READ ME File For 'Retrospective Study of MED-EL Cochlear Implant Electrode Impedance from the University of Southampton Auditory Implant Service'

Dataset DOI:

ReadMe Author: Alan Peter Sanderson, University of Southampton

This dataset supports the thesis entitled: Translational Approaches to Measurement and Analysis of the Cochlear Implant-Tissue Interface
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: [2020]

DESCRIPTION OF THE DATA
[This should include a detailed description of the data, how it was collected/created, any specialist software needed to view the data]

Data was exported from Med-El Maestro as a database file. 
The database was opened using Microsoft Access
A custom MS Access query was used to output the ‘electrode impedance’ and the ‘electrode activation status’
This raw data is contained in the below files within the worksheets titled ‘Arranging’
The data is separated into different worksheets corresponding to 12 electrodes
The data can be viewed in MS Excel
Processing and plotting of the data described in Sanderson et al, 2019 (see below) was performed using Mathworks Matlab

This dataset contains:

MED-EL_Retrospective_Electrode_activation_status.xlsx (these data indicate whether the electrode was active (1) or deactivated (0) at that point in time)

MED-EL_Retrospective_Electrode_impedance.xlsx (these data show the impedance level measured in kilo ohms for each electrode at that point in time)

Date of data collection: [February 2016 - February 2017]

Information about geographic location of data collection: Highfield Campus, University of Southampton.

Licence: CC BY-NC-ND

Related projects/Funders: Engineering and Physical Sciences Research Council (EPSRC)

Related publication:
Sanderson AP, Rogers ETF, Verschuur CA, Newman TA. Exploiting Routine Clinical Measures to Inform Strategies for Better Hearing Performance in Cochlear Implant Users. Front Neurosci. 2019;12:1048. Published 2019 Jan 15. doi:10.3389/fnins.2018.01048

Date that the file was created: Nov, 2020

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