![]() The result of PNN are maximum mu power, maximum beta power, mu frequency and beta frequency that provided value to calculate classification accuracy. The parallel computing characteristic of PNN not only improved the generation ability for network, but also shorted the operation time. This function was applied to the recognition research of motor imagery EEG signals (imagining arms movement). Probabilistic Neural Network (PNN) function as signal processing. EEG signal acquisition using the Emotiv EPOC+ portable. In this research, we aim used the motoric information on the EEG signals as neuron-feedback with combine 4 input electrode (F3, F4, FC5, FC6). On condition paralyzed, motoric information on the EEG signals will still be found when someone tried to move his limbs. The unique form of signal EEG describe commands to move the limbs. EEG signals used to provide motoric information. A modeling arms post-stroke therapy used command brain signals generated by Electroencephalography (EEG) has been designed.
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