skjerns

import warnings
import numpy as np
from sklearn import feature_extraction


def extract_windows(arr, sfreq, win_size, step_size, axis=-1):
    """extract 1d signal windows from an ndimensional array
    
    window_size and step_size are defined in terms of seconds    
    this will extract a so called 'view' to the array, so the memory footprint

skjerns

from pyedflib import highlevel
import numpy as np
import mne


def resample(data, o_sfreq, t_sfreq):
    """
    resample a signal using MNE resample functions
    This automatically is optimized for EEG applying filters etc

skjerns

# -*- coding: utf-8 -*-
"""
Created on Wed Dec  5 12:56:31 2018
@author: skjerns
Gist to save a mne.io.Raw object to an EDF file using pyEDFlib
(https://github.com/holgern/pyedflib)
Disclaimer:
    - Saving your data this way will result in slight 
      loss of precision (magnitude +-1e-09).
    - It is assumed that the data is presented in Volt (V), 

skjerns

# -*- coding: utf-8 -*-
import glob
import csv
import numpy as np
from sklearn.metrics import f1_score
from sleepscorer import Scorer, SleepData

edfx_dir = "D:\\sleep\\edfx\\"

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