| import numpy as np | |
| import scipy.sparse | |
| def detrend(X, detLambda=10): | |
| # Smoothness prior approach as in the paper appendix: | |
| # "An advanced detrending method with application to HRV analysis" | |
| # by Tarvainen, Ranta-aho and Karjaalainen | |
| t = X.shape[0] | |
| l = t/detLambda #lambda | |
| I = np.identity(t) | |
| D2 = scipy.sparse.diags([1, -2, 1], [0,1,2],shape=(t-2,t)).toarray() # this works better than spdiags in python | |
| detrendedX = (I-np.linalg.inv(I+l**2*(np.transpose(D2).dot(D2)))).dot(X) | |
| return detrendedX | |