Automatic Seizure Detection Using Multi-Input Deep Feature Learning Networks for EEG Signals

Table 1

The information of the CHB-MIT database.

Patients	Gender age	Number of seizures (Tmin–Tmax) (s)	Total seizure time (s)	Total seizure-free time (s)
1	F-11	7 (28–102)	449	23,475
2	M-11	3 (10–83)	175	7,983
3	F-14	7 (48–70)	409	24,791
4	M-22	4 (49–116)	378	37,976
5	F-7	5 (97–121)	563	17,437
6	F-1.5	9 (13–21)	147	93,051
7	F-14.5	3 (87–144)	328	32,208
8	M-3.5	5 (135–265)	924	17,076
9	F-10	4 (63–80)	280	34,218
10	M-3	7 (36–90)	454	50,008
11	F-12	3 (23–753)	809	9,249
12	F-2	27 (14–98)	1,016	33,844
13	F-3	12 (18–71)	547	28,253
14	F-9	8 (15–42)	117	25,023
17	F-12	3 (89–116)	296	10,528
18	F-18	6 (31–69)	323	19,951
19	F-19	3 (78–82)	239	10,307
20	F-6	8 (30–50)	302	19,732
21	F-13	4 (13–82)	203	13,587
22	F-9	3 (59–75)	207	10,593
23	F-6	7 (21–114)	431	31,823
24	NR-NR	16 (17–71)	527	42,673