A computerized analysis system for vigilance studies

Alpo Värri; Kari Hirvonen; Joel Hasan; Pekka Loula; Veikko Häkkinen

doi:10.1016/0169-2607(92)90064-E

A computerized analysis system for vigilance studies

Alpo Värri (Corresponding Author), Kari Hirvonen, Joel Hasan, Pekka Loula, Veikko Häkkinen

VTT Technical Research Centre of Finland

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

27 Citations (Scopus)

Abstract

A digital signal analysis system for vigilance studies is presented. The analysis is based on adaptive segmentation, band pass filtering, nonlinear eye movement detection and rule-based decision making. A preliminary evaluation of seven subjects falling asleep showed that the system is able to detect small vigilance fluctuations reliably.

Original language	English
Pages (from-to)	113-124
Journal	Computer Methods and Programs in Biomedicine
Volume	39
Issue number	1-2
DOIs	https://doi.org/10.1016/0169-2607(92)90064-E
Publication status	Published - 1992
MoE publication type	A1 Journal article-refereed

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10.1016/0169-2607(92)90064-E

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title = "A computerized analysis system for vigilance studies",

abstract = "A digital signal analysis system for vigilance studies is presented. The analysis is based on adaptive segmentation, band pass filtering, nonlinear eye movement detection and rule-based decision making. A preliminary evaluation of seven subjects falling asleep showed that the system is able to detect small vigilance fluctuations reliably.",

author = "Alpo V{\"a}rri and Kari Hirvonen and Joel Hasan and Pekka Loula and Veikko H{\"a}kkinen",

note = "Project code: SAI2030",

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AU - Värri, Alpo

AU - Hirvonen, Kari

AU - Hasan, Joel

AU - Loula, Pekka

AU - Häkkinen, Veikko

N1 - Project code: SAI2030

PY - 1992

Y1 - 1992

N2 - A digital signal analysis system for vigilance studies is presented. The analysis is based on adaptive segmentation, band pass filtering, nonlinear eye movement detection and rule-based decision making. A preliminary evaluation of seven subjects falling asleep showed that the system is able to detect small vigilance fluctuations reliably.

AB - A digital signal analysis system for vigilance studies is presented. The analysis is based on adaptive segmentation, band pass filtering, nonlinear eye movement detection and rule-based decision making. A preliminary evaluation of seven subjects falling asleep showed that the system is able to detect small vigilance fluctuations reliably.

U2 - 10.1016/0169-2607(92)90064-E

DO - 10.1016/0169-2607(92)90064-E

M3 - Article

SN - 0169-2607

VL - 39

SP - 113

EP - 124

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

IS - 1-2

ER -

A computerized analysis system for vigilance studies

Abstract

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