Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks

Title
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
Authors
Keywords
Anesthesia, Anesthetic depth level, Parallel programming, Parallel processing, Neural networks, EEG
Journal
JOURNAL OF MEDICAL SYSTEMS
Volume 39, Issue 2, Pages -
Publisher
Springer Nature
Online
2015-02-03
DOI
10.1007/s10916-015-0197-3

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started