The provision of infant EEG editing and analysis software

Lead Research Organisation: Durham University
Department Name: Psychology

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description This grant was to fund the creation of software. Through so doing, we realised a number of papers related to how we treat infant EEG data (e.g., Stets, Stahl and Reid, 2011). We also edited a special issue of Developmental Neuropsychology as a result of determining the key issues in data acquisition and assessment with infant EEG.
Exploitation Route Infant EEG is noisy, with poor quality of data being normative in many ways. This is similar to other populations, particularly clinical populations, where data is limited and of poor quality. As such, our findings are relevant to these arenas.
Sectors Digital/Communication/Information Technologies (including Software),Other

 
Description These findings have facilitated infant research throughout the world. Standardised measures related to the treatment of infant EEG are now being investigated seriously for the first time. This is a huge leap in a field that is often murky in terms of how data is treated during data editing and prior to analysis.
First Year Of Impact 2011
Sector Digital/Communication/Information Technologies (including Software),Other
Impact Types Cultural

 
Title EEG software 
Description This software was developed as part of ES/I029907/1 and licensed to iEEG Ltd for further development and for integration with hardware. 
IP Reference  
Protection Protection not required
Year Protection Granted 2012
Licensed Commercial In Confidence
Impact This software has informed the development of further software that has led to a number of publications such as: Dominguez-Martinez, E., Parise, E., Strandvall, T., & Reid, V.M. (2015). The fixation distance to the stimulus influences ERP quality: an EEG and eye-tracking N400 study. Plos One, 10 (7), e0134339.
 
Company Name iEEG Ltd 
Description iEEG was created to explore the development of EEG systems for infant populations. 
Year Established 2011 
Impact iEEG acquired venture capital from NorthStar Ventures in 2010 and licensed software developed to specifically facilitate infant EEG research derived from ES/I029907/1.