NIH Working with Small Business to Create Virtual Reality (VR) Environment - NIH-NICHD-17-038 - Federal Business Opportunities: Opportunities

January 22, 2017

NIH Working with Small Business to Create Virtual Reality (VR) Environment – NIH-NICHD-17-038 – Federal Business Opportunities: Opportunities

The US National Institutes for Health (NIH) NICHD&39;s selects small business to accelerate creation of Virtual Reality Content for clinical purposes.

From FBO.GOV

This acquisition is being conducted using Simplified Acquisition Procedures in accordance with FAR Part 13. Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) intend to procure on a sole source basis with PatternPrediX, LLC of 5901 Montrose Road, Suite C605, Rockville, MD 20852 for the acquisition of the following product and services:

PatternPredix will use Virtual Reality (VR) environment in order to evaluate working memory by developing augmented psychological tasks while imaging subjects’ brain activity using the fNIRS modality.

Services to include:

• Virtual Reality Database Design and Implementation – 480 hours

• Developing Virtual Reality platform for designing Neuroimaging experiments – 480 hours

• Training – 160 hours

• Developing the predictive analytical framework – 320 hours

PatternPredix has designed and developed the NICHD&;s current database system and has implemented the NICHD&39;s neuroimaging data-mining framework. Given the lab unique implementation of the multi-modal neuroimaging system composed of functional near infrared spectroscopy (fNIRS) and Electroencephalography (EEG), the NICHD seeks to take its research one step forward by placing subjects in realistic settings in order to more accurately determine brain activation patterns as they would occur outside the laboratory setting. In particular, PatternPrediX would develop a predictive analytic framework that performs the data pipeline from the VR application to apply Machine Learning algorithms on the dataset (that is collected in the VR environment) that enables for feature extraction, features selection, unsupervised and supervised learning in the constructed feature space.

The NIH has been exploring how VR and AR can be used in various ways related to healthcare and research for at least a decade. This new project indicates an added investment into their efforts. We will keep you updated.


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