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Classification results and accuracy topography. (A) Mean classification accuracies across 12 subjects in 17 electrodes. The error bar indicates the upper and lower limit of the accuracy. The performance of the EEG phase and power portions are represented in purple and green, respectively. The red dashed line represents the three-sigma level above the chance level. (B) Normplot figure for random label training set classification results. The Y axis indicates the logarithm of the cumulative density function (CDF). If a sample set originates from a normal distribution, it will be linear. (C) Accuracy topography for the EEG power portion. The small black dots represent electrodes. Accurate rates at other sites were determined using the <t>MATLAB</t> Triangle interpolation function. (D) Accuracy topography for the EEG phase portion.
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Classification results and accuracy topography. (A) Mean classification accuracies across 12 subjects in 17 electrodes. The error bar indicates the upper and lower limit of the accuracy. The performance of the EEG phase and power portions are represented in purple and green, respectively. The red dashed line represents the three-sigma level above the chance level. (B) Normplot figure for random label training set classification results. The Y axis indicates the logarithm of the cumulative density function (CDF). If a sample set originates from a normal distribution, it will be linear. (C) Accuracy topography for the EEG power portion. The small black dots represent electrodes. Accurate rates at other sites were determined using the MATLAB Triangle interpolation function. (D) Accuracy topography for the EEG phase portion.

Journal: Frontiers in Neuroscience

Article Title: Decoding English Alphabet Letters Using EEG Phase Information

doi: 10.3389/fnins.2018.00062

Figure Lengend Snippet: Classification results and accuracy topography. (A) Mean classification accuracies across 12 subjects in 17 electrodes. The error bar indicates the upper and lower limit of the accuracy. The performance of the EEG phase and power portions are represented in purple and green, respectively. The red dashed line represents the three-sigma level above the chance level. (B) Normplot figure for random label training set classification results. The Y axis indicates the logarithm of the cumulative density function (CDF). If a sample set originates from a normal distribution, it will be linear. (C) Accuracy topography for the EEG power portion. The small black dots represent electrodes. Accurate rates at other sites were determined using the MATLAB Triangle interpolation function. (D) Accuracy topography for the EEG phase portion.

Article Snippet: 96) = 22.64, P < 10 −6 MATLAB ANOVA1].

Techniques: