def test_higuchi_fd(self):
"""Test for function `higuchi_fd`.
Results have been tested against the MNE-features and pyrem packages.
"""
# Compare with MNE-features
self.assertEqual(np.round(higuchi_fd(RANDOM_TS), 8), 1.9914198)
higuchi_fd(list(RANDOM_TS), kmax=20)
def HiguchiFract(RR_windows, **kwargs):
feat = []
for wRR in RR_windows:
try:
value = entropy.higuchi_fd(wRR, kmax=5)
except:
value = np.nan
feat.append(value)
return feat
def get_HFD_at(self, channel, kMax=None):
"""
Computes Higuchi Fractal dimension per channel.
:param channel: Channel to compute Higuchi Fractal dimension.
:param kMax: kmax required for Higuchi.
:return: Higuchi fractal dimension.
"""
channel_data = self.__get_raw_data_at__(channel)
n = len(channel_data)
kMax = (n // 2) - 1 if kMax is None else kMax
data = entropy.higuchi_fd(channel_data, kMax)
return data
def handle_raw(raw):
res = []
for x in const.brain:
temp = []
temp.append(x)
raw_temp = raw.copy().pick_channels(temp)
data = raw_temp.get_data()[0]
hfd = higuchi_fd(data)
kfd = katz_fd(data)
res.append(hfd)
res.append(kfd)
return res
def higuchi(x):
return entropy.higuchi_fd(x, kmax=10)
