granger causality in degree and out degree ensemble learning machine learning pilot deficiencies artifact detection tangent space EEG preprocessing heterogeneous data mental states classification feature extraction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time–frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques. The range of applications covers healthcare, emotion, motor imagery, external stimulation, mental workload, and satisfaction. 2024-05-14T13:17:09Z 2024-05-14T13:17:09Z 2024 book ONIX_20240514_9783725800810_92 9783725800810 9783725800827 https://directory.doabooks.org/handle/20.500.12854/137490 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8647 https://mdpi.com/books/pdfview/book/8647 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0082-7 10.3390/books978-3-7258-0082-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725800810 9783725800827 300 open access |
| spellingShingle | CHB-MIT dataset deep learning epilepsy seizure detection XLtek EEG electroencephalography (EEG) long short-term memory (LSTM) theta frequency band longitudinal bipolar montage (LB) signal processing classification sensor fusion mental workload n-back artificial intelligence feature engineering EEG functional connectivity manipulability object observation phase locking value motor imagery circulant singular spectrum analysis (CiSSA) common spatial patterns (CSP) time-frequency-spatial features brain–computer interface gamification stroke rehabilitation frustration perceived control performance accommodation mechanisms game design neuromarketing SMOTE LSTM DWT PSD electromyography electroencephalography satisfaction subjective response robot control emotion recognition EEG feature extraction valence arousal pattern recognition depth of anesthesia electroencephalogram patient state index prefrontal channels time and frequency features cross-domain transfer learning electrocardiography (ECG) convolutional neural network (CNN) seizure prediction sleep staging sparse representation classification brain computer interfaces individual gamma frequency (IGF) auditory steady-state response (ASSR) dry electrodes center-out reaching event-related spectral perturbation (ERSP) event-related desynchronization (ERD) spectral Granger causality in degree and out degree ensemble learning machine learning pilot deficiencies artifact detection tangent space EEG preprocessing heterogeneous data mental states classification feature extraction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues EEG Signal Processing Techniques and Applications |
| title | EEG Signal Processing Techniques and Applications |
| title_full | EEG Signal Processing Techniques and Applications |
| title_fullStr | EEG Signal Processing Techniques and Applications |
| title_full_unstemmed | EEG Signal Processing Techniques and Applications |
| title_short | EEG Signal Processing Techniques and Applications |
| title_sort | eeg signal processing techniques and applications |
| topic | CHB-MIT dataset deep learning epilepsy seizure detection XLtek EEG electroencephalography (EEG) long short-term memory (LSTM) theta frequency band longitudinal bipolar montage (LB) signal processing classification sensor fusion mental workload n-back artificial intelligence feature engineering EEG functional connectivity manipulability object observation phase locking value motor imagery circulant singular spectrum analysis (CiSSA) common spatial patterns (CSP) time-frequency-spatial features brain–computer interface gamification stroke rehabilitation frustration perceived control performance accommodation mechanisms game design neuromarketing SMOTE LSTM DWT PSD electromyography electroencephalography satisfaction subjective response robot control emotion recognition EEG feature extraction valence arousal pattern recognition depth of anesthesia electroencephalogram patient state index prefrontal channels time and frequency features cross-domain transfer learning electrocardiography (ECG) convolutional neural network (CNN) seizure prediction sleep staging sparse representation classification brain computer interfaces individual gamma frequency (IGF) auditory steady-state response (ASSR) dry electrodes center-out reaching event-related spectral perturbation (ERSP) event-related desynchronization (ERD) spectral Granger causality in degree and out degree ensemble learning machine learning pilot deficiencies artifact detection tangent space EEG preprocessing heterogeneous data mental states classification feature extraction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | CHB-MIT dataset deep learning epilepsy seizure detection XLtek EEG electroencephalography (EEG) long short-term memory (LSTM) theta frequency band longitudinal bipolar montage (LB) signal processing classification sensor fusion mental workload n-back artificial intelligence feature engineering EEG functional connectivity manipulability object observation phase locking value motor imagery circulant singular spectrum analysis (CiSSA) common spatial patterns (CSP) time-frequency-spatial features brain–computer interface gamification stroke rehabilitation frustration perceived control performance accommodation mechanisms game design neuromarketing SMOTE LSTM DWT PSD electromyography electroencephalography satisfaction subjective response robot control emotion recognition EEG feature extraction valence arousal pattern recognition depth of anesthesia electroencephalogram patient state index prefrontal channels time and frequency features cross-domain transfer learning electrocardiography (ECG) convolutional neural network (CNN) seizure prediction sleep staging sparse representation classification brain computer interfaces individual gamma frequency (IGF) auditory steady-state response (ASSR) dry electrodes center-out reaching event-related spectral perturbation (ERSP) event-related desynchronization (ERD) spectral Granger causality in degree and out degree ensemble learning machine learning pilot deficiencies artifact detection tangent space EEG preprocessing heterogeneous data mental states classification feature extraction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20240514_9783725800810_92 |