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

Table 2

The attributes used in the classification.

Number	Signal	Feature
1	C3-A2	Delta
2	C3-A2	Theta
3	C3-A2	Alpha
4	C3-A2	Beta
5	C3-A2	Zero crossings
6	C3-A2	Mean
7	C3-A2	Mean power spectrum
8	C3-A2	RMS
9	C3-A2	Spectral entropy
10	C4-A1	Delta
11	C4-A1	Theta
12	C4-A1	Alpha
13	C4-A1	Beta
14	C4-A1	Zero crossings
15	C4-A1	Mean
16	C4-A1	Mean power spectrum
17	C4-A1	RMS
18	C4-A1	Spectral entropy
19	F3-A2	Delta
20	F3-A2	Theta
21	F3-A2	Alpha
22	F3-A2	Beta
23	F3-A2	Zero crossings
24	F3-A2	Mean
25	F3-A2	Mean power spectrum
26	F3-A2	RMS
27	F3-A2	Spectral entropy
28	F4-A1	Delta
29	F4-A1	Theta
30	F4-A1	Alpha
31	F4-A1	Beta
32	F4-A1	Zero crossings
33	F4-A1	Mean
34	F4-A1	Mean power spectrum
35	F4-A1	RMS
36	F4-A1	Spectral entropy
37	O1-A2	Delta
38	O1-A2	Theta
39	O1-A2	Alpha
40	O1-A2	Beta
41	O1-A2	Zero crossings
42	O1-A2	Mean
43	O1-A2	Mean power spectrum
44	O1-A2	RMS
45	O1-A2	Spectral entropy
46	O2-A1	Delta
47	O2-A1	Theta
48	O2-A1	Alpha
49	O2-A1	Beta
50	O2-A1	Zero crossings
51	O2-A1	Mean
52	O2-A1	Mean power spectrum
53	O2-A1	RMS
54	O2-A1	Spectral entropy
55	Airflow	Apnea
56	EEG	Sleep stage
57	Abdo	RMS
58	Airflow	RMS
59	Position	Position
60	ECG	Zero crossings
61	ECG	Mean
62	ECG	Mean power spectrum
63	ECG	RMS
64	ECG	Spectral entropy
65	Chin EMG	Zero crossings
66	Chin EMG	Mean
67	Chin EMG	Mean power spectrum
68	Chin EMG	RMS
69	Chin EMG	Spectral entropy
70	HR	Heart rate
71	LOC	RMS
72	ROC	RMS
73	Sound	RMS
74	SpO2	Desaturation
75	SpO2	Lowest SpO2
76	SpO2	RMS
77	Thor	RMS