Sainath, Deep learning for audio signal processing. Tuna, Artificial neural networks based thermodynamic and economic analysis of a hydrogen production system assisted by geothermal energy on field programmable gate array. Bridges, Improvements in CPU and FPGA Performance for Small Satellite SDR Applications. Torres, FPGA-based architecture for direct visual control robotic systems. Marsono, FPGA-based real-time moving target detection system for unmanned aerial vehicle application. Hubner, FPGA based traffic sign detection for automotive camera systems, in 10th International Symposium on Reconfigurable and Communication-centric Systems-on-Chip. Pehlivan, Implementation of FPGA-based real time novel chaotic oscillator. Tuna, Edge detection application with FPGA based Sobel operator, in 2015 23nd Signal Processing and Communications Applications Conference (SIU), pp. Henno, Image edge detectors under different noise levels with FPGA implementations. Hafez, Multiple histogram-based face recognition with high speed FPGA implementation. Turan Özcerit, The design and realization of a new high speed FPGA-based chaotic true random number generator. Elwakil, FPGA realizations of high-speed switching-type chaotic oscillators using compact VHDL codes. Fidan, İ Pehlivan, High speed FPGA-based chaotic oscillator design. (UluslararasıAsya Modern Bilimler Kongresi, 2020), pp. Alçin, FPGA based implementation of membership function for real time fuzzy logic application, in International Asian congress on Contemporary Sciences-3, 3. Bilgisayar Bilimleri ve Teknolojileri Dergisi 1(1), 1–9 (2020)į. Alçın, Bilgisayar Bilimleri ve Teknolojileri Dergisi Bulanık Mantık Üyelik Fonksiyonlarının Fpga Üzerinde Gerçeklenmesi.
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#Matlab 64 bit full download 2016 generator#
Alçın, İ Pehlivan, İ Koyuncu, Hardware design and implementation of a novel ANN-based chaotic generator in FPGA. Güler, Mikrodenetleyici denetimli EKG simülatörü, in 15th National Biomedical Engineering Meeting. Tokman, Clinical engineering standards and practices, in Clinical Engineering Handbook, 2nd edn, ed. Ali, The impact of calibration on medical devices performance and patient safety. Abraham, Signal processing, in: Applied Underwater Acoustics, ed. Cvetkovic, Wavelets in biomedical signal processing and analysis, in Encyclopedia of Biomedical Engineering, vol. In this study, it has been shown that FPGA-based ECG signal generation system can be implemented on FPGA chips, and the designed system can be safely used in ECG simulators.ī. The maximum operating speed of this system is 651.827 MHz. The FPGA chip resource consumption values obtained after the place–route process, the test results obtained from the design, the MSE (mean squared error) values of the designed signals, the operating frequencies of the system and each signal have been presented. Matlab-based ECG signals were taken as reference and compared with the results obtained from the FPGA-based ECG signals design.
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The ECG signals were modelled with a 14-bit AD9767 DAC module that worked in coherence with this development board, and observed in real-time by 4 channel oscilloscope. These signals were synthesized for the Zynq-7000 XC7Z020 FPGA chip for using in biomedical calibration applications and ECG simulators. The mathematical extrapolation of the signals was created in accordance with the literature and after examining the time and amplitude values of many ECG signals from the Physiobank ATM section of the MIT-BIH (Massachusetts Institute of Technology-Beth Israel Hospital) arrhythmia database.
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In this study, eight arrhythmic ECG signals from vital signals were designed mathematically, and then modelled on FPGA by VHDL and Xilinx-Vivado software.