Detection of Periodic Leg Movements by Machine Learning Methods Using Polysomnographic Parameters Other Than Leg Electromyography

Table 1

General characteristics of the study group.

	Mean ± SD	Range
Age	61.48 ± 11.54	32–94
Gender, M/F, number	112/41	73%/27%
Weight, kg	93.92 ± 20.19	47–195
Height, cm	170.90 ± 8.57	150–192
ESS	17.59 ± 28.40	0.5–247.5
Time in bed, min	419.85 ± 53.08	189.80–545.40
Total sleep time, min	343.03 ± 73.19	60.5–475
Sleep efficiency, %	82 ± 14	29–98
N1, % of SPT	6 ± 4	1–33
N2, % of SPT	63 ± 14	29–94
N3, % of SPT	18 ± 12	0–55
REM, % of SPT	14 ± 7	0–38
AHI	5.19 ± 7.54	0–77.3
Total number of apnea	25.63 ± 19.92	0–101
Total number of obstructive apnea	23 ± 17.7	0–71
Total number of mixed apnea index	1.97 ± 3.78	0–23
Total number of hypopnea	19.58 ± 25.95	0–129
RDI	8.56 ± 8.75	0–66.7
REM RDI	8.92 ± 9.74	0–50.7
non-REM RDI	8.21 ± 9.01	0–66.7
Minimum oxygen saturation	84.88 ± 7.27	64–100
Saturation between 81% and 90%, min	40.80 ± 54.62	0–278.5
Number of leg movements/hour of sleep	66.86 ± 16.26	28–100

AHI, apnea-hypopnea index; ESS, Epworth Sleepiness Scale; F, female; M, male; SD, standard deviation; SPT, sleep period time; RDI, Respiratory Disturbance Index.