Cho2017 or GigaDB

Ref: Cho et al. (2017)

1 Dataset Overview

FieldDetails
ModalityEEG + EMG
Paradigm/taskCued left/right-hand MI
Participants52 healthy
Channels64 EEG + 2 EMG
Sampling rate512 Hz
Classes/events2 classes
Sessions/runs1 session, 5 or 6 runs
Trials100 or 120 trials/class (200 or 240/participant)
Trial/epoch duration3 s MI period
Hardware/montageBioSemi ActiveTwo, CMS/DRL
active electrodes, standard_1005
BCI2000
LicenseCC BY 4.0
Data/sourceData
Paper
MOABBCho2017

Note: subjects 31, 45, and 48 are usually removed in the literature; the source paper’s own analysis used 8–30 Hz band-pass and 10-fold CV with 7/3 train/test splits.

1.1 Montage and Trial Paradigm


Source: Cho et al. (2017)


Source: Cho et al. (2017)

Random Chance Cho et al. (2017)

The literature showed that the upper confidence limits of chance with α = 5% were 70% (classification accuracy) in a 2-class prob- lem, with 10 trials for each class.

2 Results

2.1 Summary

2.1.1 Protocol-Unclear Benchmark Extract

The local extract from Chevallier et al. (2024) does not identify enough protocol detail to assign these results without guessing.

pipelineCho2017
ACM+TS+SVM73.56±14.54
CSP+LDA71.38±14.54
CSP+SVM71.92±14.25
DLCSPauto+shLDA71.16±14.53
DeepConvNet71.67±12.91
EEGITNet57.20±12.21
EEGNeX53.28±10.60
EEGNet-8,266.79±16.34
EEGTCNet58.34±12.63
FBCSP+SVM67.91±15.63
FgMDM72.90±12.70
LogVar+LDA64.49±10.08
LogVar+SVM65.46±11.71
MDM63.39±13.69
ShallowConvNet73.84±14.95
TRCSP+LDA71.85±13.84
TS+EL76.23±14.21
TS+LR75.01±13.71
TS+SVM74.62±14.19
Average68.47

2.2 Within-Session / Within-Subject

2.2.1 Cho Et Al. (2017) — 10-Fold Evaluation

The mean accuracy of all BCI performances (Fig. 4C) over the 50 subjects, excluding bad subjects (29 and 34), was 67.46% (±13.17%) in our datasets. Using Common Spatial Pattern (CSP) to extract 2 spatial filters as feature extraction method, and Fisher’s Linear Discriminant Analysis (FLDA) as classifier.
Source: Cho et al. (2017)

2.2.2 Kumar Et Al. (2019) — 10×10-Fold Cross-Validation

The source describes these results as subject-dependent 10×10-fold cross-validation misclassification rates. Cho2017 contains one recording session.

