Python sampen示例

示例#1

文件： mse_analyse_region.py 项目： the-virtual-brain/tvb-documentation

def compute_mse(xs_data, ys_data):
    """
    Not trying to be smart. Only computing MSE for two different time series.
    e.g
    x: resting state eeg
    y: evoked activity eeg
    """
    from tvb.analyzers.info import sampen

    x = numpy.array(xs_data)
    y = numpy.array(ys_data)

    sampen_x = sampen(x[2048:, 0, eeg_nodes[2], 0], r=.15, taus=numpy.r_[4:13], qse=False, m=2)
    sampen_y = sampen(y[2048:, 0, eeg_nodes[2], 0], r=.15, taus=numpy.r_[4:13], qse=False, m=2)

    return sampen_x, sampen_y

示例#2

def compute_mse(xs_data, ys_data):
    """
    Not trying to be smart. Only computing MSE for two different time series.
    e.g
    x: resting state eeg
    y: evoked activity eeg
    """
    from tvb.analyzers.info import sampen

    x = numpy.array(xs_data)
    y = numpy.array(ys_data)

    sampen_x = sampen(x[2048:, 0, eeg_nodes[2], 0],
                      r=.15,
                      taus=numpy.r_[4:13],
                      qse=False,
                      m=2)
    sampen_y = sampen(y[2048:, 0, eeg_nodes[2], 0],
                      r=.15,
                      taus=numpy.r_[4:13],
                      qse=False,
                      m=2)

    return sampen_x, sampen_y