def preprocessing(dat, MRK_DEF, JUMPING_MEANS_IVALS):
dat = proc.sort_channels(dat)
fs_n = dat.fs / 2
b, a = proc.signal.butter(5, [30 / fs_n], btype='low')
dat = proc.lfilter(dat, b, a)
b, a = proc.signal.butter(5, [.4 / fs_n], btype='high')
dat = proc.lfilter(dat, b, a)
dat = proc.subsample(dat, 60)
epo = proc.segment_dat(dat, MRK_DEF, SEG_IVAL)
fv = proc.jumping_means(epo, JUMPING_MEANS_IVALS)
fv = proc.create_feature_vectors(fv)
return fv, epo
def preprocessing(dat, MRK_DEF, JUMPING_MEANS_IVALS):
dat = proc.sort_channels(dat)
fs_n = dat.fs / 2
b, a = proc.signal.butter(5, [30 / fs_n], btype='low')
dat = proc.lfilter(dat, b, a)
b, a = proc.signal.butter(5, [.4 / fs_n], btype='high')
dat = proc.lfilter(dat, b, a)
dat = proc.subsample(dat, 60)
epo = proc.segment_dat(dat, MRK_DEF, SEG_IVAL)
fv = proc.jumping_means(epo, JUMPING_MEANS_IVALS)
fv = proc.create_feature_vectors(fv)
return fv, epo
def test_sort_channels_copy(self):
"""sort_channels must not modify argument."""
cpy = self.dat.copy()
sort_channels(self.dat)
self.assertEqual(self.dat, cpy)
def test_sort_channels_swapaxis(self):
"""sort_channels must workt with nonstandard chanaxis."""
sorted_ = sort_channels(swapaxes(self.dat, 1, -1), 1)
sorted_ = swapaxes(sorted_, 1, -1)
sorted2 = sort_channels(self.dat)
self.assertEqual(sorted_, sorted2)
def test_sort_channels_with_unknown_channel(self):
"""Unknown channels move to the back."""
self.dat.axes[-1][7] = 'XX'
dat = sort_channels(self.dat)
self.assertEqual(dat.axes[-1][-1], 'XX')
def test_sort_channels(self):
"""sort_channels must sort correctly."""
dat = sort_channels(self.dat)
np.testing.assert_array_equal(dat.axes[-1], self.sorted_channels)
def test_sort_channels_copy(self):
"""sort_channels must not modify argument."""
cpy = self.dat.copy()
sort_channels(self.dat)
self.assertEqual(self.dat, cpy)
def test_sort_channels_swapaxis(self):
"""sort_channels must workt with nonstandard chanaxis."""
sorted_ = sort_channels(swapaxes(self.dat, 1, -1), 1)
sorted_ = swapaxes(sorted_, 1, -1)
sorted2 = sort_channels(self.dat)
self.assertEqual(sorted_, sorted2)
def test_sort_channels_with_unknown_channel(self):
"""Unknown channels move to the back."""
self.dat.axes[-1][7] = 'XX'
dat = sort_channels(self.dat)
self.assertEqual(dat.axes[-1][-1], 'XX')
def test_sort_channels(self):
"""sort_channels must sort correctly."""
dat = sort_channels(self.dat)
np.testing.assert_array_equal(dat.axes[-1], self.sorted_channels)
