Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009

Volumn , Issue , 2009, Pages

  Konstantinidis, Evdokimos I ^a   Frantzidis, Christos A ^a   Tzimkas, Lazaros ^a   Pappas, Costas ^a   Bamidis, Panagiotis D ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Biomedical processing; GPU; Parallel

Indexed keywords

BIOMEDICAL APPLICATIONS; BIOMEDICAL PROCESSING; BIOMEDICAL SIGNAL PROCESSING; BIOSIGNAL PROCESSING; C LANGUAGE; CORRELATION DIMENSIONS; DESIGN TECHNIQUE; EXECUTION TIME; GPU PROGRAMMING; GRAPHIC PROCESSOR UNITS; GRAPHICS PROCESSING UNIT; MEMORY MANAGEMENT; NEUROPHYSIOLOGICAL RECORDINGS; PARALLEL ARCHITECTURE DESIGN; PROCESSING SPEED; PROGRAMMING ENVIRONMENT; SKIN CONDUCTANCE;

COMPUTER GRAPHICS EQUIPMENT; DATA TRANSFER; INFORMATION TECHNOLOGY; PARALLEL ARCHITECTURES; PROGRAM PROCESSORS; SIGNAL PROCESSING;

PARALLEL PROGRAMMING;

EID: 77949588000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2009.5394314     Document Type: Conference Paper

References (20)

1. J. Y. Hong, M. A. Wang, H. Wallace, High speed processing of biomedical images using programmable GPU, International Conference on Image Processing, ICIP '04, 2004, Vol. 4, pp. 2455-2458
2. P. Jiapu, T. J. Willis, A Real-Time QRS Detection Algorithm, IEEE Transactions on Biomedical Engineering, 1985, Issue 3
3. C.A Frantzidis et aI., On the classification of emotional biosignals evoked by affective pictures: an integrated data mining based approach, Transactions of Information Technology in Biomedicine, under review
4. K. Barros, R. Babich, R. Brower, M. A. Clark, C. Rebbi, Blasting through lattice calculations using CUDA, PoS LATTICE2008:045,2008
5. B. He, K. Yang, R. Fang, M. Lu, N. K. Govindaraju, Q. Luo, P. V. Sander, Relational Joins on Graphics Processors, SIGMOD'08, Vancouver, BC, Canada
6. T. Preisa, P. Virnaua, W. Paula, J. J. Schneidera, GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model, Journal of Computational Physics, Volume 228, Issue 12, July 2009, pp. 4468-4477
7. rd International Parallel and Distributed Processing Symposium, Rome, Italy, May 2009
8. M. A. Suchard, A. Rambaut, Many-core algorithms for statistical phylogenetics, in Bioinformatics, 2009 Jun, 1;25 (11) : 1370 - 6, Epub 2009 Apr 15
9. S. Liu, P. Li, Q. Luo, Fast blood flow visualization ofhigh-resolution laser speckle imaging data using graphics processing unit, Opt. Express 16, 14321-14329 (2008)
10. H. Jang, A. Park, K. Jung, Neural Network Implementation Using CUDA and OpenMP, Computing: Techniques and Applications, 2008. DICTA '08.Digital Image, 2008, December, pp. 155-161
11. G. E. Polychronaki et aI., Comparison of Fractal Dimension Estimation Algorithms for Epileptic Seizure Onset Detection, In Proceedings of the 8th IEEE International Conference on BioInformatics and BioEngineering BIBE 2008, Athens, Greece, IEEE, 1-6
12. C.A. Frantzidis et aI., Towards emotion aware computing: A study of arousal modulation with multichannel event-related potentials, delta oscillatory activity and skin conductivity responses, In Proceedings of the 8th IEEE International Conference on BioInformatics and BioEngineering BIBE 2008, Athens, Greece, IEEE, 1-6.
13. P. D. Barnidis, A. Luneski, A. Vivas, C. Papadelis, N. Maglaveras, C. Pappas, Multi-channel physiological sensing ofhuman emotion: insights into emotion-aware computing using affective protocols, avatars and emotion specifications, Studies in health technology and informatics. 2007;129(Pt 2): 1068-72.
14. E. Konstantinidis, P. D. Bamidis and D. Koufogiannis, Development of a Generic and Flexible Human Body Wireless Sensor Network, in Proceedings of the 6th European Symposium on Biomedical Engineering (ESBME), 2008.
15. B. Zink, A general relativistic evolution code onCUDA architectures, CCT Technical Report Series, Center for Computation and Technology, Louisiana State University
16. K. J. Starn, D. L. Tvy, Br. Jelles, H. A. Achtereekte, J. P. J. Slaets, R. W. M. Keumen, Non-Linear Dyanmical Analysis of Multicanner EEG: Clinical Applications in Dementia and Parkinson's Disease, Brain Topography, Vol. 7, No 2, pp. 141-150, 1994.
17. C. J. Starn, Nonlinear dynamical analysis ofEEG and MEG: Review of an emergingfield, Clinical Neurophysiology 116, p. 2266-2301, 2005.
18. R. W. Picard, J. Scheiner, The Galvactivator: A Glove that Senses and Communicates Skin Conductivity, Proceedings from the 9th International Conference on Human-Computer Interaction, New Orleans, August 2001, New Orleans
19. http://lomiweb.med.auth.gr/gan,11107/2009
20. CUDA Programming Guide, Available http:// http://www.nvidia.comlobject/ cuda-home.html