using NeuroAnalyzer
eeg = load("files/eeg.hdf");[ Info: Loaded: EEG (24 × 308480 × 1; 1204.996 s)NeuroAnalyzer tutorials: Analyze EEG (1)
Load data:
Any analysis data (e.g. ICA, PCA) can be stored within the NeuroAnalyzer object as a component.
For more details, see add_component(), list_component(), delete_component(), rename_component(), component_type(), extract_component().
(!) All components are removed from the object when the signal data is altered in any way (e.g. channel removal, filtering).
(!) All components are saved together with the signal data when using the native NeuroAnalyzer format (HDF5).
Add component:
e = epoch_stats(eeg)
add_component!(eeg, c=:epoch_mean, v=e[1])Show components:
list_component(eeg)Get component type:
component_type(eeg, c=:epoch_mean)Vector{Float64} (alias for Array{Float64, 1})
Get data of the embedded component:
extract_component(eeg, c=:epoch_mean)1-element Vector{Float64}:
0.07735638622613686Delete component:
delete_component(eeg, c=:epoch_mean)NeuroAnalyzer.NEURO(NeuroAnalyzer.HEADER(Dict{Symbol, Any}(:weight => -1, :id => "", :middle_name => "", :height => -1, :head_circumference => -1, :handedness => "", :last_name => "528004 SIT 52, 20220831-122227-{d589f756-53fc-4f1b-915d-6e3b8c1560ad}", :first_name => ""), Dict{Symbol, Any}(:epoch_id => "", :channel_type => ["eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg" … "eeg", "eeg", "ref", "ref", "eeg", "eeg", "eeg", "eog", "eog", "ecg"], :label => ["Fp1", "Fp2", "F3", "F4", "C3", "C4", "P3", "P4", "O1", "O2" … "T5", "T6", "A1", "A2", "Fz", "Cz", "Pz", "EOG1", "EOG2", "ECG"], :prefiltering => ["HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz" … "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz"], :gain => [0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218 … 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218], :data_type => "eeg", :recording_notes => "", :recording_date => "31.08.22", :sampling_rate => 256, :file_type => "EDF"…), Dict(:name => "", :design => "", :notes => "")), [0.0, 0.004, 0.008, 0.012, 0.016, 0.02, 0.023, 0.027, 0.031, 0.035 … 1204.961, 1204.965, 1204.969, 1204.973, 1204.977, 1204.98, 1204.984, 1204.988, 1204.992, 1204.996], [0.0, 0.004, 0.008, 0.012, 0.016, 0.02, 0.023, 0.027, 0.031, 0.035 … 1204.961, 1204.965, 1204.969, 1204.973, 1204.977, 1204.98, 1204.984, 1204.988, 1204.992, 1204.996], [0.06299352498755795 98.63512726760528 … -3.1830986460670267 0.0006574697346035663; 0.11655563660927726 -53.828853350413745 … 2.690060794085174 0.0004150149321296981; … ; -0.022184604323419066 127.03733086748798 … -0.6385598239986807 0.0008236881401195717; -0.055585528301492104 530.00037195304 … -8.80813398237423 0.0018241535887852933;;;], Dict{Any, Any}(), 0×5 DataFrame
Row │ id start length description channel
│ String Float64 Float64 String Int64
─────┴────────────────────────────────────────────────, 23×9 DataFrame
Row │ label loc_radius loc_theta loc_x loc_y loc_z loc_radius_sp ⋯
│ String Float64 Float64 Float64 Float64 Float64 Float64 ⋯
─────┼──────────────────────────────────────────────────────────────────────────
1 │ Fp1 1.0 108.0 -0.31 0.95 -0.03 1.0 ⋯
2 │ Fp2 1.0 72.0 0.31 0.95 -0.03 1.0
3 │ F7 1.0 144.0 -0.81 0.59 -0.03 1.0
4 │ F3 0.65 129.0 -0.55 0.67 0.5 1.0
5 │ Fz 0.51 90.0 0.0 0.72 0.7 1.0 ⋯
6 │ F4 0.65 51.0 0.55 0.67 0.5 1.0
7 │ F8 1.0 36.0 0.81 0.59 -0.03 1.0
8 │ T3 1.0 180.0 -1.0 0.0 -0.03 1.0
9 │ C3 0.51 180.0 -0.72 0.0 0.7 1.0 ⋯
10 │ Cz 0.0 0.0 0.0 0.0 1.0 1.0
11 │ C4 0.51 0.0 0.72 0.0 0.7 1.0
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱
14 │ P3 0.65 231.0 -0.55 -0.67 0.5 1.0
15 │ Pz 0.51 270.0 0.0 -0.72 0.7 1.0 ⋯
16 │ P4 0.65 309.0 0.55 -0.67 0.5 1.0
17 │ T6 1.0 324.0 0.81 -0.59 -0.03 1.0
18 │ O1 1.0 252.0 -0.31 -0.95 -0.03 1.0
19 │ O2 1.0 288.0 0.31 -0.95 -0.03 1.0 ⋯
20 │ A1 1.0 192.0 -0.92 -0.23 -0.55 1.1
21 │ A2 1.0 -12.0 0.92 -0.23 -0.55 1.1
22 │ EOG1 1.01 149.0 -0.87 0.51 -0.37 1.0
23 │ EOG2 1.01 31.0 0.87 0.51 -0.37 1.0 ⋯