SubjectCSPDFBCSPSBLFBSFTOFSRCOPTICAL*OPTICAL
127.30 ± 12.9137.20 ± 9.5437.20 ± 9.8540.17 ± 10.6320.70 ± 8.3320.00 ± 9.37
249.00 ± 9.3150.20 ± 11.5644.10 ± 12.6558.33 ± 8.6445.70 ± 11.4747.67 ± 12.37
311.40 ± 6.7033.00 ± 10.158.40 ± 7.2511.50 ± 6.978.60 ± 6.156.00 ± 5.78
439.10 ± 9.4149.40 ± 13.4619.40 ± 8.8420.83 ± 10.9924.10 ± 8.6722.00 ± 10.05
51.00 ± 2.021.30 ± 2.221.00 ± 2.020.50 ± 1.530.90 ± 1.941.00 ± 2.03
620.20 ± 9.3120.20 ± 8.0217.50 ± 8.1620.67 ± 6.4016.60 ± 7.6617.67 ± 7.74
750.42 ± 7.6854.67 ± 10.0245.17 ± 8.9648.33 ± 10.9247.75 ± 11.3347.22 ± 7.92
849.60 ± 11.2055.00 ± 11.7853.90 ± 11.9758.00 ± 9.4343.80 ± 11.4544.33 ± 11.65
949.50 ± 9.7749.42 ± 11.6744.33 ± 9.9244.44 ± 9.7543.75 ± 10.9543.60 ± 10.07
1042.70 ± 11.6258.30 ± 8.8436.40 ± 10.0548.00 ± 9.0630.90 ± 11.7727.00 ± 10.31
1145.80 ± 9.5541.70 ± 9.9849.80 ± 10.1545.33 ± 7.9849.30 ± 11.2042.67 ± 9.89
1231.00 ± 9.8542.30 ± 8.8237.40 ± 10.2645.00 ± 10.5134.50 ± 10.6132.83 ± 8.97
1311.10 ± 5.9246.30 ± 9.5711.50 ± 8.0318.33 ± 8.6414.60 ± 7.7515.50 ± 8.24
144.80 ± 4.2835.60 ± 10.635.20 ± 5.346.17 ± 5.204.70 ± 4.563.50 ± 3.51
1549.90 ± 10.4751.80 ± 11.9433.20 ± 11.7748.83 ± 13.7543.00 ± 14.2935.33 ± 11.29
1651.50 ± 11.9248.30 ± 11.0051.60 ± 10.0251.33 ± 10.2552.10 ± 10.2652.50 ± 11.89
1751.80 ± 8.6848.80 ± 9.8847.20 ± 10.7947.50 ± 10.0650.20 ± 12.7850.33 ± 9.46
1849.00 ± 11.6151.90 ± 12.8141.10 ± 11.3150.83 ± 9.8349.30 ± 8.7546.67 ± 8.34
1945.50 ± 11.3540.20 ± 9.2035.40 ± 10.6447.00 ± 12.3642.90 ± 10.7942.83 ± 9.16
2036.20 ± 9.6142.70 ± 11.8348.70 ± 10.7347.17 ± 11.1228.30 ± 10.6727.17 ± 10.14
2145.70 ± 11.2538.30 ± 10.5335.20 ± 10.8340.33 ± 9.7340.20 ± 10.1534.00 ± 11.33
2245.70 ± 10.9345.70 ± 9.6943.40 ± 11.7144.00 ± 11.3346.60 ± 9.7141.33 ± 10.08
2332.60 ± 9.7532.50 ± 10.6625.40 ± 7.0624.17 ± 9.1119.80 ± 9.1515.83 ± 8.31
2453.30 ± 11.4154.50 ± 12.7149.40 ± 9.1850.50 ± 9.9446.90 ± 10.9739.33 ± 10.23
2556.70 ± 10.7253.00 ± 12.7846.90 ± 11.4747.67 ± 10.7349.00 ± 9.7447.00 ± 14.18
264.20 ± 4.214.30 ± 3.913.30 ± 3.735.00 ± 3.943.70 ± 4.023.17 ± 3.34
2752.50 ± 11.2144.90 ± 11.7251.00 ± 10.5046.50 ± 11.0057.00 ± 10.4055.33 ± 9.99
2820.30 ± 8.6024.80 ± 7.4921.00 ± 8.0824.17 ± 10.3519.50 ± 8.2819.17 ± 4.93
2954.80 ± 9.9553.00 ± 11.8757.70 ± 10.4652.00 ± 10.5556.30 ± 11.1557.00 ± 10.88
3044.00 ± 9.5347.80 ± 10.1640.70 ± 11.9545.67 ± 10.0644.80 ± 9.4244.50 ± 10.45
3145.00 ± 10.3552.90 ± 11.7838.20 ± 12.3238.33 ± 6.6138.60 ± 10.4537.67 ± 10.97
3249.60 ± 11.0152.00 ± 10.9351.60 ± 12.2749.17 ± 10.6749.60 ± 13.4749.43 ± 11.99
3348.90 ± 10.8045.90 ± 10.6346.20 ± 10.1851.67 ± 11.2447.20 ± 10.6044.33 ± 12.23
3444.10 ± 12.0246.40 ± 9.9545.60 ± 10.0345.83 ± 10.3542.70 ± 9.9642.00 ± 7.50
3518.90 ± 6.8723.30 ± 8.9627.70 ± 11.6625.33 ± 9.9118.40 ± 8.7218.17 ± 9.33
3647.30 ± 12.5046.70 ± 9.7244.90 ± 11.8548.67 ± 10.8233.70 ± 12.4930.50 ± 10.20
3726.60 ± 8.3026.90 ± 9.9426.00 ± 8.8129.00 ± 8.6523.80 ± 8.1223.00 ± 10.20
3853.40 ± 10.6651.10 ± 10.0251.70 ± 9.3553.00 ± 9.5252.40 ± 12.0951.50 ± 12.12
3928.60 ± 9.2641.50 ± 10.2229.80 ± 11.8237.00 ± 9.2528.20 ± 11.3327.00 ± 9.25
4048.60 ± 9.3247.50 ± 10.9953.10 ± 10.2547.17 ± 7.6248.40 ± 10.8148.83 ± 9.16
4125.70 ± 9.0410.40 ± 6.0519.60 ± 10.3927.50 ± 7.7415.90 ± 7.4714.67 ± 8.80
4256.00 ± 7.9557.00 ± 10.8351.00 ± 10.9754.50 ± 8.8451.10 ± 10.5151.67 ± 10.11
436.70 ± 5.313.80 ± 4.473.60 ± 4.522.00 ± 2.824.90 ± 4.794.17 ± 4.17
4410.60 ± 6.119.80 ± 6.5410.70 ± 6.4717.00 ± 8.378.40 ± 7.4510.83 ± 7.55
4546.20 ± 9.1849.20 ± 10.2749.40 ± 12.6055.50 ± 11.6245.70 ± 8.4547.50 ± 10.97
4630.58 ± 7.4635.58 ± 9.7224.92 ± 9.1631.81 ± 9.4424.67 ± 8.0725.42 ± 8.71
4727.10 ± 11.2125.10 ± 8.3629.10 ± 8.7930.83 ± 11.0722.00 ± 8.0225.83 ± 9.83
4844.00 ± 10.6911.80 ± 7.6819.00 ± 8.4530.00 ± 8.4135.30 ± 11.3121.83 ± 9.69
4910.50 ± 7.1613.00 ± 6.7010.40 ± 4.9312.50 ± 8.5913.70 ± 6.9112.50 ± 6.66
500.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.00
5150.40 ± 9.5243.10 ± 11.2947.10 ± 9.6945.67 ± 9.8947.90 ± 11.3946.83 ± 10.71
5242.50 ± 9.7549.60 ± 10.5939.50 ± 9.8143.00 ± 9.1540.10 ± 10.8638.17 ± 13.10
Average36.31 ± 9.1438.46 ± 9.6233.88 ± 9.3836.80 ± 9.0633.23 ± 9.3831.81 ± 9.06

