PMID- 31754217
OWN - NLM
STAT- MEDLINE
DCOM- 20201105
LR  - 20231019
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 9
IP  - 1
DP  - 2019 Nov 21
TI  - Reconfigurable Architecture for Multi-lead ECG Signal Compression with 
      High-frequency Noise Reduction.
PG  - 17233
LID - 10.1038/s41598-019-53460-3 [doi]
LID - 17233
AB  - Electrocardiogram (ECG) is a record of the heart's electrical activity over a 
      specified period, and it is the most popular noninvasive diagnostic test to 
      identify several cardiac diseases. It is an integral part of a typical eHealth 
      system, where the ECG signals are often needed to be compressed for long term 
      data recording and remote transmission. Reconfigurable architecture offers 
      high-speed parallel computation unit, particularly the Field Programmable Gate 
      Array (FPGA) along with adaptable software features. Hence, this type of design 
      is suitable for multi-channel signal processing units like ECGs, which usually 
      require precise real-time computation. This paper presents a reconfigurable 
      signal processing unit which is implemented in ZedBoard- a development board for 
      Xilinx Zynq -7000 SoC. The compression algorithm is based on Fast Fourier 
      Transformation. The implemented system can work in real-time and achieve a 
      maximum 90% compression rate without any significant signal distortion (i.e., 
      less than 9% normalized percentage of root-mean-square deviation). This 
      compression rate is 5% higher than the state-of-the-art hardware implementation. 
      Additionally, this algorithm has an inherent capability of high-frequency noise 
      reduction, which makes it unique in this field. The confirmatory analysis is done 
      using six databases from the PhysioNet databank to compare and validate the 
      effectiveness of the proposed system.
FAU - Chowdhury, Mehdi Hasan
AU  - Chowdhury MH
AUID- ORCID: 0000-0002-7645-8443
AD  - Department of EE, City University of Hong Kong, Kowloon, Hong Kong. 
      chowdhury.ee@my.cityu.edu.hk.
AD  - Department of EEE, Chittagong University of Engineering & Technology, Chittagong, 
      Bangladesh. chowdhury.ee@my.cityu.edu.hk.
FAU - Cheung, Ray C C
AU  - Cheung RCC
AD  - Department of EE, City University of Hong Kong, Kowloon, Hong Kong.
LA  - eng
PT  - Journal Article
DEP - 20191121
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
MH  - Algorithms
MH  - Computers
MH  - Data Compression/*methods
MH  - Electrocardiography/*methods
MH  - Fourier Analysis
MH  - Signal Processing, Computer-Assisted
MH  - Software
PMC - PMC6872821
COIS- The authors declare no competing interests.
EDAT- 2019/11/23 06:00
MHDA- 2020/11/06 06:00
PMCR- 2019/11/21
CRDT- 2019/11/23 06:00
PHST- 2019/03/26 00:00 [received]
PHST- 2019/10/28 00:00 [accepted]
PHST- 2019/11/23 06:00 [entrez]
PHST- 2019/11/23 06:00 [pubmed]
PHST- 2020/11/06 06:00 [medline]
PHST- 2019/11/21 00:00 [pmc-release]
AID - 10.1038/s41598-019-53460-3 [pii]
AID - 53460 [pii]
AID - 10.1038/s41598-019-53460-3 [doi]
PST - epublish
SO  - Sci Rep. 2019 Nov 21;9(1):17233. doi: 10.1038/s41598-019-53460-3.