bands_power

A list of bands to compute with lower and upper limits in the form `list(c(0,4),c(4,8))``

bands

signal

sRate

broadband

`bands_power` calculates power spectral densities estimates using Welch's method on bands. Bands are computed from spectrogram bands equal or greater than lower limit and inferior to the upper limit.

Provides users functions for sleep data management and analysis such as European Data Format (EDF) to Morpheo Data Format (MDF) conversion: P.Bouchequet, D.Jin, G.Solelhac, M.Chennaoui, D.Leger (2018) <doi:10.1016/j.msom.2018.01.130> "Morpheo Data Format (MDF), un nouveau format de donnees simple, robuste et performant pour stocker et analyser les enregistrements de sommeil". Provides hypnogram statistics computing and visualisation functions from the American Academy of Sleep Medicine (AASM) manual "The AASM Manual for the Scoring of Sleep and Associated Events" <https://aasm.org/clinical-resources/scoring-manual/>.

Paul Bouchequet

rsleep

Analysis of Sleep Data

bands_power function

<dl><dt>bands</dt>
<dd>A list of bands to compute with lower and upper limits in the form `list(c(0,4),c(4,8))``</dd>
<dt>signal</dt>
<dd>Numerical vector of the signal.</dd>
<dt>sRate</dt>
<dd>Signal sample rate in Hertz.</dd>
<dt>broadband</dt>
<dd>The broadband to normalize by.</dd></dl>

Arguments

Computes spectral power of bands listed in the bands argument. — bands_power

<dl>

<dt>bands</dt>
<dd>A list of bands to compute with lower and upper limits in the form `list(c(0,4),c(4,8))``</dd>


<dt>signal</dt>
<dd>Numerical vector of the signal.</dd>


<dt>sRate</dt>
<dd>Signal sample rate in Hertz.</dd>


<dt>broadband</dt>
<dd>The broadband to normalize by.</dd>

</dl>

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bands_power: Computes spectral power of bands listed in the bands argument.

Description

Usage

Value

Arguments

Examples