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import numpy as np
from scipy import signal
from .base import VHRMethod
class LGI(VHRMethod):
methodName = 'LGI'
def __init__(self, **kwargs):
super(LGI, self).__init__(**kwargs)
def apply(self, X):
#M = np.mean(X, axis=1)
#M = M[:, np.newaxis]
#Xzero = X - M # zero mean (row)
U,_,_ = np.linalg.svd(X)
S = U[:,0].reshape(1,-1) # array 2D shape (1,3)
P = np.identity(3) - np.matmul(S.T,S)
Y = np.dot(P,X)
bvp = Y[1,:]
return bvp |