Literature DB >> 26643079

FPGA Implementation of Heart Rate Monitoring System.

D Panigrahy1, M Rakshit2, P K Sahu3.   

Abstract

This paper describes a field programmable gate array (FPGA) implementation of a system that calculates the heart rate from Electrocardiogram (ECG) signal. After heart rate calculation, tachycardia, bradycardia or normal heart rate can easily be detected. ECG is a diagnosis tool routinely used to access the electrical activities and muscular function of the heart. Heart rate is calculated by detecting the R peaks from the ECG signal. To provide a portable and the continuous heart rate monitoring system for patients using ECG, needs a dedicated hardware. FPGA provides easy testability, allows faster implementation and verification option for implementing a new design. We have proposed a five-stage based methodology by using basic VHDL blocks like addition, multiplication and data conversion (real to the fixed point and vice-versa). Our proposed heart rate calculation (R-peak detection) method has been validated, using 48 first channel ECG records of the MIT-BIH arrhythmia database. It shows an accuracy of 99.84%, the sensitivity of 99.94% and the positive predictive value of 99.89%. Our proposed method outperforms other well-known methods in case of pathological ECG signals and successfully implemented in FPGA.

Entities:  

Keywords:  Electrocardiogram (ECG); Field programmable gate array (FPGA); MIT-BIH database; R peak; Shannon energy

Mesh:

Year:  2015        PMID: 26643079     DOI: 10.1007/s10916-015-0410-4

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  23 in total

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Authors:  A L Goldberger; L A Amaral; L Glass; J M Hausdorff; P C Ivanov; R G Mark; J E Mietus; G B Moody; C K Peng; H E Stanley
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2.  The impact of the MIT-BIH arrhythmia database.

Authors:  G B Moody; R G Mark
Journal:  IEEE Eng Med Biol Mag       Date:  2001 May-Jun

3.  A wavelet-based ECG delineator: evaluation on standard databases.

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Journal:  J Med Syst       Date:  2006-06       Impact factor: 4.460

6.  A fast and accurate FPGA based QRS detection system.

Authors:  Ashish Shukla; Luca Macchiarulo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

7.  Variable threshold method for ECG R-peak detection.

Authors:  Hsein-Ping Kew; Do-Un Jeong
Journal:  J Med Syst       Date:  2011-06-22       Impact factor: 4.460

8.  Optimization of noise in non-integrated instrumentation amplifier for the amplification of very low electrophysiological [corrected] signals. Case of electro cardio graphic signals (ECG).

Authors:  Guy Merlin Ngounou; Martin Kom
Journal:  J Med Syst       Date:  2014-11-08       Impact factor: 4.460

9.  Detection of ECG characteristic points using wavelet transforms.

Authors:  C Li; C Zheng; C Tai
Journal:  IEEE Trans Biomed Eng       Date:  1995-01       Impact factor: 4.538

10.  Real time electrocardiogram QRS detection using combined adaptive threshold.

Authors:  Ivaylo I Christov
Journal:  Biomed Eng Online       Date:  2004-08-27       Impact factor: 2.819

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  2 in total

1.  Optimized FPGA Implementation of the Thyroid Hormone Secretion Mechanism Using CAD Tools.

Authors:  Jaafar M Alghazo
Journal:  J Med Syst       Date:  2017-01-06       Impact factor: 4.460

2.  A Visualization System for Interactive Exploration of the Cardiac Anatomy.

Authors:  Lei Zhang; Kuanquan Wang; Fei Yang; Wenjing Lu; Kechao Wang; Yue Zhang; Xiaoqing Liang; Dongchen Han; Ying Julie Zhu
Journal:  J Med Syst       Date:  2016-04-20       Impact factor: 4.460

  2 in total

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