tools.py 文件源码

def get_all_features_m(data):
    """
    returns a vector with extraced features
    :param data: datapoints x samples x dimensions (dimensions: EEG,EMG, EOG)
    """
    p = Pool(3)
    t1 = p.apply_async(feat_eeg,(data[:,:,0],))
    t2 = p.apply_async(feat_eog,(data[:,:,1],))
    t3 = p.apply_async(feat_emg,(data[:,:,2],))
    eeg = t1.get(timeout = 1200)
    eog = t2.get(timeout = 1200)
    emg = t3.get(timeout = 1200)
    p.close()
    p.join()

    return np.hstack([eeg,emg,eog])