Challenging task of identification of cardiac cycle tones: refined development of a PCG signal processing system
Автор: Altay Yeldos A., Kremlev Artem S., Sadykova Aygerim A.
Журнал: Cardiometry @cardiometry
Рубрика: Original research
Статья в выпуске: 14, 2019 года.
Бесплатный доступ
This article presents some results of processing of phonocardiography signals (PCG signals) for cardiac cycle tone identification under ambient noise of varying intensity. For PCG signal processing, proposed is a refined approach based on active band pass filter bank, which allows improving an accuracy of cardiac cycle tone identification under ambient noise. The efficiency of the application of the proposed approach has been demonstrated by the respective qualitative, quantitative results and experimental data obtained upon processing of PCG signals according the offered technique. A 3D model of the cardiac cycle tone identification system has been developed based on this conceptual idea.
Processing, phonocardiogram, cardiac cycle tones, electronic stethoscope, visualization, heart biomechanics
Короткий адрес: https://sciup.org/148308870
IDR: 148308870 | DOI: 10.12710/cardiometry.2019.14.7177
Список литературы Challenging task of identification of cardiac cycle tones: refined development of a PCG signal processing system
- WHO statistics CVD. [Online]. Available: http://www.who.int/cardiovascular_diseases/en/
- Taylor J. Learning cardiac auscultation. London: Springer-Verlag London; 2015.
- Rangayyan R. M. Biomedical signal analysis. New-York: Wiley & Sons; 2010.
- Kumar AK, Saha G. Improved computerized cardiac auscultation by discarding artifact contaminated PCG signal sub-sequence. Biomedical Signal Processing and Control. 2018;41: 48-62.
- Feng T. Design of Wireless Electronic Stethoscope Based on Zigbee. Journal of Nanjing Institute of Industry Technology. 2012;2:16.
- Singh K, Abrol P. Design and Development of a Digital Stethoscope for Cardiac Murmur. International Journal of Computer Applications. 2013;22:20-2.
- Nivethika R, Kirthika N. Design and Implementation of Digital Stethoscope with Heart Defect Detection Algorithm. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 2014;10:10327-36.
- Abhijeet K, Ritul G. An user friendly electronic stethoscope for heart rate monitoring. Journal of Applied and Fundamental Sciences. 2015;2:233-6.
- Makesheva KK, Altay EA, Sadykova AA. The phonocardiographic data recording & processing system: an effective approach. Cardiometry. 2018;12:66-8.
- Bandyopadhyaya I. A novel spectrogram based approach towards automatic lung sound cycle extraction. CALCON Conf; Calcutta, India; 2017.
- Zhumasheva ZT, Altay YA, Kremlev AS. Noise resistance processing of speech signals. ELCONRUS Intern. Conf; Univ. Eltech, Saint Petersburg, Russia; 2018.
- Adobe Audition 1.5. . Available: http://adobeaudition-rus.ru/adobe_audition.html
- MIT database. . https://www.physionet.org
- Van M.E. Analog filters design. Japan: Saunders College Publishing; 1982.
- Rakshit M, Das S. An efficient ECG denoising methodology using empirical mode decomposition and adaptive switching mean filter. Biomedical Signal Processing and Control. 2018;40:140-8.
- Stat Soft. . Available: http://statsoft.ru/resources/support/download.php
- Proteus 7.10. . Available: http://mega-avr.com.ua/proteus-7-10-sp0-vsmstudio/