A microcomputer-based sleep stage analyzer

Christine J. Goeller; Christopher M. Sinton

doi:10.1016/0169-2607(89)90087-4

A microcomputer-based sleep stage analyzer

Christine J. Goeller, Christopher M. Sinton

Internal Medicine

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

A microcomputer-based sleep stage analysis system for laboratory use is described. Rapid spectral analysis of the electroencephalogram (EEG) is achieved through hardware; subsequent analysis, including determination of the relative power in user-defined EEG frequency bands is provided through software. A decision matrix, based on standard sleep state analysis criteria, enables these spectral data, in conjunction with integrated electromyogram (EMG) power, to determine sleep stages. The system has been configured here to quantify standard sleep stages, but the algorithm can also identify, and provide information about, EEG states which are not easily classified according to earlier criteria used for visual classification of polygraphic records. This low-cost, user-friendly system thus achieves flexible, quantitative analysis of EEG and EMG signals.

Original language	English (US)
Pages (from-to)	31-36
Number of pages	6
Journal	Computer Methods and Programs in Biomedicine
Volume	29
Issue number	1
DOIs	https://doi.org/10.1016/0169-2607(89)90087-4
State	Published - May 1989

Keywords

Fast Fourier transform
Microcomputer
Power spectral analysis
Sleep stage analysis

ASJC Scopus subject areas

Software
Computer Science Applications
Health Informatics

Access to Document

10.1016/0169-2607(89)90087-4

Cite this

@article{d44cd6976d9742ef9dd0f6e73f73382a,

title = "A microcomputer-based sleep stage analyzer",

abstract = "A microcomputer-based sleep stage analysis system for laboratory use is described. Rapid spectral analysis of the electroencephalogram (EEG) is achieved through hardware; subsequent analysis, including determination of the relative power in user-defined EEG frequency bands is provided through software. A decision matrix, based on standard sleep state analysis criteria, enables these spectral data, in conjunction with integrated electromyogram (EMG) power, to determine sleep stages. The system has been configured here to quantify standard sleep stages, but the algorithm can also identify, and provide information about, EEG states which are not easily classified according to earlier criteria used for visual classification of polygraphic records. This low-cost, user-friendly system thus achieves flexible, quantitative analysis of EEG and EMG signals.",

keywords = "Fast Fourier transform, Microcomputer, Power spectral analysis, Sleep stage analysis",

author = "Goeller, {Christine J.} and Sinton, {Christopher M.}",

year = "1989",

month = may,

doi = "10.1016/0169-2607(89)90087-4",

language = "English (US)",

volume = "29",

pages = "31--36",

journal = "Computer Methods and Programs in Biomedicine",

issn = "0169-2607",

publisher = "Elsevier Ireland Ltd",

number = "1",

}

TY - JOUR

T1 - A microcomputer-based sleep stage analyzer

AU - Goeller, Christine J.

AU - Sinton, Christopher M.

PY - 1989/5

Y1 - 1989/5

N2 - A microcomputer-based sleep stage analysis system for laboratory use is described. Rapid spectral analysis of the electroencephalogram (EEG) is achieved through hardware; subsequent analysis, including determination of the relative power in user-defined EEG frequency bands is provided through software. A decision matrix, based on standard sleep state analysis criteria, enables these spectral data, in conjunction with integrated electromyogram (EMG) power, to determine sleep stages. The system has been configured here to quantify standard sleep stages, but the algorithm can also identify, and provide information about, EEG states which are not easily classified according to earlier criteria used for visual classification of polygraphic records. This low-cost, user-friendly system thus achieves flexible, quantitative analysis of EEG and EMG signals.

AB - A microcomputer-based sleep stage analysis system for laboratory use is described. Rapid spectral analysis of the electroencephalogram (EEG) is achieved through hardware; subsequent analysis, including determination of the relative power in user-defined EEG frequency bands is provided through software. A decision matrix, based on standard sleep state analysis criteria, enables these spectral data, in conjunction with integrated electromyogram (EMG) power, to determine sleep stages. The system has been configured here to quantify standard sleep stages, but the algorithm can also identify, and provide information about, EEG states which are not easily classified according to earlier criteria used for visual classification of polygraphic records. This low-cost, user-friendly system thus achieves flexible, quantitative analysis of EEG and EMG signals.

KW - Fast Fourier transform

KW - Microcomputer

KW - Power spectral analysis

KW - Sleep stage analysis

UR - http://www.scopus.com/inward/record.url?scp=0024673490&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024673490&partnerID=8YFLogxK

U2 - 10.1016/0169-2607(89)90087-4

DO - 10.1016/0169-2607(89)90087-4

M3 - Article

C2 - 2714077

AN - SCOPUS:0024673490

SN - 0169-2607

VL - 29

SP - 31

EP - 36

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

IS - 1

ER -

A microcomputer-based sleep stage analyzer

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this