NDLI: A remote deep sleep monitoring system based on a single channel for in-home insomnia diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Hamida, S.T.-B. Ahmed, B.
Copyright Year	2015
Description	Author affiliation: Electr. & Comput. Eng. Dept., Texas A&M Univ., Doha, Qatar (Hamida, S.T.-B.; Ahmed, B.)
Abstract	An efficient insomnia diagnosis and treatment requires the analysis of sleep stages and patterns in the vital signals and clinical face-to-face consultations. The measured signals are collected from different locations on the head and the body and used to evaluate the sleep quality and quantity. Generally, these measurements require spending several days of monitoring at sleep centers. However, the first night effect may cause perturbations to the control subjects and contrary to insomnia subjects who may sleep better because of the change of the sleep environment. Therefore, there is a great interest in developing non-invasive ambulatory physiological insomnia monitoring devices for in-home use. It has been shown in previous studies that the sleep quality can be evaluated based on the quantity of length of deep sleep particularly the slow wave sleep (SWS) periods. The aim of this paper is to present a new method to evaluate the deep sleep epochs using a single electrooculogram channel and to collect remotely the subjective data through sleep diaries.
Starting Page	1
Ending Page	2
File Size	633264
Page Count	2
File Format	PDF
e-ISBN	9781479987849
DOI	10.1109/NTMS.2015.7266469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Electrooculography Sleep insomnia diagnosis Feature extraction SWS sleep Biomedical monitoring Interviews in-home sleep monitoring Monitoring sleep diary
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal

Bluetooth Based Wireless Sleep Remote Monitoring System

Accurate automatic identification of slow wave sleep using a single electro-oculogram channel

Towards efficient and secure in-home wearable insomnia monitoring and diagnosis system

SleepAtHome - Portable Home Based System for Pediatric Sleep Apnoea Diagnosis

Computer based sleep staging: Challenges for the future

Efficacy of Single-Channel EEG: A Propitious Approach for In-home Sleep Monitoring

A user-friendly wearable single-channel EOG-based human-computer interface for cursor control

Sensors on Textile Substrates for Home-Based Healthcare Monitoring

A remote deep sleep monitoring system based on a single channel for in-home insomnia diagnosis

Similar Documents

EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal

Bluetooth Based Wireless Sleep Remote Monitoring System

Accurate automatic identification of slow wave sleep using a single electro-oculogram channel

Towards efficient and secure in-home wearable insomnia monitoring and diagnosis system

SleepAtHome - Portable Home Based System for Pediatric Sleep Apnoea Diagnosis

Computer based sleep staging: Challenges for the future

Efficacy of Single-Channel EEG: A Propitious Approach for In-home Sleep Monitoring

A user-friendly wearable single-channel EOG-based human-computer interface for cursor control

Sensors on Textile Substrates for Home-Based Healthcare Monitoring

A remote deep sleep monitoring system based on a single channel for in-home insomnia diagnosis