FPGA Implementation of Heart Rate Monitoring System

Overview

Journal J Med Syst

Specialty Medical Informatics

Date 2015 Dec 9

PMID 26643079

Citations 4

Authors

D Panigrahy

M Rakshit

P K Sahu

Affiliations

Soon will be listed here.

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.

Citing Articles

Implementation of Wavelet-Transform-Based Algorithms in an FPGA for Heart Rate and RT Interval Automatic Measurements in Real Time: Application in a Long-Term Ambulatory Electrocardiogram Monitor.

Garcia Limon J, Martinez-Suarez F, Alvarado-Serrano C Micromachines (Basel). 2023; 14(9).

PMID: 37763911 PMC: 10538181. DOI: 10.3390/mi14091748.

A fully-mapped and energy-efficient FPGA accelerator for dual-function AI-based analysis of ECG.

Liu W, Guo Q, Chen S, Chang S, Wang H, He J Front Physiol. 2023; 14:1079503.

PMID: 36814476 PMC: 9939833. DOI: 10.3389/fphys.2023.1079503.

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

Alghazo J J Med Syst. 2017; 41(2):35.

PMID: 28063016 DOI: 10.1007/s10916-016-0680-5.

A Visualization System for Interactive Exploration of the Cardiac Anatomy.

Zhang L, Wang K, Yang F, Lu W, Wang K, Zhang Y J Med Syst. 2016; 40(6):135.

PMID: 27098778 DOI: 10.1007/s10916-016-0480-y.

References

Shukla A, Macchiarulo L . A fast and accurate FPGA based QRS detection system. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2008:4828-31. DOI: 10.1109/IEMBS.2008.4650294. View

Pal S, Mitra M . Empirical mode decomposition based ECG enhancement and QRS detection. Comput Biol Med. 2011; 42(1):83-92. DOI: 10.1016/j.compbiomed.2011.10.012. View

Ngounou G, Kom M . Optimization of noise in non-integrated instrumentation amplifier for the amplification of very low electrophysiological [corrected] signals. Case of electro cardio graphic signals (ECG). J Med Syst. 2014; 38(12):152. DOI: 10.1007/s10916-014-0152-8. View

Martinez J, Almeida R, Olmos S, Rocha A, Laguna P . A wavelet-based ECG delineator: evaluation on standard databases. IEEE Trans Biomed Eng. 2004; 51(4):570-81. DOI: 10.1109/TBME.2003.821031. View

Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov P, Mark R . PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation. 2000; 101(23):E215-20. DOI: 10.1161/01.cir.101.23.e215. View

Guler N, Fidan U . Wireless transmission of ECG signal. J Med Syst. 2006; 30(3):231-5. DOI: 10.1007/s10916-005-7980-5. View

Moody G, Mark R . The impact of the MIT-BIH arrhythmia database. IEEE Eng Med Biol Mag. 2001; 20(3):45-50. DOI: 10.1109/51.932724. View

Kew H, Jeong D . Variable threshold method for ECG R-peak detection. J Med Syst. 2011; 35(5):1085-94. DOI: 10.1007/s10916-011-9745-7. View

Li C, Zheng C, Tai C . Detection of ECG characteristic points using wavelet transforms. IEEE Trans Biomed Eng. 1995; 42(1):21-8. DOI: 10.1109/10.362922. View

10.

Christov I . Real time electrocardiogram QRS detection using combined adaptive threshold. Biomed Eng Online. 2004; 3(1):28. PMC: 516783. DOI: 10.1186/1475-925X-3-28. View

11.

Cho G, Lee S, Lee T . An optimized compression algorithm for real-time ECG data transmission in wireless network of medical information systems. J Med Syst. 2014; 39(1):161. DOI: 10.1007/s10916-014-0161-7. View

12.

Roy Chowdhury S . Field programmable gate array based fuzzy neural signal processing system for differential diagnosis of QRS complex tachycardia and tachyarrhythmia in noisy ECG signals. J Med Syst. 2010; 36(2):765-75. DOI: 10.1007/s10916-010-9543-7. View

13.

CREVASSE L, Ariet M . Clinical usefulness of computerized ECG systems. J Med Syst. 1987; 11(1):21-4. DOI: 10.1007/BF00992597. View

14.

Saini I, Singh D, Khosla A . QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases. J Adv Res. 2015; 4(4):331-44. PMC: 4293876. DOI: 10.1016/j.jare.2012.05.007. View

15.

Yeh Y, Wang W . QRS complexes detection for ECG signal: the Difference Operation Method. Comput Methods Programs Biomed. 2008; 91(3):245-54. DOI: 10.1016/j.cmpb.2008.04.006. View

16.

Benitez D, Gaydecki P, Zaidi A, Fitzpatrick A . The use of the Hilbert transform in ECG signal analysis. Comput Biol Med. 2001; 31(5):399-406. DOI: 10.1016/s0010-4825(01)00009-9. View

17.

Hamilton P, Tompkins W . Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans Biomed Eng. 1986; 33(12):1157-65. DOI: 10.1109/tbme.1986.325695. View

18.

McSharry P, Clifford G, Tarassenko L, Smith L . A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans Biomed Eng. 2003; 50(3):289-94. DOI: 10.1109/TBME.2003.808805. View

19.

Thakor N, Webster J, Tompkins W . Estimation of QRS complex power spectra for design of a QRS filter. IEEE Trans Biomed Eng. 1984; 31(11):702-6. DOI: 10.1109/TBME.1984.325393. View

20.

Pan J, Tompkins W . A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985; 32(3):230-6. DOI: 10.1109/TBME.1985.325532. View