بیست و چهارمین کنفرانسی مهندسی برق ایران , 2016-05-10

Title : ( FPGA Implementation of Power and Area Efficient Compressed Sensing for Multi-Channel ECG Compression )

Authors: Narges Attarmoghaddam , سعید حسینی خیاط , Mohammad Maymandi Nejad ,

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Abstract

This paper presents the design of a low-power and area efficient hardware engine for multi-channel compression of electrocardiogram (ECG) signals. Compressed sensing (CS) is particularly well suited for low-power implementations because it can dramatically reduce circuit complexity for compression operations. We also present a CS architecture which allows power gating. Another feature of the proposed architecture is that it is suitable for multi-channel systems. The design is implemented in a certain family of FGPAs which are suited for low-power applications. Our measurement results show an effective reduction of power consumption between 20 to 40 percent at different operating frequencies using power gating technique. The power consumption of a 4-channel system and an 8-channel system is increased only by 7.1% and 11.2% respectively, compared to the single-channel system. The area of the 4-channel system and the 8-channel system compared to the single-channel system is increased only by a factor of 2.3 and 5.4, respectively.

Keywords

, Compressed sensing, ECG signal, Low power, FPGA
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@inproceedings{paperid:1059064,
author = {Attarmoghaddam, Narges and سعید حسینی خیاط and Maymandi Nejad, Mohammad},
title = {FPGA Implementation of Power and Area Efficient Compressed Sensing for Multi-Channel ECG Compression},
booktitle = {بیست و چهارمین کنفرانسی مهندسی برق ایران},
year = {2016},
location = {شیراز, IRAN},
keywords = {Compressed sensing; ECG signal; Low power; FPGA},
}

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%0 Conference Proceedings
%T FPGA Implementation of Power and Area Efficient Compressed Sensing for Multi-Channel ECG Compression
%A Attarmoghaddam, Narges
%A سعید حسینی خیاط
%A Maymandi Nejad, Mohammad
%J بیست و چهارمین کنفرانسی مهندسی برق ایران
%D 2016

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