Title :
Neural network-based information technology for biomedical signal processing
Author_Institution :
CAD Dept., Nat. Univ. Lviv Polytech., Lviv, Ukraine
Abstract :
The main goal of this article is to develop and upgrade the existence technologies of the signals processing theory. By using methods and algorithms based on artificial neural networks, we expect the new way in development a complete analytical system for biomedical engineering problems. As is well known problem in theory of signal processing to achieve a high-speed and high-precision result, with the mixing of typical and modern design in the area of neural networks, multicore and parallel computing and designing the new type of sensors.
Keywords :
medical signal processing; multiprocessing systems; neural nets; artificial neural networks; biomedical signal processing; complete analytical system; multicore computing; neural network-based information technology; parallel computing; Artificial neural networks; Field programmable gate arrays; Sensors; Signal processing; Signal processing algorithms; Software; FPGA; artificial neural network; experiment; hardware implementation; hardware level; internal interaction; internal memory; logical device; main bus; microcontroller; simulation; structure scheme;
Conference_Titel :
Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
Conference_Location :
Gdansk
Print_ISBN :
978-617-607-553-0
DOI :
10.1109/MIKON.2014.6899884