code: def emg_var(X):
      ''' variance (assuming a mean of zero) for each variable in the segmented time series
      (equals abs_energy divided by (seg_size - 1)) '''
      segment_width = X.shape[1]
      return np.sum(X * X, axis=1) / (segment_width - 1f emg_var(X):
      ''' variance (assuming a mean of zero) for each variable in the segmented time series
      (equals abs_energy divided by (seg_size - 1)) '''
      segment_width = X.shape[1]
      return np.sum(X * X, axis=1) / (segment_width - 1)
docs: variance (assuming a mean of zero) for each variable in the segmented time series
      (equals abs_energy divided by (seg_size - 1))