Publication:

Automatic Sleep Classification with Machine Learning

Date

Date

Date
2018
Dissertation

Citations

Citation copied

Malafeev, A. (2018). Automatic Sleep Classification with Machine Learning. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-169907

Abstract

Abstract

Abstract

Sleep is ubiquitous in nature. Humans spend a third of their lives sleeping. And yet, despite all the recent advances in the field, we still don’t know the purpose of sleep. However, sleep disorders are detrimental for health and quality of life and insomnia is one of the most common sleep disorders. Excessive daytime sleepiness or insufficient sleep decreases cognitive performance and may cause accidents. These facts suggest that understanding sleep and its regulation is very important. In the first chapter I summarized the most rece

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1493 since deposited on 2019-03-27
Acq. date: 2025-11-13

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314 since deposited on 2019-03-27
Acq. date: 2025-11-13

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Additional indexing

Creators (Authors)

  • Malafeev, Alexander

Institution

Institution

Institution

Faculty

Faculty

Faculty
Faculty of Science

Item Type

Item Type

Item Type
Dissertation

Referees

  • Achermann, Peter
  • Martin, Kevan A C
  • König, Thomas

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2018

Date available

Date available

Date available
2019-03-27

Number of pages

Number of pages

Number of pages
188

OA Status

OA Status

OA Status
Green

Metrics

Downloads

1493 since deposited on 2019-03-27
Acq. date: 2025-11-13

Views

314 since deposited on 2019-03-27
Acq. date: 2025-11-13

Citations

Citations

Citation copied

Malafeev, A. (2018). Automatic Sleep Classification with Machine Learning. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-169907

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