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EEG signal processing : feature extraction, selection and classification methods /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Leong, Wai Yie, editor. |
| 단체저자명 | Institution of Engineering and Technology,issuing body. |
| 서명/저자사항 | EEG signal processing :feature extraction, selection and classification methods /edited by Wai Yie Leong |
| 발행사항 | Stevenage, United Kingdom : Institution of Engineering and Technology, 2019 |
| 형태사항 | 1 online resource : illustrations |
| 총서사항 | IET healthcare technologies series ;16 |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 1785613715 9781785613715 |
| 서지주기 | Includes bibliographical references and index |
| 내용주기 | Intro -- Title -- Copyright -- Contents -- Foreword -- 1 EEG extraction for meditation -- 1.1 Introduction -- 1.2 EEG signal processing -- 1.2.1 Data collection -- 1.2.2 Data preparation -- 1.2.3 Filters -- 1.2.4 Principal component analysis -- 1.2.5 Independent component analysis -- 1.2.6 Segmentation and manual artifact deletion -- 1.3 Feature extraction -- 1.3.1 Review of some feature extraction methods -- 1.4 Conclusion -- Appendix A -- References -- 2 EEG in auditory selective attention -- 2.1 Pioneer studies on neural correlates of auditory selective attention 2.2 Single sweep ALRs and wavelet-phase stability (WPS) -- 2.3 WPS and the neural correlates of selective attention -- 2.3.1 Study on the normal healthy subjects -- 2.3.2 Study on tinnitus patients (pre- and post-music therapy) -- 2.3.3 Study on tinnitus decompensated patients -- 2.4 Remarks -- 2.5 Conclusion -- References -- 3 Investigating EEG signal detection, feature optimisation, and extraction method for sleep apnea -- 3.1 Introduction -- 3.2 Literature review -- 3.3 Research methodology -- 3.4 Experimental results -- 3.4.1 The experimental setup of sleep apnea study 3.4.2 Effect of forebody -- 3.4.3 Performance analysis using index of orthogonality -- 3.4.4 Extracting sleep bands using wavelet -- 3.4.5 Extracting sleep bands using EMD -- 3.5 Conclusion -- References -- 4 Person authentication using electroencephalogram (EEG) brainwaves signals -- 4.1 Introduction -- 4.2 The human brain -- 4.3 Electroencephalogram (EEG) -- 4.3.1 Event-related potentials -- 4.3.2 Visual-evoked potential -- 4.3.3 Electrode placements -- 4.4 Experimentation -- 4.4.1 EEG signal recording and segmentation -- 4.4.2 Feature extraction -- 4.4.3 Feature selection 4.4.4 Classification -- 4.5 Results and discussion -- 4.6 Conclusion -- References -- 5 Handedness detection system -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Lifting-based discrete Wavelet Transform -- 5.2.2 Reconstructed empirical mode decomposition -- 5.2.3 Finite impulse response filter -- 5.2.4 Mean EEG coherence -- 5.3 Results and discussion -- 5.3.1 Analysis of the MEC -- 5.3.2 Analysis on spectrogram and power spectral density -- 5.3.3 Analysis on instantaneous frequency -- 5.3.4 Analysis on dynamic time warp -- 5.4 Conclusion -- References -- 6 Parkinson's disease feature extraction 6.1 Introduction -- 6.2 Literature review -- 6.3 Methodology -- 6.3.1 Discrete Wavelet Transform -- 6.3.2 Haar Wavelet -- 6.3.3 Daubechies Wavelet -- 6.4 Experiment setup -- 6.5 Results and discussion -- 6.5.1 Index of orthogonality -- 6.5.2 Stride time signal -- 6.5.3 Sleep EEG -- 6.5.4 Sleep band extraction -- 6.6 Conclusion -- References -- 7 Source analysis in motor imagery EEG BCI applications -- 7.1 Introduction to source localization -- 7.1.1 Inverse solutions -- 7.1.2 Point-spread function -- 7.1.3 Spatial component decorrelation |
| 요약 | The book has 12 chapters which are on: EEG extraction; EEG in auditory selective attention; EEG signal detection, feature optimisation, and extraction method for sleep apnea; person authentication using electroencephalogram (EEG) brain waves signals; handedness detection system; Parkinson's disease feature extraction; source analysis in motor imagery EEG BCI applications; smart air travel support system; brain signal classification using normalisation; biometric brain dermatoglyphic neural architecture; electrocardiography; and OSAS blind source separation |
| 일반주제명 | Electroencephalography. Signal processing. Biometric identification. Brain. Brain-computer interfaces. Electrocardiography. Hearing. Medical technology. Neural networks (Computer science) Sleep. Electroencephalography. Signal Processing, Computer-Assisted. Biometric identification Brain Brain-computer interfaces Electrocardiography Electroencephalography Hearing Medical technology Neural networks (Computer science) Signal processing Sleep biometrics (access control) brain brain-computer interfaces electrocardiography electroencephalography feature extraction hearing medical disorders medical signal processing neural nets sleep |
| 언어 | 영어 |
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|---|---|---|---|---|---|---|---|---|
| 1 | WE00017882 | 616.8047547 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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