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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Raw Data from - Speech-ABRs in Cochlear Implant Recipients: Feasibility Study

Authors: BinKhamis, Ghada;

Raw Data from - Speech-ABRs in Cochlear Implant Recipients: Feasibility Study

Abstract

Speech-ABRs in Cochlear Implant Recipients: Feasibility Study Ghada BinKhamis, Emanuele Perugia, Martin O’Driscoll, Karolina Kluk Please site the paper when using this dataset (DOI: 10.1080/14992027.2019.1619100) Participant Recordings (BinKhamis et al Speech_ABR in CI raw data.zip) Description of raw EEG (speech-ABR) data main folder, subfolders, and raw EEG files Folder Information Main folder: Contains 12 subfolders with the raw data from 12 participants Subfolders: Each subfolder contains raw EEG recordings from one participant, subfolders names are: CI1, CI2, CI3, CI4, CI5, CI6, CI7, CI8, CI9, CI10, CI11, CI12 Each participant subfolder contains four ‘.mat’ files: Each ‘.mat’ file starts with the participant ID CI1, CI2, CI3, CI4, CI5, CI6, CI7, CI8, CI9, CI10, CI11, CI12 Followed by the stimulus: 40 da Followed by the stimulus polarity Pos for positive/standard Neg for negative (reversed polarity stimulus) Followed by the ipsilateral/implanted ear R for right ear L for left ear Finally the recording number for that polarity 1 is the first recording 2 is the second recording Example ‘.mat’ file name: CI1 40 da Neg R1.mat: Participant number 1, reversed polarity stimulus, implanted ear – right ear, recording number one CI9 40 da Pos L2.mat: Participant number 9, standard/positive polarity stimulus, implanted ear – left ear, recording number two 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: 13750 is the number of sample points chans: 2 is the number of channels (channel 2 is the ipsilateral channel for participants with a Right CI, and channel 1 is the ipsilateral channel for participants with a Left CI) frames: 2500 is the number of epochs (repetitions) The last filed ‘values’ is what contains the raw EEG data (13750x2x2500) 13750 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 Date of data collection: September 2017 Artificial-head artefact Recordings (BinKhamis et al Speech_ABR in CI artefact data.zip) This folder contains six artificial-head artefact recordings CI07_Artefact_40da_neg.mat Artefact based on closest approximation to CI07's MAP Recorded in response to a reversed polarity (neg) 40 ms [da] CI07_Artefact_40da_pos.mat Artefact based on closest approximation to CI07's MAP Recorded in response to a standard polarity (pos) 40 ms [da] CI08_Artefact_40da_neg.mat Artefact based on closest approximation to CI08's MAP Recorded in response to a reversed polarity (neg) 40 ms [da] CI08_Artefact_40da_pos.mat Artefact based on closest approximation to CI08's MAP Recorded in response to a standard polarity (pos) 40 ms [da] CI09_Artefact_40da_neg.mat Artefact based on closest approximation to CI09's MAP Recorded in response to a reversed polarity (neg) 40 ms [da] CI09_Artefact_40da_pos.mat Artefact based on closest approximation to CI09's MAP Recorded in response to a standard polarity (pos) 40 ms [da] Artefact recordings are in '.mat' format (MATLAB, MathWorks) Each '.mat' file is a 10988x2500 matrix 10988 is the number of sample points 2500 is the number of epochs (repetitions) Artefacts recorded in: June 2018

Related Organizations
Keywords

cochlear implant artefact, Speech-ABR in CI, ABRs in cochlear implants

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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