Biomedical Research

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An algorithm to improve the performance of medical signal filter with implementation using arm processor

Medical signals ruined with noise like electromagnetic interference and other sources must either to be filtered or eliminated, filtering is an important issue for design thought of real time health care and other process. This work presents a better Digital filter which can be implemented easily and has around 50% less power and area improvement. Usually, digital- filters were realized with dedicated Digital Signal Processors or FPGAs. Complexity, power consumption is more in this implementation as these methods need more computations especially multiplication. For better performance the multiplications is to be minimized, but ARM based processors like Cortex M4 consists command sets and hardware structure that can effectively run this nature of the calculations. The Aim of this paper is handling the signal processing activities on an ARM Cortex M4 in its place of employing another difficult Digital Signal Processor has the understandable benefit that an additional processor is not essential. This leads to low cost, minimum board space, less power expenditure, minimum outer bus passage and lower interfacing expenses. Everything can be united into a single build process and binary and no need to do repair on many processors from various vendors. Keeping everything on one processor simplifies the structure, cost of construction and selection of ARM as the processor is a clear one. As we have complete help from all the assets on the back of ARM, including forums, libraries, development tools, and we may employ a hardware structure that has turned into a customary in the Embedded Systems society which results in optimized performance in the realized Digital filter.

Author(s): Saravanan Padmanaban, Latha B, Bhoopathy Began K