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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 HbO signals for all subjects.

Feature combination S1 S2 S3 S4 S5 S6 S7
Mean and Slope 53.82 50.81 50.69 59.22 59.84 55.21 59.84
Mean and Peak 94.61 96.48 90.71 91.96 90.96 91.96 94.85
Mean and Variance 86.57 87.21 81.93 82.93 82.81 75.53 83.43
Slope and Peak 87.07 83.31 80.92 85.44 83.81 83.56 81.18
Slope and Variance 86.95 88.71 83.43 82.81 81.81 76.78 80.55
Peak and Variance 89.71 89.96 83.56 87.71 87.21 83.68 81.31
Peak and Skewness 89.08 83.44 80.55 86.71 81.81 83.06 81.05
Mean and Skewness 48.11 49.56 49.81 53.07 52.94 51.94 50.31
Slope and Skewness 47.43 50.31 47.81 53.58 52.57 54.21 50.06
Kurtosis and Skewness 46.17 48.55 51.56 54.21 48.93 53.58 50.56
Variance and Skewness 87.82 88.58 82.31 83.18 81.55 78.29 84.19
Peak and Kurtosis 86.82 82.43 80.93 85.57 83.93 82.06 81.05
Mean and Kurtosis 46.92 46.67 51.44 53.71 49.05 52.07 48.43
Slope and Kurtosis 47.55 45.29 53.45 54.07 52.19 49.18 48.18
Variance and Kurtosis 87.45 88.33 82.18 83.31 82.31 82.18 85.95

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Inferred neuron-electrophysiology data values

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