INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
DIAGNOSIS OF ELECTROCARDIOGRAM SIGNAL USING MACH-ZEHNDER INTERFEROMETER TYPE FIR FILTER
Authors Name:
ARULKUMAR M
Unique Id:
IJSDR1911030
Published In:
Volume 4 Issue 11, November-2019
Abstract:
In modern days, very large scale integration technologies plays a vital role in consumer products, space and defence applications. Hence, recent scientific researchers focused more on achieving low power, area and delay. Here the FIR Filter is designed for detecting the cardio diseases using optical Reversible and mach-Zehnder Interferometer type. The operations of the Arithmetic Logic Unit are directly depending upon on both adders and multipliers. In normal ALU computation, the traditional Multi-Input Floating Gate based reconfigurable logic, conventional CMOS and normal reversible gate based designs are utilized for these days. Since, there is a problem that occurs in terms of heat, power loss and transmission delay. Therefore, this research focused on providing low power arithmetic computations. The major objective of this research is to provide low power and delay in ALU computation. Next, the utilization of Look up Table is optimized. In this research, the reversible logic gates are considered for constructing arithmetic and logic units as existing module. Then, proposed design depends upon optical reversible logic gates with signed Vedic multiplier for reducing the partial products and its results are better than existing design. So this result in design of the FIR Filter is very simple. In addition, the classification of the diseases is implemented by using Fuzzy classification. The overall module is designed using Verilog Hardware Description Language and tested with the help of Xilinx 14.5. The proposed method has the minimum delay of 24.266ns and the power as 2.78mW. It is noticed that the proposed method has improved by 2.06479% difference. The Proposed FIR filter design is applied for the removal of noise in Electrocardiogram signal and features are extracted using the standard signal properties and classified using fuzzy logic. The proposed method produced the best results as compared to the existing method.
"DIAGNOSIS OF ELECTROCARDIOGRAM SIGNAL USING MACH-ZEHNDER INTERFEROMETER TYPE FIR FILTER", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 11, page no.177 - 191, November-2019, Available :http://www.ijsdr.org/papers/IJSDR1911030.pdf
Downloads:
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Publication Details:
Published Paper ID: IJSDR1911030
Registration ID:206161
Published In: Volume 4 Issue 11, November-2019
DOI (Digital Object Identifier):
Page No: 177 - 191
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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