AUSCULTATION OF A HEART AND VASCULAR ACTIVITY DURING AURICULAR NERVE STIMULATION

  • Polona Pečlin Division of Gynaecology and Obstetrics, University Medical Centre Ljubljana, Šlajmerjeva 3, 1000 Ljubljana, Slovenia
  • Janez Rozman Center for Implantable Technology and Sensors, ITIS d.o.o. Ljubljana, Lepi pot 11, 1000 Ljubljana, Slovenia
  • Renata Janež Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia
  • Nuša Bajželj 4Faculty of Sport, University of Ljubljana, Gortanova 22, 1000 Ljubljana, Slovenia
  • Samo Ribarič Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia
  • Tomislav Mirković University Medical Centre Ljubljana, Department of Anaesthesiology and Surgical Intensive Therapy, Zaloška 2, 1000 Ljubljana, Slovenia
Keywords: heart sounds, Korotkoff sounds, auricular nerve stimulation, auscultation transducer

Abstract

The principal objective of the research was to develop and test a multichannel system intended to capture heart (PCG) and Korotkoff sound (KS) signals in a human model of transcutaneous auricular nerve stimulation (tANS). In particular, the purpose was to develop contact auscultation transducers (transducers) capable of capturing PCG and KS at standard auscultation positions without and during the selective tANS. The scope was to develop transducers capable of capturing body sounds lying in a portion of the frequency spectrum between 20 Hz and 200 Hz. They should be as insensitive as possible to external sound or ambient noise and should be capable of compensating for friction noise due to body movements. The system developed consisted of five transducers, where four of them were intended for the auscultation of PCG generated by heart valves, while one of them was intended to capture KS. The functionality of the transducers was tested in the female model by applying four of transducers to the standard positions on the chest and one over the Brachial artery. The results show that the system developed was highly sensitive to PCG and KS, and less sensitive to external ambient sounds and friction noise. Namely, the S1 and S2 heart-sound peaks are present clearly in the recorded PCG signal as well as during the tANS. It was also shown that during the tANS, heart cycles became slightly shorter and, thus, the heart rhythm slightly higher. Finally, during the tANS, both heart sounds S1 and S2 became louder. In conclusion, the findings provide some evidence that the sounds captured by the transducers emanate from the organs under study and are related to their activity and tANS.

References

1. M. Elgendi, TERMA Framework for Biomedical Signal Analysis: An Economic-Inspired Approach, Biosensors, 55 (2016) 6, doi.org/10.3390/bios6040055

2. T. Rahman, A. T. Adams, M. Zhang, E. Cherry, B. Zhou, H. Peng, T. Choudhury, BodyBeat: a mobile system for sensing nonspeech body sounds, Proc. of the 12th annual international conference on Mobile systems, applications, and services, Bretton Woods 2014, 2–13, doi.org/10.1145/2594368.2594386

3. S. Nirjon, R. F. Dickerson, P. Asare, Q. Li, D. Hong, J. Stankovic, P. Hu, G. Shen, X. Jiang, Auditeur: A mobile-cloud service platform for acoustic event detection on smartphones, MobiSys., 13 (2013), 403–416

4. K. Yatani, K. Truong, Bodyscope: A wearable acoustic sensor for activity recognition, Proc. of the 2012 ACM Conference on Ubiquitous Computing, Pittsburgh 2012, 341–350, doi.org/10.1145/2370216.2370269

5. M. Elgendi, R. Fletcher, Y. Liang, N. Howard, N. H. Lovell, D. Abbott, K. Lim, R. Ward, The use of photoplethysmography for assessing hypertension, npj Digit. Med., 2 (2019) 60, doi.org/10.1038/s41746-019-0136-7

6. M. A. A. Hamid, M. Abdullah, N. A. Khan, Y. M. A. AL-Zoom, Biotechnical System for Recording Phonocardiography, International Journal of Advanced Computer Science and Applications (IJACSA), 10 (2019) 8, doi.org/10.14569/IJACSA.2019.0100864

7. P. S. Vikhe, N. S. Nehe, V. R. Thool, Heart Sound Abnormality Detection Using Short Time Fourier Transform and Continuous Wavelet Transform, Proc. of the 2009 Second International Conference on Emerging Trends in Engineering & Technology, Nagpur 2009, 5054, doi:10.1109/ICETET.2009.112

8. A. Ramović, L. Bandić, J. Kevrić, E. Germović, A. Subasi, Wavelet and Teager energy operator (TEO) for heart sound processing and identification, Proc. of the CMBEBIH 2017, Sarajevo 2017, 495502

9. https://www.healio.com/cardiology/learn-the-heart/cardiology-review/topic-reviews/heart-sounds

10. R. J. Oweis, H. Hamad, M. Shammout, Heart Sounds Segmentation Utilizing Teager Energy Operator, Journal of Medical Imaging and Health Informatics, 4 (2014) 4, 488499, doi.org/10.1166/jmihi.2014.1292

11. M. McGregor, M. B. Rappaport, H. B. Sprague, A. L. Friedlich, The calibration of heart sound intensity, Circulation, 13 (1956) 2, 252256, doi:10.1161/01.cir.13.2.252

