Artifact Subspace Reconstruction (ASR)-based brain signal preprocessing algorithm is robust against various motions and noises. However, it requires a large number of EEG channels and require the individual Calibration process. Wavelet Neural Network (WNN) brain signal preprocessing algorithm is based on robust algorithms for various noise similar to the ASR algorithm. Since it can be applied to a single channel and its performance is excellent, it is suitable for the real-time system application based on a minimum electrode.