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BYBLoadContinuousData.py
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BYBLoadContinuousData.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 26 11:10:20 2018
@author: benrobbins
A module to help convert over continuous data into session objects.
"""
import numpy as np
import os
import wavfile_read
class timestamps:
"""
A class purely for organisation. This is used by the session class
to group together all of the timestamps.
"""
def __init__(self):
"""
A instantiation that creates all of the attributes with defult, meaningless values.
"""
self.events = np.array([])
self.relax_on = np.array([])
self.relax_off = np.array([])
class EEG:
def __init__(self):
"""
A instantiation that creates all of the attributes with defult, meaningless values.
"""
self.location = np.array([])
self.time = np.array([])
self.FS = 0
self.data = np.array([])
class session:
"""
Repressents a single session of one of the movement mind reader project.
"""
def __init__(self):
"""
A instantiation that creates all of the attributes with defult, meaningless values.
"""
self.experiment = ''
self.protocal = 0
self.subject = 0
self.EEG = EEG()
self.timestamps = timestamps()
self.comment = ''
self.date = ''
def __init__ (self, info):
"""
An instantion of session with meaningful values.
Parameters
----------
Info = a dictionary of almost all the attributs needed.
"""
self.timestamps = timestamps()
self.subject = info['subject']
self.experiment = info["experiment"]
self.protocal = info['protocal']
self.date = info['date']
self.filename = info['filename']
self.EEG = EEG()
self.EEG.data = info['data']
self.EEG.location = info['locations']
self.EEG.FS = info['EEGsamplingrate']
self.EEG.time = info['time']
self.timestamps.events = info['events']
self.comment = info['comment']
def convert_to_session(experiment, subject, protocal, wave, comment = ''):
"""
Creates a dictionary for creating a session object.
Parameters
----------
experiment = str of the name of the experiment
subject = str that represents a subject(i.e. 'S02')
protocal = str that represents a protocal(i.e. 'P01')
wave = str that is the directory to a wave file
comment = str that will be a comment in the session object that will be returned
Retrurns
----------
session = a session object
"""
info = {}
info['experiment'] = experiment
info['subject'] = subject[-2:]
info['protocal'] = protocal[-2:]
info['comment'] = comment
info['filename'] = wave.split('/')[-1]
info['EEGsamplingrate'],info['data'] = wavfile_read.read(wave)
info['time'] = np.linspace(0, len(info['data']/info['EEGsamplingrate']), len(info['data']))
#Flips dementions
temp1 = []
for i in range(len(info['data'][0])):
temp2= []
for index in range(len(info['data'])):
temp2 += [info['data'][index][i]]
temp1.append(temp2)
info['data'] = np.array(temp1, dtype = np.int32)
info['date'] = wave.split('/')[-1].split('_')[2]
info['locations'] = ['F4-C4','F3-C3','C4-Fz','C3-Fz']
newdir = wave[0:len(wave) - 4] + '-events.txt'
fin = open(newdir)
temp = [[],[],[],[],[],[],[], [], [], [], []]
for i in (fin.readlines()[2:]):
if ',' in i:
action, value = tuple(i.split(','))
value = float(value.strip())
action = int(action)
temp[action].append(value)
info['events'] = temp
return session(info)
def findWAVfiles(dirname, firstCall = 1, experiment = '', protocal = 0, subject = 0):
"""
findWAVfiles is a function that looks for all wav files in the given
file and in all the sub files.
Parameter
---------
dirname = str of the directory of the file you want to search
firstCall = int used internally for recursion. Don't use.
experiment = str repressenting name of the experiment. Determined
internally and passed on through recursion.
protocal = int repressing the protical. Determined internally. Don't change
subject = int repressing the subject. Determined internally. Don't change.
Returns
---------
re = a series of lists, one for each layer the walk delves into.The last
list contains a tuple with the dirrectory, experiment, protical, and
subject in that order.
"""
re = []
for name in os.listdir(dirname):
path = os.path.join(dirname, name)
if os.path.isfile(path):
if '.wav' in path:
re.append((path, experiment, protocal, subject))
else:
if firstCall:
re = findWAVfiles(dirname, firstCall = 0, experiment = dirname.split('/')[-1])
else:
if 'P' in path.split('/')[-1].split('.')[0] and len(path.split('/')[-1].split('.')[0]) == 3:
re.append(findWAVfiles(path, firstCall = 0, experiment = experiment, protocal = path.split('/')[-1].split('.')[0][1:]))
else:
if 'S' in path.split('/')[-1].split('.')[0] and len(path.split('/')[-1].split('.')[0]) == 3:
re.append(findWAVfiles(path, firstCall = 0, experiment = experiment, protocal = protocal, subject = path.split('/')[-1].split('.')[0][1:]))
else:
re.append(findWAVfiles(path, firstCall = 0, experiment = experiment, protocal = protocal, subject = subject))
return re