NDLI: Novel Real-Time FPGA-Based R-Wave Detection Using Lifting Wavelet

Content Provider	Springer Nature Link
Author	Ma, Yurun Li, Tongqing Ma, Yide Zhan, Kun
Copyright Year	2015
Abstract	The recently emerging portable devices have given rise to a pressing demand for developing the portable electrocardiogram monitoring device (P-ECG-MD), and a good P-ECG-MD requires that its detection algorithm should guarantee both the high accuracy and the low computational complexity. In this paper, a new real-time R-wave detection algorithm is proposed and implemented on the field programmable gate array (FPGA). The ECG signal is processed by lifting wavelet, and R-wave is detected by differential operations. Both the lifting wavelet transform and the differential operations have the low spatial and temporal computational complexity. We evaluate our algorithm on several manually annotated databases such as MIT–BIH Arrhythmia database, Supraventricular Arrhythmia database and MIT–BIH ST Change database. In order to demonstrate the effectiveness of the new algorithm, experiments are conducted using MATLAB and FPGA. MATLAB simulation results obtain a high accuracy rate of over 99.8 %. FPGA experimental results obtain an average recognition rate of 99.68 %, and the resource estimation report shows that our algorithm occupies few FPGA resources.
Starting Page	281
Ending Page	299
Page Count	19
File Format	PDF
ISSN	0278081X
Journal	Circuits, Systems, and Signal Processing
Volume Number	35
Issue Number	1
e-ISSN	15315878
Language	English
Publisher	Springer US
Publisher Date	2015-04-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Electrocardiogram (ECG) R-wave detection Lifting wavelet FPGA Circuits and Systems Electrical Engineering Signal, Image and Speech Processing Electronics and Microelectronics, Instrumentation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing

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