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Cole kripke algorithm

Manufactured by Ambulatory Monitoring
Sourced in United States

The Cole-Kripke algorithm is a mathematical model used for the analysis of sleep data. It is designed to detect and quantify various sleep stages, such as rapid eye movement (REM) sleep and non-REM sleep, based on physiological signals recorded during sleep.

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2 protocols using cole kripke algorithm

1

Actigraphy-based Sleep Assessment

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Sleep characteristics were measured using an actigraphy watch, the Octagonal Motionlogger Sleep Watch-L (Ambulatory Monitoring Inc, Ardsley, New York), for 2 consecutive nights during the time that salivary specimens were collected. It was worn on the participants’ nondominant wrist to derive movement-based estimates of sleep-wake characteristics. The actigraph unit was set to 1-minute epoch and zero-crossing mode. We used the Action W-2 software and the Cole-Kripke algorithm (Ambulatory Monitoring Inc, Ardsley, New York) to analyze the sleep data. A previous study has shown good reliability and validity with a reasonable sensitivity higher than 0.60 in polysomnography-actigraphy comparison.18 (link)
For sleep characteristics, time in bed, sleep efficiency (SE), wake after sleep onset (WASO), and mean wake episode during sleep (MWE) were obtained indicating total minutes in bed for nocturnal sleep, percentage of actual sleep at night, total wake minutes during nocturnal sleep, and mean duration of wakes during sleep, respectively. Average values of the 2 nights were used for all the sleep characteristics.
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2

Actigraphy-Derived Sleep Characteristics and Anxiety

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Sleep characteristics were measured using an actigraphy watch, the Octagonal Motionlogger Sleep Watch-L (Ambulatory Monitoring Inc, Ardsley, Increased anxiety may help people adjust to stressful situations by improving sleep quality.
New York), for 2 consecutive nights during the time that salivary specimens were collected. It was worn on the participants' nondominant wrist to derive movementbased estimates of sleep-wake characteristics. The actigraph unit was set to 1-minute epoch and zerocrossing mode. We used the Action W-2 software and the Cole-Kripke algorithm (Ambulatory Monitoring Inc, Ardsley, New York) to analyze the sleep data. A previous study has shown good reliability and validity with a reasonable sensitivity higher than 0.60 in polysomnography-actigraphy comparison. 18 For sleep characteristics, time in bed, sleep efficiency (SE), wake after sleep onset (WASO), and mean wake episode during sleep (MWE) were obtained indicating total minutes in bed for nocturnal sleep, percentage of actual sleep at night, total wake minutes during nocturnal sleep, and mean duration of wakes during sleep, respectively. Average values of the 2 nights were used for all the sleep characteristics.
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