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Raw Data from - Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures

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Mendeley Data2024-03-27 更新2024-06-27 收录
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https://zenodo.org/record/2652864
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Folder and Data Description for dataset of: Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures Ghada BinKhamis, Antonio Elia Forte, Tobias Reichenbach, Martin O’Driscoll, and Karolina Kluk Please site the paper when using this dataset (DOI: 10.1177/2331216519848297) Shared dataset is as follows: Behavioral data is in the excel spread sheet entitled: “BinKhamis_et_al_behavioral_data .xlsx” Speech-ABRs (raw EEG (speech-ABR) data) are contained within the five 'zip' folders. Description of the “Speech-ABRs” folders, subfolders, and raw EEG files: “Speech-ABRs” Folder Information: Each Speech_ABR folder contains subfolders from a subset of participants (e.g. Speech_ABR_1_20.zip contains data from participant number 1 to participant number 20) Subfolders: Each subfolder starts with the participant code: e.g. HA1, HA2, HA3, HA4, HA5, …, HA98 Next is the background condition: noise or quiet Next is whether recordings were: aided or unaided Example subfolder names: HA1 noise aided: participant number 1, aided speech-ABRs in background noise HA4 noise unaided: participant number 4, unaided speech-ABRs in background noise HA55 quiet aided: participant number 55, aided speech-ABRs in quiet HA97 quiet unaided: participant number 97, unaided speech-ABRs in quiet Each participant has 4 subfolders for the four recording conditions (aided quiet, aided noise, unaided quiet, unaided noise) Each subfolder contains four ‘.mat’ files, ‘.mat’ file names: Each ‘.mat’ file starts with the participant code: e.g. HA1, HA2, HA3, HA4, HA5, …, HA98 Next is the stimulus: 40 da Next is ‘unaided’ only if recordings were without HA Next is ‘noise’ only if the background condition was noise Next is the stimulus polarity: ‘Pos’ for positive/standard ‘Neg’ for negative (reversed polarity stimulus) And finally the test ear and recording number for that polarity R1 is the first recording from the right ear, R2 is the second recording from the right ear L1 is the first recording from the left ear, L2 is the second recording from the left ear Example ‘.mat’ file name: HA1 40 da Neg Noise R1.mat: participant number 1, aided speech-ABR in response to the 40 ms [da], reversed stimulus polarity, in background noise, right ear recording number 1. HA4 40 da unaided Pos Noise L2.mat: participant number 1, unaided speech-ABR in response to the 40 ms [da], standard stimulus polarity, left ear recording number 2. HA7 40 da Neg R2.mat: participant number 7, aided speech-ABR in response to the 40 ms [da], reversed stimulus polarity, right ear recording number 2. HA10 40 da unaided Pos Noise L1.mat: participant number 10, unaided speech-ABR in response to the 40 ms [da], standard stimulus polarity, in background noise, left ear recording number 1. File Information: Description of ‘.mat’ files that can be accessed and processed using MATLAB (MathWorks): 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: 2200 is the number of sample points chans: 2 is the number of channels Right ear: channel 2, Left ear: channel 1 frames: 2500 is the number of epochs The last filed ‘values’ is what contains the raw EEG data (2200x2x2500) 2200 is the number of samples 2 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)) 2500 is the number of epochs 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). Data are in Volts; conversion to μVolts (multiply by 1000) is required. Date of data collection: October 2017 to July 2018
创建时间:
2023-06-28
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