Cosinor method2525. Nelson W, Tong YL, Lee JK, Halberg F. Methods for cosinor-rhythmometry. Chronobiologia. 1979;6:305-23.
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MESOR |
Mean estimated statistic over rhythm. |
Higher values indicate greater activity. |
Amplitude |
Difference between the highest value and the MESOR. |
Higher values indicate greater activity. |
Acrophase |
Highest phase point. |
The higher the value, the later the individual has his/her peak activity. |
Rhythmic percentage (V%) |
The degree of fit of the rest-activity rhythm to the cosine curve. In other words, it is the proportion of the overall variance accounted for by the fitted model. |
The higher the value, the more rhythmic the individual. |
Nonparametric method2626. Gonçalves BSB, Adamowicz T, Louzada FM, Moreno CR, Araujo JF. A fresh look at the use of nonparametric analysis in actimetry. Sleep Med Rev. 2015;20:84-91.
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L5
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Average activity of the 5 continuous least active hours. |
Higher values indicate agitation during sleep. |
M10
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Average activity of the 10 continuous most active hours. |
The higher the value, the more active the individual during wakefulness. |
RA |
The difference between M10 and L5, divided by the sum of M10 and L5. |
Higher values indicate a greater discrepancy in the intensity of activity between the periods of wakefulness and sleep, representing a more expressive rhythm. |
IS |
Stability of the rhythm over days. |
The higher the values, the more stable the rhythm across the days. |
IV |
A proxy of fragmentation of the rhythm. |
The higher the value, the more fragmented the rhythm. |
Other variables2727. Ortiz-Tudela E, Martinez-Nicolas A, Campos M, Rol MA, Madrid JA. A new integrated variable based on thermometry, actimetry and body position (TAP) to evaluate circadian system status in humans. PLoS Comput Biol. 2010;6:e1000996.
28. Phillips AJK, Clerx WM, O’Brien CS, Sano A, Barger LK, Picard RW, et al. Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing. Sci Rep. 2017;7:3216.-2929. Lim ASP, Yu L, Costa MD, Buchman AS, Bennett DA, Leurgans SE, et al. Quantification of the fragmentation of rest-activity patterns in elderly individuals using a state transition analysis. Sleep. 2011;34:1569-81.
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AUCActivity
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Area under the curve of the amount of activity over 24 hours. |
Higher values indicate greater activity over 24 hours. |
% AUC4h
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Amount of activity 4 hours before sleep onset. This parameter is associated to difficulties in sleep onset (i.e., increased sleep latency). |
Higher values indicate greater agitation before sleep, that is, greater difficulty falling asleep. |
% AUCSleep
|
The amount of activity between sleep onset and offset, i.e., the amount of activity during sleep. |
Higher values indicate agitation during sleep. |
CVAON |
Variation in time to awakening. |
Higher values indicate that individuals wake up at different times throughout the days. |
CVAOF |
Variation in time to fall asleep. |
Higher values indicate that individuals fall asleep at different times throughout the days. |
CFI |
Overall measure to assess the robustness of the rest-activity rhythm. CFI incorporates three parameters: IV, IS and RA. |
Higher values indicate a more robust rhythm, i.e., the higher, the better the rest-activity rhythm. |
SRI |
Regularity of sleeping and waking times throughout the days. |
Higher values indicate that the individual sleeps and wakes up at the same times throughout the days. |
fSoD |
Fractional volume of epochs identified as sleep over daytime, using Cole-Kripke sleep-wake scoring algorithm. |
Higher values indicate greater presence of sleep during the day. |
Transition probability to awake once in sustained sleep (kRA) |
Used to quantify the probability to transition from a rest state to an active state. This provides a quantification of the sleep fragmentation. |
The higher the value, the greater the possibility of waking up from sleep (i.e., sleep fragmentation). |