12. C. Ahlström, Processing of the Phonocardiographic Signal−Methods for the Intelligent Stethoscope, Linköping Studies in Science and Technology, Thesis No. 1253, Linköping University, Institute of Technology, Linköping 2006

13. V. N. Varghees, K. I. Ramachandran, A novel heart sound activity detection framework for automated heart sound analysis, Biomedical Signal Processing and Control, 13 (2014), 174–188, doi:10.1016/j.bspc.2014.05.002

14. T. H. Chowdhury, K. N. Poudel, Y. Hu, Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals, IEEE Access, 8 (2020) 160882160890, doi:10.1109/access.2020.3020806

15. J. Zhong, F. Scalzo, Automatic heart sound signal analysis with reused multi-scale wavelet transform, International Journal of Engineering Science, 2 (2013) 50, 5057

16. B. M. Whitaker, P. B. Suresha, C. Liu, G. D. Clifford, D. V. Anderson, Combining sparse coding and time-domain features for heart sound classification, Physiol. Meas., 38 (2017) 8, 17011713, doi:10.1088/1361-6579/aa7623

17. P. Langley, A. Murray, Heart sound classification from unsegmented phonocardiograms, Physiol. Meas., 38 (2017) 8, 16581670, doi:10.1088/1361-6579/aa724c

18. R. N. Bracewell, The Fourier transform, Scientific American, 260 (1989) 6, 86-89, 92-95, doi:10.1038/scientificamerican0689-86

19. J. Zhong, F. Scalzo, Automatic heart sound signal analysis with reused multi-scale wavelet transform, International Journal of Engineering and Science, 2 (2013) 7, 5057

20. P. Malema, Watch: the world's quietest room is so quiet, you can hear the sound of your heart beat, https://www.jacarandafm.com/shows/workzone-with-barney-simon/watch-worlds-quietest-room-so-quiet-you-can-hear-sound-your-heart-beat/

21. E. P. McCutxheon, R. F. Rushmer, Korotkoff Sounds an experimental critique, Circulation Research, 20 (1967) 2, 149161, doi: 10.1161/01.res.20.2.149

22. https://trovalarisposta.com/biblioteca/articolo/read/107225-what-are-korotkoff-sounds-and-what-do-they-represent

23. https://en.wikipedia.org/w/index.php?title=Korotkoff_sounds&oldid=1101143114

24. M. Al-Amri, M. Nizar, A. Alzaben, M. Fadlee, Characteristics of Korotkoff sounds using instantaneous frequency signal analysis, WSEAS Transactions on Signal Processing, 3 (2007), 296302, https://orca.cardiff.ac.uk/id/eprint/43767

25. B. Wilk, R. Hanus, Blood flow in the brachial artery compressed by a cuff, EPJ Web of Conferences, 213 (2019), 02099, doi.org/10.1051/epjconf/201921302099

26. H. Xiang, Y. Liu, Y. Qin, Z. Cao, T. Guo, M. Yu, A pilot application of Korotkoff sound delay time in evaluating cardiovascular status, Technology and Health Care, 23 (2015), S419–S426, doi:10.3233/THC-150978

27. C. D. Kapse, B. R. Patil, Auscultatory and Oscillometric methods of Blood pressure measurement: a Survey, International Journal of Engineering Research and Applications (IJERA), 3 (2013) 2, 528533

28. A. Bhaskar, A simple electronic stethoscope for recording and playback of heart sounds, Adv. Physiol. Educ., 36 (2012), 360–362, doi:10.1152/advan.00073.2012

29. A. M. Noor, M. F. Shadi, The heart auscultation. From sound to graphical, Journal of Engineering and Technology (JET), 4 (2013) 2, 73-84

30. C. N. Gupta, R. Palaniappan, S. Rajan, S. Swaminathan, S. M. Krishnan, Segmentation and classification of heart sounds, Proc. of the Can. Conf. Electrical Comput. Eng., Saskatoon 2005, 1674–1677, doi:10.1109/CCECE.2005.1557305

31. D. A. Sykes, K. McCarty, E. Mulkerrin, D. J. Fisher, J. P. Woodcock, Correlation between Korotkoff's sounds and ultrasonics of the brachial artery in healthy and normotensive subjects, Clin. Phys. Physiol. Meas., 12 (1991) 4, 327331, doi:10.1088/0143-0815/12/4/002

32. W. C. Kao, C. C. Wei, Automatic phonocardiograph signal analysis for detecting heart valve disorders, Expert Systems with Applications, 38 (2011) 6, 64586468, doi.org/10.1016/j.eswa.2010.11.100

Published
2023-01-25
How to Cite
1.
PečlinP, Rozman J, JanežR, BajželjN, RibaričS, Mirković T. AUSCULTATION OF A HEART AND VASCULAR ACTIVITY DURING AURICULAR NERVE STIMULATION. MatTech [Internet]. 2023Jan.25 [cited 2026Jun.13];57(1):91–100. Available from: https://mater-tehnol.si/index.php/MatTech/article/view/700

Most read articles by the same author(s)