import numpy as np
from medusa import components
[docs]class NIRS(components.BiosignalData):
"""Near Infrarred Spectroscopy (NIRS) biosignal data class.
"""
[docs] def __init__(self, times, signal, fs, channel_set, **kwargs):
"""EMG constructor
Parameters
----------
times : list or numpy.ndarray
1D numpy array [n_samples]. Timestamps of each sample. If they are
not available, generate them
artificially. Nevertheless, all signals and events must have the
same temporal origin
signal : list or numpy.ndarray
2D numpy array [n_samples x n_channels]. EMG samples (the units
should be defined using kwargs)
fs : int or float
Sample rate of the recording.
channel_set : list or Object
Channel information
kwargs: kwargs
Key-value arguments to be saved in the class. This general class
does not check anything
"""
# Standard attributes
self.times = times
self.signal = signal
self.fs = fs
self.channel_set = channel_set
# Set the specified arguments
for key, value in kwargs.items():
setattr(self, key, value)
[docs] def to_serializable_obj(self):
rec_dict = self.__dict__
for key in rec_dict.keys():
if type(rec_dict[key]) == np.ndarray:
rec_dict[key] = rec_dict[key].tolist()
return rec_dict
[docs] @classmethod
def from_serializable_obj(cls, dict_data):
return cls(**dict_data)