Source: Kumar et al. (2019)

2.3 Online / Real-Time

2.3.1 Kumar Et Al. (2019) — Real-Time Simulation

The source reports a simulated three-class real-time implementation. Values are misclassification rates (%).

SubjectReal-time
115.00 ± 9.05
223.25 ± 4.26
32.75 ± 2.19
414.50 ± 5.50
50.75 ± 1.21
68.00 ± 6.32
731.67 ± 7.20
824.00 ± 4.28
927.50 ± 4.89
1014.25 ± 6.02
1126.00 ± 6.69
1215.75 ± 7.55
139.00 ± 2.93
141.50 ± 2.42
1518.25 ± 7.91
1626.75 ± 6.67
1724.00 ± 4.12
1824.00 ± 5.55
1922.25 ± 5.95
2012.00 ± 4.97
2116.75 ± 6.46
2220.75 ± 3.55
239.75 ± 3.22
2423.25 ± 5.14
2523.00 ± 4.97
261.50 ± 1.75
2728.50 ± 5.30
2812.00 ± 2.58
2931.25 ± 7.38
3022.25 ± 4.63
3121.00 ± 3.57
3224.75 ± 4.63
3324.25 ± 5.66
3424.50 ± 3.50
3510.00 ± 2.89
3619.50 ± 6.21
3713.50 ± 6.15
3833.50 ± 3.76
3920.00 ± 6.12
4031.00 ± 6.69
418.00 ± 2.30
4227.25 ± 6.06
432.50 ± 2.36
445.25 ± 3.22
4531.25 ± 8.76
4612.70 ± 5.05
4712.75 ± 5.46
4811.50 ± 5.80
4915.00 ± 6.12
500.00 ± 0.00
5127.00 ± 5.11
5219.00 ± 4.89
Average17.78 ± 4.90

Source: Kumar et al. (2019)

2.4 Cross-Subject

2.4.1 Rodrigues Et Al. (2019) — RPA Transfer Learning

Results from: Rodrigues et al. (2019)

DatasetNMEAN AUC - DCTMEAN AUC - RCTMEAN AUC - PRLMEAN AUC - OPTMEAN AUC - RPA
Cho201710.540.590.580.570.54
Cho201750.550.610.610.570.59
Cho2017100.550.620.620.570.62
Cho2017250.570.640.640.580.66

2.4.2 Ouahidi Et Al. (2024) — Cross-Subject Ablation Study

The paper explicitly states that this ablation is conducted under the cross-subject evaluation paradigm. The Online row is its simulated-online ablation variant.

Results from: Ouahidi et al. (2024)

PipelineBNCIZhouPhysionetChoAverage Gain
Full pipeline72.1 ± 7.381.8 ± 1.264.6 ± 4.475.4 ± 4.6—
- BN67.1 ± 8.477.3 ± 2.962.8 ± 4.274.5 ± 5.5−3.0
- EA66.7 ± 6.580.5 ± 1.363.0 ± 4.674.6 ± 4.6−2.3
- Session70.4 ± 7.279.9 ± 1.4——−1.8
Online58.4 ± 6.973.1 ± 6.661.0 ± 4.973.5 ± 5.3−6.8
- Mixup69.1 ± 9.280.1 ± 0.760.0 ± 4.273.8 ± 5.2−2.7
- Reg S71.4 ± 7.981.8 ± 1.063.6 ± 4.174.2 ± 4.4−0.72
- Everything56.4 ± 9.074.5 ± 3.657.4 ± 4.672.6 ± 4.9−8.3
+ EOG79.8 ± 5.881.9 ± 1.6——+3.9
- LMSO——65.0 ± 14.376.2 ± 10.3+0.6