We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Time Domain Method for Calculation of Heart Rate Variability

by Imteyaz Ahmad
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 40
Year of Publication: 2020
Authors: Imteyaz Ahmad
10.5120/ijca2020920482

Imteyaz Ahmad . A Time Domain Method for Calculation of Heart Rate Variability. International Journal of Computer Applications. 176, 40 ( Jul 2020), 14-17. DOI=10.5120/ijca2020920482

@article{ 10.5120/ijca2020920482,
author = { Imteyaz Ahmad },
title = { A Time Domain Method for Calculation of Heart Rate Variability },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 40 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number40/31466-2020920482/ },
doi = { 10.5120/ijca2020920482 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:40:57.101636+05:30
%A Imteyaz Ahmad
%T A Time Domain Method for Calculation of Heart Rate Variability
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 40
%P 14-17
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The significance of extracting the RR interval is to determine the length of heart beat interval., since HRV is physiological phenomenon at which time interval between each heart beat varies inconsistently and therefore evaluated by measuring inter-beat time interval fluctuations. Hence a reliable and accurate QRS detection algorithm is required. Modified Pan Tompkins method is used for QRS and RR time interval detection. Calculation of VARIANCE (NN) and SDNN and of MITBIH ECG data comes to 1942and 44 indicates normal ANS regulating function.

References
  1. A.M. Bianchi, L. Mainardi, E. Petrucci, M.G. Signorini, M. Mainardi, S. Cerutti, "Time-variant power spectrum analysis for the detection of transient episodes in HRV signal", Biomedical Engineering IEEE Transactions on, vol. 40, no. 2, pp. 136-144, 1993.
  2. B.McA. SAYKRS (1973) Analysis of Heart Rate Variability, Ergonomics, 16:1, 17-32, DOI: 10.1080/00140137308924479
  3. M. Kobayashi and T. Musha, "1/f Fluctuation of Heartbeat Period," in IEEE Transactions on Biomedical Engineering, vol. BME-29, no. 6, pp. 456-457, June 1982, doi: 10.1109/TBME.1982.324972.
  4. The Measurement of Heart Rate Variability Spectra with the Help of a Personal ComputerOtto Rompelman ; Jos B.I.M. Snijders ; Cees J. Van Spronsen,IEEE Transactions on Biomedical EngineeringYear: 1982 | Volume: BME-29, Journal Article | Publisher: IEEE
  5. R. W. DeBoer, J. M. Karemaker and J. Strackee, "Comparing Spectra of a Series of Point Events Particularly for Heart Rate Variability Data," in IEEE Transactions on Biomedical Engineering, vol. BME-31, no. 4, pp. 384-387, April 1984, doi: 10.1109/TBME.1984.325351.
  6. AN Kalinichenko, MI Nilicheva, SV Khaseva, OD Yurieva, and OV Mamontov, Signal stationary assessment for the Heart Rate Variability Spectral Analysis, 2008; pp 965-968
  7. Akselrod S, Gordon D, Ubel FA, Shannon DC, Cohen RJ., Power Spectrum analysis of heart rate fluctuation: a quantitative probe of beat to beat cardiovascular control. Science, 1981;213:220-222.
  8. Pomenraz M, Macaulay RJB, Caudill MA, Kurtz I, Adam D, Gordon D, Kilborn KM, Berger AC, Shannon DC, Cohen RJ, Benson M, Assessment of autonomic functions in humans by heart rate spectral analysis. Am J Physiol, 1985;248:H151-H153.
  9. Luczak H, Lauring WJ. An analysis of heart rate variability. Ergonomics. 1973;16:85-97.
  10. Scherer P, Ohler JP, Hirche H, Hopp H-W. Definitions of beat to beat parameter of heart rate variability. PACE pacing Clin Electophysiol. 1993;16:939.
  11. Berger RD, Akselrod S, Gordon D, Cohen RJ. An efficient algorithm for spectral analysis of heart rate variability. IEEE Transaction Biomed Engg., 1986;33;900-904.
  12. Malik M, Camm AJ. Components of heart rate variability: what they really mean and what we really measure. AM J Cardiol, 1993;72:821-822.
  13. Ahlstrom ML, Tompkins WJ (1983) Automated high-speed analysis of Holter tapes with microcomputers. IEEE Transactions on Biomedical Engineering 30: 651–657
  14. Jiapu pan and willis J. Tompkins, A Real-Time QRS Detection Algorithm, ieee transactions on biomedical engineering, vol. bme-32, no. 3,pp-230-236, march 1985
  15. P. S. Hamilton and W. J. Tompkins, "Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database," in IEEE Transactions on Biomedical Engineering, vol. BME-33, no. 12, pp. 1157-1165, Dec. 1986, doi: 10.1109/TBME.1986.325695.
  16. J. S. Sahambi, S. N. Tandon and R. K. P. Bhatt, "Using wavelet transforms for ECG characterization. An on-line digital signal processing system," in IEEE Engineering in Medicine and Biology Magazine, vol. 16, no. 1, pp. 77-83, Jan.-Feb. 1997, doi: 10.1109/51.566158.
  17. Ren-guey lee, I-chi chou, Chien-chih lai, Ming-hsiu liu, Ming-jang chiu, A novel qrs detection algorithm applied to the analysis for heart rate variability of patients with sleep apnea, Biomed. Eng. Appl. Basis Commun. 2005.17:258-262.
Index Terms

Computer Science
Information Sciences

Keywords

Heart rate variability (HRV) QRS Complex Moving average filter differentiator Finite impulse response filter RR time interval

Powered by PhDFocusTM