Literature DB >> 15490821

Noncontact method for sleep stage estimation.

Takashi Watanabe1, Kajiro Watanabe.   

Abstract

This paper describes a novel method to estimate sleep stage through noninvasive and unrestrained means. The Rechtschaffen and Kales (R-K) method is a standard to estimate sleep stage. However, it involves restraining the examinee and, thus, induces psychological stress. Furthermore, it requires specialists with a high degree of technical expertise and the use of an expensive polygraph. The sleep estimation method presented here is based on the noninvasive and unrestrained pneumatic biomeasurement method presented by the authors. Sleep stage transition in overnight sleep and the relationship between sleep stage and biosignals measured using the pneumatic method was analyzed and from the results, a mathematical model of sleep was created. Based on this model, a sleep stage estimator, including a sleep stage classifier and observer, was designed. The sleep state transition equation was the basis for the design of this observer, while the observed relationships were the basis for designing a classifier. Agreement of the estimated sleep stages with those obtained using the R-K method for the non-REM stage was 82.6%, for the REM stage was 38.3 % and for Wake was 70.5 %, including disagreement. However, the new method might ultimately result in better estimation of sleep stage due to the fact that it does not physically restrain the patient and does not induce psychological stress.

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Year:  2004        PMID: 15490821     DOI: 10.1109/TBME.2004.828037

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  Estimation of sleep stages by an artificial neural network employing EEG, EMG and EOG.

Authors:  M Emin Tagluk; Necmettin Sezgin; Mehmet Akin
Journal:  J Med Syst       Date:  2009-04-08       Impact factor: 4.460

2.  Cardiopulmonary Coupling Analysis Using Home Sleep Monitoring System Based on Air Mattress.

Authors:  Jong-Uk Park; Erdenebayar Urtnasan; Eun-Yeon Joo; Kyoung-Joung Lee
Journal:  J Med Syst       Date:  2017-09-26       Impact factor: 4.460

3.  Noncontact Pressure-Based Sleep/Wake Discrimination.

Authors:  Lorcan Walsh; Sean McLoone; Joseph Ronda; Jeanne F Duffy; Charles A Czeisler
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-25       Impact factor: 4.538

4.  A new respiratory monitor system for four-dimensional computed tomography by measuring the pressure change on the back of body.

Authors:  Xianwen Zhang; Jintian Tang; Gregory C Sharp; Lei Xiao; Shouping Xu; Hsiao-Ming Lu
Journal:  Br J Radiol       Date:  2020-01-20       Impact factor: 3.039

5.  Theory and developments in an unobtrusive cardiovascular system representation: ballistocardiography.

Authors:  Eduardo Pinheiro; Octavian Postolache; Pedro Girão
Journal:  Open Biomed Eng J       Date:  2010-10-10

6.  Recent developments in home sleep-monitoring devices.

Authors:  Jessica M Kelly; Robert E Strecker; Matt T Bianchi
Journal:  ISRN Neurol       Date:  2012-10-14

7.  Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis.

Authors:  Xi Long; Reinder Haakma; Tim R M Leufkens; Pedro Fonseca; Ronald M Aarts
Journal:  Comput Intell Neurosci       Date:  2015-08-20

Review 8.  Sleep and Organizational Behavior: Implications for Workplace Productivity and Safety.

Authors:  June J Pilcher; Drew M Morris
Journal:  Front Psychol       Date:  2020-01-31
  8 in total

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