NDLI: Efficient FPGA-based VLSI architecture for detecting R-peaks in electrocardiogram signal by combining Shannon energy with Hilbert transform

Content Provider	IET Digital Library
Author	Kumar, Madam Aravind Chari, Kamsali Manjunatha
Abstract	Electrocardiogram (ECG) is a critical application in light of R-peak detection. The R-peaks are impacted by some QRS complex and noises in the current method. Basic testability, snappier execution, and confirmation choices are accomplished by the utilization of the field programmable gate array (FPGA). But, FPGA execution gives less accuracy. To battle execution trouble, another R-peak detector is proposed and relying upon the propelled peak finding logic, which incorporates a Bandpass filter and first-order differentiation process, which are done in the primary phase of the strategy. The noises in the input ECG signal are decreased in the first stage. In the subsequent stage, the smooth Shannon energy envelope (SEE) is acquired by utilizing SEE extraction and the zero phases filtering process. The false R peak is stifled by proposing a Hilbert transform (HT) in the third stage. The HT requires more hardware space and high-power utilization in the current technique. Due to this reason, Real valued Fast Fourier Transform (RFFT) and Inverse RFFT (IRFFT) techniques are proposed in the HT. In the fourth stage, R-peak acknowledgment is evaluated using Massachusetts Institute of Technology, Beth Israel Hospital (MIT-BIH) arrhythmia database and produced the average accuracy of 99.86%, sensitivity of 99.95% and the positive predictivity of 99.90%.
Starting Page	748
Ending Page	755
Page Count	8
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 6, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0201
Journal	IET Signal Processing
Publisher Date	2018-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Band-pass Filter Biology And Medical Computing Biomedical Electronics Biomedical Engineering Biomedical Measurement And Imaging Confirmation Choices Digital Signal Processing ECG Electrocardiogram Signal Electrocardiography Fast Fourier Transform Feature Extraction Field Programmable Gate Array Filtering Method in Signal Processing First-order Differentiation Process FPGA-based VLSI Architecture Function Theory And Analysis Hardware Space High-power Utilisation Hilbert Transform Integral Transforms Inverse RFFT Technique Inverse Transforms Logic And Switching Circuit Logic Circuit Medical Signal Detection Medical Signal Processing MIT-BIH Arrhythmia Database Propelled Peak Finding Logic QRS Complex R-peak Detection R-peak Pointer Real Valued Fast Fourier Transform Strategy RFFT SEE Extraction Shannon Energy Signal Detection Smooth Shannon Energy Envelope Snappier Execution VLSI Zero Phase Filtering Process
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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