TY - BOOK AU - Heyat,Md Belal Bin TI - Insomnia: Medical Sleep Disorder & Diagnosis SN - 9783960675891 AV - RC548 .H493 2017 U1 - 616.8498 PY - 2017/// CY - Hamburg PB - Diplomica Verlag KW - Insomnia KW - Sleep disorders KW - Electronic books N1 - 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 UR - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=5150429 ER -