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Article: Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.

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Naseer N; Noori FM; Qureshi NK; Hong KS
Front Hum Neurosci, 2016


The classification accuracies of all 2-feature combinations obtained from HbR signals for all subjects.

Feature combination S1 S2 S3 S4 S5 S6 S7
Mean and Slope 56.83 54.45 61.61 59.59 55.33 56.71 62.86
Mean and Peak 92.34 92.59 90.84 91.84 88.71 86.07 87.07
Mean and Variance 82.43 86.82 82.93 85.94 82.55 79.92 79.54
Slope and Peak 86.07 86.32 79.67 85.44 85.19 83.06 84.69
Slope and Variance 79.79 87.32 82.31 85.82 80.55 76.41 77.91
Peak and Variance 85.44 86.07 82.93 87.21 86.32 76.91 84.31
Peak and Skewness 88.33 87.21 84.44 85.94 84.94 80.81 85.44
Mean and Skewness 51.69 51.31 53.32 52.82 47.05 54.71 59.47
Slope and Skewness 52.44 52.07 57.34 51.31 51.94 47.55 54.83
Kurtosis and Skewness 52.94 48.81 55.21 49.43 45.42 56.46 52.69
Variance and Skewness 82.55 81.93 83.81 86.71 80.92 77.03 78.16
Peak and Kurtosis 86.95 83.81 81.43 86.07 85.69 78.67 86.44
Mean and Kurtosis 50.06 54.57 55.33 45.42 48.55 60.47 57.59
Slope and Kurtosis 51.81 49.43 54.21 48.55 49.31 56.21 59.09
Variance and Kurtosis 86.32 85.94 85.44 86.71 82.05 78.16 78.41

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Inferred neuron-electrophysiology data values

Neuron Type Neuron Description Ephys Prop Extracted Value Standardized Value Content Source