We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
HYBRID IMPLEMENTATION OF THE FASTICA ALGORITHM FOR HIGH-DENSITY EEG USING THE CAPABILITIES OF THE INTEL ARCHITECTURE AND CUDA PROGRAMMING.
- Authors
GAJOS-BALIŃSKA, ANNA; WÓJCIK, GRZEGORZ M.; STPICZYŃSKI, PRZEMYS LAW
- Abstract
Early High-density electroencephalographic (EEG) systems are utilized in the study of the human brain and its underlying behaviours. However, working with the EEG data requires a well-cleaned signal, which is often obtained using independent component analysis (ICA) methods. The longer the calculation time for these types of algorithms is, the more data is obtained. This paper presents a hybrid implementation of the fastICA algorithm that uses parallel programming techniques (libraries and extensions of the Intel processors and CUDA programming), which results in a significant acceleration of execution time on selected architectures.
- Subjects
INTEL Corp.; INDEPENDENT component analysis; ELECTROENCEPHALOGRAPHY; PARALLEL programming; ALGORITHMS
- Publication
Computer Science, 2023, Vol 24, Issue 4, p455
- ISSN
1508-2806
- Publication type
Article
- DOI
10.7494/csci.2023.24.4.5539