Paper Example on Field Programmable Gate Array

FPGA which stands for field programmable gate array which is an integrated circuit (IC). It can be programmed in the field after it is manufactured and happen to have or operate in similar principles as the programmable read-only memory (PROM) but have vastly wide potential of application, unlike the PROM chips (Aggarwal & Mehra, 2011). They are silicon chips which use prebuilt logic blocks and programmable routing resources, and one can configure them on any custom hardware without the need of having to pick any breadboard or soldering iron. In the medical field, FPGA is implemented or applicable in different ways for example in the implementation of artificial neural network which is its application in the medical expert systems. This paper focuses on some of the implementation or the applications of FPGA in the medical field.

The implementation of FPGA on an Artificial Neural Network (ANNs) which are compositions for the Medical expert systems (MES) which are used in the focus on pulmonary diseases. Due to the reconfigurability of FPGA new structure and training patterns can be easily used to update the Medical Expert Systems on order for the systems to fit more pulmonary or other diseases with very little effort due to the advantages FPGA (Guo et al., 2011). This is one of the main applications of FPGA in the medical field, and its advantage can be clearly realized pertaining the field it is used.

It is also applicable in the bioinformatics and the computational biology, and due to the increase in the number of processing capabilities required in both field, the data types and computation cores suited for this fields are well compatible for field programmable gate array but in this case the challenge comes in when identifying the design technique that can exact high-performance potential from the FPGA as seen it's the key requirement in both field (Cong, Huang & Zou, 2011). FPGA being a digital circuit processor it can be used to handle any issue on signal processing in bio medics, it can be used in the design of a heart rate sensing which processes in FPGA.

FPGA can be used to improve imaging techniques such as the optical coherence tomography. As seen medical imaging plays a critical role in the clinical process touching on all corners the diagnostics to treatment then to surgery and also medical research. Diseases are difficult to see since they are hidden inside the body hence a technique that enables the clinicians to see noninvasively the different areas are very critical to the advancement of the medical field. The involvement of FPGA plays a huge part in this due to its features (Wei & Soleimani, 2013). In the continuous advancement in this field use of FPGA enables the designers to come up with flexible designs as well as help the designers try out different new ideas as well as reduce the system development process. In medical imaging, FPGA are used in the detection and image construction where the application involves embedded systems which require real-time performance of the system. The image reconstruction process is also a high-performance computing process which works well on the FPGA. Also under medical imaging FPGA is used in the implementation of sophisticated imaging algorithms which run smoothly on FPGA (Chiuchisan, 2013). A few other worth mentions of the application of FPGA in the medical field includes radio frequency identification, minimally inverse surgery platforms among much more application. The FPGA is managed to be implemented within the medical field, and its used has resulted to so many changes in the field.

References

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