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▼a EEG signal processing:
▼b feature extraction, selection and classification methods /:
▼c edited by Wai Yie Leong. -
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▼a Stevenage, United Kingdom:
▼b Institution of Engineering and Technology,
▼c 2019. -
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▼a 1 online resource:
▼b illustrations. -
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▼a online resource
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▼a IET healthcare technologies series;
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▼a Includes bibliographical references and index
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505
▼a 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
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505
▼a 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
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505
▼a 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
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505
▼a 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
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▼a 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
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520
▼a 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
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▼a Description based on print version record
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▼a Added to collection customer.56279.3
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▼a Electroencephalography.
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650
▼a Signal processing.
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650
▼a Biometric identification.
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650
▼a Brain.
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650
▼a Brain-computer interfaces.
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650
▼a Electrocardiography.
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650
▼a Hearing.
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▼a Medical technology.
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650
▼a Neural networks (Computer science)
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650
▼a Sleep.
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650
▼a Electroencephalography.
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650
▼a Signal Processing, Computer-Assisted.
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650
▼a Biometric identification
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▼a Electrocardiography
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▼a Electroencephalography
▼2 fast
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650
▼a Hearing
▼2 fast
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650
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650
▼a Neural networks (Computer science)
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▼a Signal processing
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▼a Sleep
▼2 fast
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▼a biometrics (access control)
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▼a brain
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▼a brain-computer interfaces
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▼a electrocardiography
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▼a electroencephalography
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▼a feature extraction
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▼a Leong, Wai Yie,
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EEG signal processing : feature extraction, selection and classification methods
QR코드| 자료유형 : | eBook |
|---|---|
| ISBN : | 1785613715 |
| ISBN : | 9781785613715 |
| ISBN : | |
| ISBN : | |
| 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 |
| 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 |
| 내용주기 : | 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 |
| 내용주기 : | 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 |
| 내용주기 : | 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 |
| 내용주기 : | 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. -- |
| 일반주제명 : | Signal processing. -- |
| 일반주제명 : | Biometric identification. -- |
| 일반주제명 : | Brain. -- |
| 일반주제명 : | Brain-computer interfaces. -- |
| 일반주제명 : | Electrocardiography. -- |
| 일반주제명 : | Hearing. -- |
| 일반주제명 : | Medical technology. -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 일반주제명 : | Sleep. -- |
| 일반주제명 : | Electroencephalography. -- |
| 일반주제명 : | Signal Processing, Computer-Assisted. -- |
| 일반주제명 : | Biometric identification -- |
| 일반주제명 : | Brain -- |
| 일반주제명 : | Brain-computer interfaces -- |
| 일반주제명 : | Electrocardiography -- |
| 일반주제명 : | Electroencephalography -- |
| 일반주제명 : | Hearing -- |
| 일반주제명 : | Medical technology -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 일반주제명 : | Signal processing -- |
| 일반주제명 : | Sleep -- |
| 일반주제명 : | biometrics (access control) -- |
| 일반주제명 : | brain -- |
| 일반주제명 : | brain-computer interfaces -- |
| 일반주제명 : | electrocardiography -- |
| 일반주제명 : | electroencephalography -- |
| 일반주제명 : | feature extraction -- |
| 일반주제명 : | hearing -- |
| 일반주제명 : | medical disorders -- |
| 일반주제명 : | medical signal processing -- |
| 일반주제명 : | neural nets -- |
| 일반주제명 : | sleep -- |
| 개인저자 : | Leong, Wai Yie, editor. |
| 단체저자명 : | Institution of Engineering and Technology, issuing body. |
| 언어 | 영어 |
| URL : |
|---|
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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