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Neural Network Model: Application to Automatic Analysis of Human Sleep

Abstract : We describe an approach to automatic all-night sleep analysis based on neural network models and simulated on a digital computer. First, automatic sleep stage scoring was performed using a multilayer feedforward network. Second, supervision of the automatic decision was achieved using ambiguity rejection and artifact rejection. Then, numerical analysis of sleep was carried out using all-night spectral analysis for the background activity of the EEG and sleep pattern detectors for the transient activity. Computerized analysis of sleep recordings may be considered as an essential tool to describe the sleep process and to reflect the dynamical organization of human sleep.
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https://hal-utt.archives-ouvertes.fr/hal-02861434
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, June 9, 2020 - 7:15:56 AM
Last modification on : Wednesday, June 10, 2020 - 3:01:43 AM

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Nicolas Schaltenbrand, Régis Lengellé, Jean-Paul Macher. Neural Network Model: Application to Automatic Analysis of Human Sleep. Computers and Biomedical Research, Elsevier - Academic Press;Elsevier, 1993, 26 (2), pp.157-171. ⟨10.1006/cbmr.1993.1010⟩. ⟨hal-02861434⟩

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