DOI: 10.5281/zenodo.1284996
title: RAW DATA form - Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs

description: <strong>Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs</strong>

Ghada BinKhamis, Agnès Léger, Steven L. Bell, Garreth Prendergast, Martin O’Driscoll, and Karolina Kluk

<strong>doi: 10.1097/AUD.0000000000000648</strong>

<em>(<strong>Please site above article)</strong></em>

 

<strong>Description of raw EEG (speech-ABR) data main folder, subfolders, and raw EEG files</strong>

<strong>Folder Information</strong>

<strong>Main folder:</strong>


	Contains 144 subfolders with raw data from 12 participants


<strong>Subfolder names:</strong>


	Each subfolder starts with the participant code
	
		S01, S02, S03, S04, S05, S06, S07, S08, S09, S10, S11, S12
	
	



	Next is the stimulus duration:
	
		40ms, 50ms, 170ms
	
	
	Next is the CV used to evoke speech-ABRs
	
		ba, da, ga
	
	
	And finally the background condition 
	
		quiet, noise
	
	


<strong>Example subfolder names:</strong>


	<em>S01 40ms da noise:</em>Participant number 1, speech-ABRs in response to the 40ms [da] in background noise
	<em>S07 170ms ga quiet:</em>Participant number 7, speech-ABRs in response to the 170ms [ga] in quiet


<strong>Each participant has 12 subfolders:</strong>


	S__ 40ms da quiet 
	S__ 40ms da noise
	S__ 50ms da quiet
	S__ 50ms da noise
	S__ 50ms ba quiet
	S__ 50ms ba noise
	S__ 50ms ga quiet
	S__ 50ms ga noise
	S__ 170ms da quiet
	S__ 170ms da noise
	S__ 170ms ba quiet
	S__ 170ms ga quiet


<strong>Each participant subfolder contains four ‘.mat’ files, ‘.mat’ file names:</strong>


	Each ‘.mat’ file starts with the participant code
	
		S01, S02, S03, S04, S05, S06, S07, S08, S09, S10, S11, S12 
	
	
	Next is the stimulus duration:
	
		40ms, 50ms, 170ms
	
	
	Next is the CV used to evoke speech-ABRs
	
		ba, da, ga
	
	
	Next is ‘noise’ if background condition was noise
	Next is the stimulus polarity
	
		Pos for positive/standard
		Neg for negative (reversed polarity stimulus)
	
	
	And finally is the recording number for that polarity
	
		R1 is the first recording
		R2 is the second recording
	
	


<strong>Example ‘.mat’ file name:</strong>


	<em>S04 50 ba Neg R1:</em>Participant number 4, speech-ABR in response to the 50ms [ba] in quiet, reversed polarity stimulus, recording number one 
	<em>S02 40 da noise Pos R2:</em>Participant number 2, speech-ABR in response to the 40ms [da] in background noise, standard/positive stimulus, recording number two


 

<strong>File Information:</strong>

<strong>Description of ‘.mat’ files that can be accessed and processed using MATLAB (MathWorks):</strong>

Each ‘.mat’ file is a structure that contains the following fields:


	The first nine fields are informational, for example:
	
		xunits: ‘s’ indicates that the recording time window is in seconds, conversion to milliseconds would be required to plot the data in milliseconds
		start: ‘0’ indicates that both stimulus and recording start at 0 seconds
		points: <strong>1800</strong>is the number of sample points for speech-ABRs to the 40ms da, this number will be <strong>2200</strong>for the speech-ABRs to the 50ms stimuli (ba, da, ga), and <strong>4600</strong>for the speech-ABRs to the 170ms stimuli (ba, da, ga)
		chans: 2 is the number of channels (channel 2 is the ipsilateral channel)
		frames: 3000 is the number of epochs
	
	
	The last filed <strong>‘values’</strong>is what contains the raw EEG data (1800x2x3000)
	
		<strong>1800 </strong>is the number of samples
		<strong>2 </strong>is the number of channels (channel one is recorded from the left ear lobe (A1) and channel two is from the right ear lobe (A2))
		<strong>3000 </strong>is the number of epochs
		The field <strong>‘values’ </strong>for speech-ABRs to the 50ms stimuli is <strong>2200x2x3000 </strong>and for speech-ABRs to the 170ms stimuli is <strong>4600x2x3000</strong>.
	
	
	Stimulus starts at 0 seconds per epoch, pre-stimulus baseline may be extracted from the end of each epoch (i.e. before the next stimulus).


<strong>Data is recorded in Volts and will need to be converted to Micro Volts</strong>

<strong>Date of data collection</strong>: May to November 2016
description: Research funded by: Saudi Arabian Ministry of Education, King Fahad Medical City, and the Engineering and Physical Sciences Research Council (EPSRC grant No. EP/M026728/1)