3 columns and 2 rows omitted, ["reset_components(OBJ)", "filter(OBJ, ch=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], fprototype=iirnotch, ftype=nothing, cutoff=50, order=8, rp=-1, rs=-1, dir=twopass, w=nothing)", "reset_components(OBJ)", "filter(OBJ, ch=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], fprototype=fir, ftype=hp, cutoff=0.1, order=8, rp=-1, rs=-1, dir=twopass, w=nothing)", "add_component(OBJ, c=epoch_mean, v", "delete_component(OBJ, c=epoch_mean)"])
Delete all components:
reset_components(eeg)NeuroAnalyzer.NEURO(NeuroAnalyzer.HEADER(Dict{Symbol, Any}(:weight => -1, :id => "", :middle_name => "", :height => -1, :head_circumference => -1, :handedness => "", :last_name => "528004 SIT 52, 20220831-122227-{d589f756-53fc-4f1b-915d-6e3b8c1560ad}", :first_name => ""), Dict{Symbol, Any}(:epoch_id => "", :channel_type => ["eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg", "eeg" … "eeg", "eeg", "ref", "ref", "eeg", "eeg", "eeg", "eog", "eog", "ecg"], :label => ["Fp1", "Fp2", "F3", "F4", "C3", "C4", "P3", "P4", "O1", "O2" … "T5", "T6", "A1", "A2", "Fz", "Cz", "Pz", "EOG1", "EOG2", "ECG"], :prefiltering => ["HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz" … "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz", "HP:0,18Hz LP:104,0Hz"], :gain => [0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218 … 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218, 0.17935713740749218], :data_type => "eeg", :recording_notes => "", :recording_date => "31.08.22", :sampling_rate => 256, :file_type => "EDF"…), Dict(:name => "", :design => "", :notes => "")), [0.0, 0.004, 0.008, 0.012, 0.016, 0.02, 0.023, 0.027, 0.031, 0.035 … 1204.961, 1204.965, 1204.969, 1204.973, 1204.977, 1204.98, 1204.984, 1204.988, 1204.992, 1204.996], [0.0, 0.004, 0.008, 0.012, 0.016, 0.02, 0.023, 0.027, 0.031, 0.035 … 1204.961, 1204.965, 1204.969, 1204.973, 1204.977, 1204.98, 1204.984, 1204.988, 1204.992, 1204.996], [0.06299352498755795 98.63512726760528 … -3.1830986460670267 0.0006574697346035663; 0.11655563660927726 -53.828853350413745 … 2.690060794085174 0.0004150149321296981; … ; -0.022184604323419066 127.03733086748798 … -0.6385598239986807 0.0008236881401195717; -0.055585528301492104 530.00037195304 … -8.80813398237423 0.0018241535887852933;;;], Dict{Any, Any}(), 0×5 DataFrame
Row │ id start length description channel
│ String Float64 Float64 String Int64
─────┴────────────────────────────────────────────────, 23×9 DataFrame
Row │ label loc_radius loc_theta loc_x loc_y loc_z loc_radius_sp ⋯
│ String Float64 Float64 Float64 Float64 Float64 Float64 ⋯
─────┼──────────────────────────────────────────────────────────────────────────
1 │ Fp1 1.0 108.0 -0.31 0.95 -0.03 1.0 ⋯
2 │ Fp2 1.0 72.0 0.31 0.95 -0.03 1.0
3 │ F7 1.0 144.0 -0.81 0.59 -0.03 1.0
4 │ F3 0.65 129.0 -0.55 0.67 0.5 1.0
5 │ Fz 0.51 90.0 0.0 0.72 0.7 1.0 ⋯
6 │ F4 0.65 51.0 0.55 0.67 0.5 1.0
7 │ F8 1.0 36.0 0.81 0.59 -0.03 1.0
8 │ T3 1.0 180.0 -1.0 0.0 -0.03 1.0
9 │ C3 0.51 180.0 -0.72 0.0 0.7 1.0 ⋯
10 │ Cz 0.0 0.0 0.0 0.0 1.0 1.0
11 │ C4 0.51 0.0 0.72 0.0 0.7 1.0
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱
14 │ P3 0.65 231.0 -0.55 -0.67 0.5 1.0
15 │ Pz 0.51 270.0 0.0 -0.72 0.7 1.0 ⋯
16 │ P4 0.65 309.0 0.55 -0.67 0.5 1.0
17 │ T6 1.0 324.0 0.81 -0.59 -0.03 1.0
18 │ O1 1.0 252.0 -0.31 -0.95 -0.03 1.0
19 │ O2 1.0 288.0 0.31 -0.95 -0.03 1.0 ⋯
20 │ A1 1.0 192.0 -0.92 -0.23 -0.55 1.1
21 │ A2 1.0 -12.0 0.92 -0.23 -0.55 1.1
22 │ EOG1 1.01 149.0 -0.87 0.51 -0.37 1.0
23 │ EOG2 1.01 31.0 0.87 0.51 -0.37 1.0 ⋯
3 columns and 2 rows omitted, ["reset_components(OBJ)", "filter(OBJ, ch=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], fprototype=iirnotch, ftype=nothing, cutoff=50, order=8, rp=-1, rs=-1, dir=twopass, w=nothing)", "reset_components(OBJ)", "filter(OBJ, ch=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], fprototype=fir, ftype=hp, cutoff=0.1, order=8, rp=-1, rs=-1, dir=twopass, w=nothing)", "add_component(OBJ, c=epoch_mean, v", "reset_components(OBJ)"])