actigraphy

A single-subject actigraphy dataset from the NHANES 2013–2014 study,
provided as an example for demonstrating the CircaCP workflow.

datasets

A generic sleep–wake cycle detection algorithm for analyzing unlabeled actigraphy data.
The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study,
and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>.
The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics
(e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality,
fitting cosinor models, and performing parametric change point detection.
The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.

Shanshan Chen

CircaCP

Sleep and Circadian Metrics Estimation from Actigraphy Data

Jonathon Jacobs

actigraphy function

A data frame with one row per recorded epoch and the following variables:<dl>
<dt>Date</dt>
<dd>Date of recording (synthetic or reconstructed from NHANES information).</dd><dt>Time</dt>
<dd>Time of day corresponding to each observation.</dd><dt>Lux</dt>
<dd>Light intensity.</dd><dt>SDLux</dt>
<dd>Short-term variability of light intensity.</dd><dt>MIMS</dt>
<dd>Activity magnitude calculated using the MIMS algorithm.</dd><dt>X</dt>
<dd>Raw or calibrated X-axis signal from the accelerometer.</dd><dt>Y</dt>
<dd>Raw or calibrated Y-axis signal from the accelerometer.</dd><dt>Z</dt>
<dd>Raw or calibrated Z-axis signal from the accelerometer.</dd>
</dl>

Format

Example Actigraphy Dataset — actigraphy

A data frame with one row per recorded epoch and the following variables:<dl>
<dt>Date</dt>
<dd>Date of recording (synthetic or reconstructed from NHANES information).</dd>

<dt>Time</dt>
<dd>Time of day corresponding to each observation.</dd>

<dt>Lux</dt>
<dd>Light intensity.</dd>

<dt>SDLux</dt>
<dd>Short-term variability of light intensity.</dd>

<dt>MIMS</dt>
<dd>Activity magnitude calculated using the MIMS algorithm.</dd>

<dt>X</dt>
<dd>Raw or calibrated X-axis signal from the accelerometer.</dd>

<dt>Y</dt>
<dd>Raw or calibrated Y-axis signal from the accelerometer.</dd>

<dt>Z</dt>
<dd>Raw or calibrated Z-axis signal from the accelerometer.</dd>


</dl>

actigraphy: Example Actigraphy Dataset

Description

Usage

Arguments

Format

Examples