ORPP logo
Image from Google Jackets

Insomnia : Medical Sleep Disorder & Diagnosis.

By: Material type: TextTextPublisher: Hamburg : Diplomica Verlag, 2017Copyright date: ©2017Edition: 1st edDescription: 1 online resource (52 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783960675891
Subject(s): Genre/Form: Additional physical formats: Print version:: Insomnia: Medical Sleep Disorder & DiagnosisDDC classification:
  • 616.8498
LOC classification:
  • RC548 .H493 2017
Online resources:
Contents:
Insomnia: Medical Sleep Disorder &amp -- 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 &amp -- Filtered Wave -- 4.6 Estimation of power spectral density -- 4.7 Calculation of normalized power -- Chapter 5: Conclusion -- Future Scope -- References.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Insomnia: Medical Sleep Disorder &amp -- 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 &amp -- Filtered Wave -- 4.6 Estimation of power spectral density -- 4.7 Calculation of normalized power -- Chapter 5: Conclusion -- Future Scope -- References.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.

© 2024 Resource Centre. All rights reserved.