A web-based solution to collect, manage and analyse Auditory Brainstem Response data

Chaczko, Z; Kirkpatrick, S; Braun, R

A web-based solution to collect, manage and analyse Auditory Brainstem Response data

Chaczko, Z

Kirkpatrick, S Braun, R

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Publication Type:: Conference Proceeding
Citation:: 2013 12th International Conference on Information Technology Based Higher Education and Training, ITHET 2013, 2013
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Kirkpatrick, S	en_US
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	2013 12th International Conference on Information Technology Based Higher Education and Training, ITHET 2013, 2013	en_US
dc.identifier.isbn	9781479900862	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27531
dc.description.abstract	Auditory neuroscience often involves the collection of experiment data from test subjects in the form of non-invasive Auditory Brainstem Responses (ABR). These ABRs are most often used to gauge a subjects hearing threshold. Although rarely; they can be analysed further. Research into ABRs has shown that the presence of brain damage or tumours may be detectable. This can be achieved if large amounts of ABRs are collected and compared. However many laboratories around the world do not keep the data as it is difficult to store and analyse, and sometimes only used for threshold analysis. This results in a huge amount of wasted data and opportunity. The goal of this project was to develop and build a web-based system to collect, manage and analyse ABR data for hearing research. The project was run as an iterative process based on the eXtreme-Programming (XP) methodology. It involved very close contact with the client laboratory. Onsite weekly meetings, demonstrations and experiments were attended to help understand the problem domain. A continuous analysis, design and integration cycle coupled with automated testing and deployment was used throughout the project. Where possible all key aspects of XP development were adhered to and the project managed in this fashion. The final OpenABR system was deployed to a cloud server and is being used by the client laboratory. It has several unique features that no other system of its type possesses. Its dynamic database interface allows scientists the flexibility and reliability they cannot get from standard databases. Future work would focus on expanding the dynamic database interface, integrating more analysis including heuristics and trying to include new data types such as imaging results. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 12th International Conference on Information Technology Based Higher Education and Training, ITHET 2013	en_US
dc.relation.isbasedon	10.1109/ITHET.2013.6671012	en_US
dc.title	A web-based solution to collect, manage and analyse Auditory Brainstem Response data	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
dc.location.activity	Antalya, Turkey	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Auditory neuroscience often involves the collection of experiment data from test subjects in the form of non-invasive Auditory Brainstem Responses (ABR). These ABRs are most often used to gauge a subjects hearing threshold. Although rarely; they can be analysed further. Research into ABRs has shown that the presence of brain damage or tumours may be detectable. This can be achieved if large amounts of ABRs are collected and compared. However many laboratories around the world do not keep the data as it is difficult to store and analyse, and sometimes only used for threshold analysis. This results in a huge amount of wasted data and opportunity. The goal of this project was to develop and build a web-based system to collect, manage and analyse ABR data for hearing research. The project was run as an iterative process based on the eXtreme-Programming (XP) methodology. It involved very close contact with the client laboratory. Onsite weekly meetings, demonstrations and experiments were attended to help understand the problem domain. A continuous analysis, design and integration cycle coupled with automated testing and deployment was used throughout the project. Where possible all key aspects of XP development were adhered to and the project managed in this fashion. The final OpenABR system was deployed to a cloud server and is being used by the client laboratory. It has several unique features that no other system of its type possesses. Its dynamic database interface allows scientists the flexibility and reliability they cannot get from standard databases. Future work would focus on expanding the dynamic database interface, integrating more analysis including heuristics and trying to include new data types such as imaging results. © 2013 IEEE.

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http://hdl.handle.net/10453/27531