Shuli Liu , Bukao Ni , Xiaobo Wang , Yanhong Yang , Mohammad Sh. Daoud , Jun Sun , Abdulilah Mohammad Mayet , Guodao Zhang , Xinjun Miao
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引用次数: 0
Abstract
Within the heart’s ventricle walls are where Purkinje fibers (PFs) are located. They are essential for maintaining a steady cardiac beat because they allow the heart’s conduction system to create synchronized contractions of its ventricles. To replicate or treat some of this organ’s ailments and deficits, hardware representation of the various heart sections is necessary. Models that include a series of differential equations can be used to characterize the performance of Purkinje Fibers (PFs) in Cardiac. To develop hardware that mimics the performance of PF of Cardiac system, the Noble model is updated in this study. Due to the requirement for using units like multipliers, the original model contains non-linear components that are slow and expensive in terms of hardware resources. The main novelty of revised model incorporates non-linear components that have been converted into two base-2 terms accompanied by additional factors. These calculations are executed through efficient and economical digital hardware, including logical shift operations, additions, and subtractions, enabling high-speed processing. To validate the precision and practicality of the suggested model, a digital platform, Virtex-7 FPGA, is employed. The findings demonstrate the suggested model’s simplicity of implementation on this board and its capability to generate various PF output patterns at a maximum frequency of 381.42 MHz. The proposed digital circuit can be applied in application-based fields according to high-speed, low-cost, and accurate design. Based on the high-switching speed of neural data transferring in the human brain, other organs that are realized on hardware platforms need to be designed in high-frequency (speed-up) for adaptation with the brain. Due to removing the non-linear terms, the modified model works 1.95 times faster than the original one and saves the FPGA resources up to 35%. In case of real-world applications, an efficient low-cost hardware design for high-frequency, accurate replication of cardiac Purkinje fiber cells has the potential to revolutionize the development of medical devices for diagnosing and treating cardiac conditions. The speed and cost-effectiveness of design make it particularly promising for the creation of advanced cardiac simulation and treatment systems. The high-speed, low-cost, and accurate hardware design has broader implications for biomedical engineering beyond the cardiac system. The ability to efficiently replicate the functions of biological systems using hardware could open doors for developing high-speed, low-cost, and accurate hardware models for simulating and understanding other biological processes, such as neural data processing in the human brain or the function of other vital organs.
期刊介绍:
Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology.
The scope of JESTECH includes a wide spectrum of subjects including:
-Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing)
-Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences)
-Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)