Uneingeschränkter Zugang

An Approach to Evaluation of Clinically Healthy People by Preventive Cardio Control


Zitieren

1. Boveda, S., et al. Prognostic Value of Heart Rate Variability in Time Domain Analysis in Congestive Heart Failure. – Interv. Card. Electrophysiol, Vol. 5, 2001, pp. 181-187.Search in Google Scholar

2. Dotsinsky, I. Software Real Time QRS Detection. – In: Proc. of World Congress on Medical Physics and Biomedical Engineering, 7-12 July 1991, Kyoto, Japan. Medical & Biological Engineering & Computing (supplement), 29, p. 337.Search in Google Scholar

3. Himanshu, G., K. Silky, R. Kumar. Cardiac Arrhythmias Detection in an ECG Beat Signal Using Fast Fourier Transform and Artificial Neural Network. – Journal of Biomedical Science and Engineering, Vol. 4, 2011, pp. 289-296.10.4236/jbise.2011.44039Search in Google Scholar

4. Manukova, A., M. Grozeva, M. Marinov. Criteria for Evaluation, Methodology and Analysis of Electrocardiographic Signal Results from Experimental Studies in Preventive Control of Clinically Healthy People. – Electronics – Design, Technology, Applications, Poland, Vol. 1, 2018, pp. 40-44. DOI: 10.15199/13.2018.1.9.10.15199/13.2018.1.9Search in Google Scholar

5. Manukova, A., M. Grozeva. Methods for Increasing the Reliability of Analysis for Treatment of Electrocardiographic Signals. – In: 55th Science Conference of University of Ruse, Bulgaria, Reports Awarded with “Best Paper” Crystal Prize, 2016. ISSN 1311-3321.Search in Google Scholar

6. Prutchi, D., M. Norris. Design and Development of Medical Electronic Instrumentation: A Practical Perspective of the Design, Construction and Test of Medical Devices. Wiley-Interscience, 2004.10.1002/0471681849Search in Google Scholar

7. Rudenko, M., V. A. Zernov, O. K. Voronova. Study of Hemodynamic Parameters Using Phase Analysis of the Cardiac Cycle. – Biomedical Engineering, Springer, New York, Vol. 43, 2009, No 4, pp. 151-155.10.1007/s10527-009-9121-9Search in Google Scholar

8. A. T. Reisner, G. D. Clifford, R. G. Mark, Eds. Advanced Methods & Tools for ECG Data Analysis. Chapter 1: The Physiological Basis ofthe Electrocardiogram. Accessed on 16.08.2017. http://www.mit.edu/~gari/ecgbook/ch1.pdfSearch in Google Scholar

9. Vorobiov, L.V. ECG Analysis of Cardiac Activity of a Healthy Person. – International Journal of Applied and Fundamental Research, Vol. 10, 2016, No 4, pp. 549-553 (in Russian). ISSN 1996-3955.Search in Google Scholar

10. Manukova, A., M. Topalova, M. Grozeva. Modeling of the ECG Signal for Electronic Monitoring of Cardiac Signals in Order Preventive Control. – In: Proc. of University of Ruse, Vol. 53, 2014, Book 3.1, Electrical Engineering, Electonics, Automation, Ruse, pp. 94-98, ISBN 1311-3321 (in Bulgarian).Search in Google Scholar

11. Marchev, S. Howto Read an Electrocardiogram. LaxBook, Plovdiv, 2014, ISBN 978-619-189-002-6, 159 p. (in Bulgarian).Search in Google Scholar

12. Christov, I. T. Stoyanov. Steep Slope Method for Real Time QRS Detection. – Electrotechnics & Elecronics E+E, Vol. 1-2, 2002, pp. 13-17. http://biomed.bas.bg/en/wp-content/uploads/2012/09/QRS_detect_2002_ee.pdfSearch in Google Scholar

eISSN:
1314-4081
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Informationstechnik