Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods

Joint Authors

Phillips, Christophe
Coppieters ’t Wallant, Dorothée
Maquet, Pierre

Source

Neural Plasticity

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-07-11

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Biology
Medicine

Abstract EN

Sleep spindle is a peculiar oscillatory brain pattern which has been associated with a number of sleep (isolation from exteroceptive stimuli, memory consolidation) and individual characteristics (intellectual quotient).

Oddly enough, the definition of a spindle is both incomplete and restrictive.

In consequence, there is no consensus about how to detect spindles.

Visual scoring is cumbersome and user dependent.

To analyze spindle activity in a more robust way, automatic sleep spindle detection methods are essential.

Various algorithms were developed, depending on individual research interest, which hampers direct comparisons and meta-analyses.

In this review, sleep spindle is first defined physically and topographically.

From this general description, we tentatively extract the main characteristics to be detected and analyzed.

A nonexhaustive list of automatic spindle detection methods is provided along with a description of their main processing principles.

Finally, we propose a technique to assess the detection methods in a robust and comparable way.

American Psychological Association (APA)

Coppieters ’t Wallant, Dorothée& Maquet, Pierre& Phillips, Christophe. 2016. Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods. Neural Plasticity،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1113240

Modern Language Association (MLA)

Coppieters ’t Wallant, Dorothée…[et al.]. Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods. Neural Plasticity No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1113240

American Medical Association (AMA)

Coppieters ’t Wallant, Dorothée& Maquet, Pierre& Phillips, Christophe. Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods. Neural Plasticity. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1113240

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1113240