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This software platform, EEGnet, provides researchers with an efficient database to view and interact with electroencephalography (EEG) brain wave data. EEG is an electrophysical monitoring system that records electrical activity in the brain and is used most often to diagnose epilepsy. Traditionally, EEG research has been limited due to a lack of large-scale standardized data and inefficient methods for collecting the opinion of large numbers of EEG experts. It is vital to have significant amounts of information in order to validate algorithms regarding EEG data as well as to train novices how to interpret EEG data. In order to resolve this, Clemson University and Medical University of South Carolina researchers designed EEGnet. The software effectively allows researchers from across the country to view and collaborate with large scale brain wave data. EEGnet has the potential to dramatically change the research and application of EEG data by providing standardized data needed to validate new algorithms to diagnose epilepsy and similar disorders.

Applications:

Diagnostics; medical device

Technical Summary:

EEGnet is a web-based platform that allows a distributed team of experts to assemble and annotate events in large scale EEG datasets in a consistent way. EEGnet supports most features of modern digital EEG visualization software, such as multiple montages, digital filtering, and gain adjustment. Advanced visualization capabilities are provided for displaying the output of automated interpretation algorithms and comparing these results with annotations from human experts. The critical objective of EEGnet is to make the EEG research community more aware of EEGnet as a means of facilitating large-scale collaborative research initiatives.

Advantages:

  • Offers online collection and storage of data, allowing researchers from any location to collaborate while  safely storing information
  • Allows easy large-scale distributive review and analysis of EEG brain wave data, accelerating the validation of new algorithms, technologies, and devices
  • Eliminates the previous required step of sending paper reports of data to researchers around the country, decreasing costs and increasing efficiency sharing EEG data

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Technology Overview

State of Development

Commercial Product

Patent Type

Copyright

Category

Biomedical, Biotechnology

Serial Number

N/A

CURF Reference No.

2014-081

Inventors

Brian Dean, Jonathan Halford

MUSC-FRD Ref:

P1479


For More Info, Contact:

Chris Gesswein

Executive Director, Director of Licensing agesswe@clemson.edu

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