Currently, ECoG functionality is very limited.
Load ECoG data:
using MAT
file_name = "bp_mot_t_h.mat"
dataset = matread(file_name)
data = Float64.(reshape(dataset["data"]', 47, :, 1)) # channels must be by rows
ecog = create(data_type="ecog")
add_channel!(ecog, data=data, type=repeat(["ecog"], 47), unit=repeat(["µV"], 47))
create_time!(ecog, fs=1000) # the dataset sampling rate is 1000 HzShow signal details:
info(ecog)Output:
Data type: ECOG
File format:
Source file:
File size [MB]: 0
Memory size [MB]: 140.72
Subject:
Recording:
Recording notes:
Recording date:
Recording time:
Sampling rate (Hz): 1000
Signal length [samples]: 376400
Signal length [seconds]: 376.4
Number of channels: 47
Number of epochs: 1
Epoch length [samples]: 376400
Epoch length [seconds]: 376.4
Labels: yes
Markers: no
Channel locations: no
Components: no
Channels:
ch label type unit
1 1 ECOG µV
2 2 ECOG µV
3 3 ECOG µV
4 4 ECOG µV
5 5 ECOG µV
6 6 ECOG µV
7 7 ECOG µV
8 8 ECOG µV
9 9 ECOG µV
10 10 ECOG µV
11 11 ECOG µV
12 12 ECOG µV
13 13 ECOG µV
14 14 ECOG µV
15 15 ECOG µV
16 16 ECOG µV
17 17 ECOG µV
18 18 ECOG µV
19 19 ECOG µV
20 20 ECOG µV
21 21 ECOG µV
22 22 ECOG µV
23 23 ECOG µV
24 24 ECOG µV
25 25 ECOG µV
26 26 ECOG µV
27 27 ECOG µV
28 28 ECOG µV
29 29 ECOG µV
30 30 ECOG µV
31 31 ECOG µV
32 32 ECOG µV
33 33 ECOG µV
34 34 ECOG µV
35 35 ECOG µV
36 36 ECOG µV
37 37 ECOG µV
38 38 ECOG µV
39 39 ECOG µV
40 40 ECOG µV
41 41 ECOG µV
42 42 ECOG µV
43 43 ECOG µV
44 44 ECOG µV
45 45 ECOG µV
46 46 ECOG µV
47 47 ECOG µVPlot signal:
p = NeuroAnalyzer.plot(ecog)
plot_save(p, file_name="images/ecog.png")