def resample_multichan(xs, ann, fs, fs_target, resamp_ann_chan=0):
"""
Resample multiple channels with their annotations.
Parameters
----------
xs: ndarray
The signal array.
ann : WFDB Annotation
The WFDB annotation object.
fs : int, float
The original frequency.
fs_target : int, float
The target frequency.
resample_ann_channel : int, optional
The signal channel used to compute new annotation indices.
Returns
-------
ndarray
Array of the resampled signal values.
resampled_ann : WFDB Annotation
Annotation containing resampled annotation locations.
"""
assert resamp_ann_chan < xs.shape[1]
lx = []
lt = None
for chan in range(xs.shape[1]):
resampled_x, resampled_t = resample_sig(xs[:, chan], fs, fs_target)
lx.append(resampled_x)
if chan == resamp_ann_chan:
lt = resampled_t
new_sample = resample_ann(lt, ann.sample)
assert ann.sample.shape == new_sample.shape
resampled_ann = Annotation(record_name=ann.record_name,
extension=ann.extension,
sample=new_sample,
symbol=ann.symbol,
subtype=ann.subtype,
chan=ann.chan,
num=ann.num,
aux_note=ann.aux_note,
fs=fs_target)
return np.column_stack(lx), resampled_ann
def resample_singlechan(x, ann, fs, fs_target):
"""
Resample a single-channel signal with its annotations.
Parameters
----------
x: ndarray
The signal array.
ann : WFDB Annotation
The WFDB annotation object.
fs : int, float
The original frequency.
fs_target : int, float
The target frequency.
Returns
-------
resampled_x : ndarray
Array of the resampled signal values.
resampled_ann : WFDB Annotation
Annotation containing resampled annotation locations.
"""
resampled_x, resampled_t = resample_sig(x, fs, fs_target)
new_sample = resample_ann(resampled_t, ann.sample)
assert ann.sample.shape == new_sample.shape
resampled_ann = Annotation(record_name=ann.record_name,
extension=ann.extension,
sample=new_sample,
symbol=ann.symbol,
subtype=ann.subtype,
chan=ann.chan,
num=ann.num,
aux_note=ann.aux_note,
fs=fs_target)
return resampled_x, resampled_ann