pyActigraphy.io.BaseRaw.L5¶
- BaseRaw.L5(binarize=True, threshold=4)¶
Mean activity during the 5 least active hours of the day.
- Parameters
binarize (bool, optional) – If set to True, the data are binarized. Default is True.
threshold (int, optional) – If binarize is set to True, data above this threshold are set to 1 and to 0 otherwise. Default is 4.
- Returns
l5
- Return type
float
Notes
The L5 [1] variable is calculated as the mean, per acquisition period, of the average daily activities during the 5 least active hours.
Warning
The value of this variable depends on the length of the acquisition period.
References
- 1
Van Someren, E.J.W., Lijzenga, C., Mirmiran, M., Swaab, D.F. (1997). Long-Term Fitness Training Improves the Circadian Rest-Activity Rhythm in Healthy Elderly Males. Journal of Biological Rhythms, 12(2), 146–156. http://doi.org/10.1177/074873049701200206
Examples
>>> import pyActigraphy >>> rawAWD = pyActigraphy.io.read_raw_awd(fpath + 'SUBJECT_01.AWD') >>> rawAWD.L5() 0.XXXX >>> rawAWD.L5(binarize=False) 0.XXXX