Towards real-time neuronal connectivity assessment: A scalable pipelined parallel generalized partial directed coherence engine

Georgios Georgis, Georgios Menoutis, Dionysios Reisis, Konstantinos Tsakalis, Ashfaque Bin Shafique

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The current paper introduces a real-time architecture for the computation of the Generalized Partial Directed Coherence (GPDC) of multiple signals. The motivating application is the localization and control of epileptic seizures where hitherto published results shown the effectiveness of exploiting Generalized Partial Directed Coherence to quantify and analyse connectivity and interaction of brain structures. To speed up GPDC computations we develop first, a parallelizing strategy leading to the high performance scalable architecture and second, a low-complexity fixed-point reciprocal square root module. We show that a real-time computation is feasible at a speed of 0.027ms for 16 channels and 1.637ms for 128 channels. Furthermore, the implementation results on Xilinx 7A35T, KC705, VC707, KU115 show that the power requirements are quite modest and allow for the embedded application of the engine.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-16
Number of pages4
Volume2016-March
ISBN (Print)9781509002467
DOIs
StatePublished - Mar 23 2016
EventIEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015 - Cairo, Egypt
Duration: Dec 6 2015Dec 9 2015

Other

OtherIEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015
CountryEgypt
CityCairo
Period12/6/1512/9/15

Fingerprint

Engines
Brain

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Georgis, G., Menoutis, G., Reisis, D., Tsakalis, K., & Shafique, A. B. (2016). Towards real-time neuronal connectivity assessment: A scalable pipelined parallel generalized partial directed coherence engine. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems (Vol. 2016-March, pp. 13-16). [7440237] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECS.2015.7440237

Towards real-time neuronal connectivity assessment : A scalable pipelined parallel generalized partial directed coherence engine. / Georgis, Georgios; Menoutis, Georgios; Reisis, Dionysios; Tsakalis, Konstantinos; Shafique, Ashfaque Bin.

Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems. Vol. 2016-March Institute of Electrical and Electronics Engineers Inc., 2016. p. 13-16 7440237.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Georgis, G, Menoutis, G, Reisis, D, Tsakalis, K & Shafique, AB 2016, Towards real-time neuronal connectivity assessment: A scalable pipelined parallel generalized partial directed coherence engine. in Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems. vol. 2016-March, 7440237, Institute of Electrical and Electronics Engineers Inc., pp. 13-16, IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015, Cairo, Egypt, 12/6/15. https://doi.org/10.1109/ICECS.2015.7440237
Georgis G, Menoutis G, Reisis D, Tsakalis K, Shafique AB. Towards real-time neuronal connectivity assessment: A scalable pipelined parallel generalized partial directed coherence engine. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems. Vol. 2016-March. Institute of Electrical and Electronics Engineers Inc. 2016. p. 13-16. 7440237 https://doi.org/10.1109/ICECS.2015.7440237
Georgis, Georgios ; Menoutis, Georgios ; Reisis, Dionysios ; Tsakalis, Konstantinos ; Shafique, Ashfaque Bin. / Towards real-time neuronal connectivity assessment : A scalable pipelined parallel generalized partial directed coherence engine. Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems. Vol. 2016-March Institute of Electrical and Electronics Engineers Inc., 2016. pp. 13-16
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