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Grant Award View - GA7257
Deep mining neurological abnormalities from brain signal data
GA ID:
GA7257
Agency:
Australian Research Council
Approval Date:
15-Jun-2018
Publish Date:
19-Jun-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Dec-2018 to 30-Nov-2022
Original: 1-Jul-2018 to 30-Jun-2021
Value (AUD):
$370,000.00
(GST inclusive where applicable)
Variations:
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Deep mining neurological abnormalities from brain signal data
Purpose:
This project aims to develop a reliable, robust and real-time analysis system for automatic and accurate detection of neurological abnormalities, and the prediction of impending neurological problems from brain signal data. The project expects to design novel algorithms for brain signal processing, data compression, and detection and prediction of neurological abnormalities from massive brain signal data. The project will lead to significant improvement of existing methods in health monitoring applications in Australia and worldwide and hence will save lives, money and resources.
GO ID:
GO Title:
Linkage Projects commencing in 2017
Internal Reference ID:
LP17 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Victoria University
Recipient ABN:
83 776 954 731
Grant Recipient Location
Suburb:
FOOTSCRAY
Town/City:
FOOTSCRAY
Postcode:
3011
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3011
Country:
AUSTRALIA