Insomnia : Medical Sleep Disorder & Diagnosis.
Material type:
- text
- computer
- online resource
- 9783960675891
- 616.8498
- RC548 .H493 2017
Insomnia: Medical Sleep Disorder & -- Diagnosis -- Acknowledgement -- Abstract -- Table of Contents -- List of Tables -- Table of Figures -- List of Abbreviations -- Chapter 1: Introduction -- 1.1 Classification of Insomnia -- 1.2 Electroencephalogram -- 1.3 Macrostructure of sleep: sleep stages -- 1.4 Microstructure of sleep -- 1.5 History -- 1.6 Motivation -- Chapter 2: Literature Review -- 2.1 Introduction -- 2.2 Degree of pineal calcification (DOC) is associated with polysomnographic sleep measures in primary insomnia patients -- 2.3 Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities -- 2.4 Internet-delivered or mailed self-help treatment for insomnia? A randomized waiting-list controlled trial -- 2.5 Insomnia Characterization: From Hypnogram to Graph Spectral Theory -- 2.6 Relation Between Heart Beat Fluctuations and Cyclic Alternating Pattern During Sleep in Insomnia Patients -- 2.7 Processing of Signals Recorded Through Smart Devices: Sleep-Quality Assessment -- 2.8 Advantages and Challenges of Power Spectral Density Estimation Methods for Scanning Radar Angular Super resolution -- 2.9 Modelling and Control for Simultaneous Laser Beam Alignment of a Dual-PSD Industrial Robot Calibration System -- 2.10 Deep Learning EEG Response Representation for Brain Computer Interface -- 2.11 A New Algorithm for Noise PSD Matrix Estimation in Multi-Microphone Speech Enhancement Based on Recursive Smoothing -- 2.12 Power Spectral Density and High Order Bi-spectral Analysis of Alzheimer's EEG -- 2.13 Binaural Noise Suppression based on an unbiased estimator of target PSD in Complex Noise Environments -- 2.14 Detection of rapid eye movement behaviour disorder using short time frequency analysis of PSD approach applied on EEG signal (ROC-LOC) -- Chapter 3: Research Methodology -- 3.1 Characteristics of the EEG signal.
3.2 Experimental Setup -- 3.3 Algorithm -- Chapter 4: Results and Discussions -- 4.1 Loading the signal -- 4.2 Extracting EEG Signals -- 4.3 Filtering of EEG Signals -- 4.4 Applied Window -- 4.5 Comparison of the Original Wave & -- Filtered Wave -- 4.6 Estimation of power spectral density -- 4.7 Calculation of normalized power -- Chapter 5: Conclusion -- Future Scope -- References.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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