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The aim of this paper is to analyze the possibility of using a mobile phone with a voice recorder function as a phonocardiographic signal recorder. Test measurements were carried out by placing the phone at various points on the chest. For one selected point, measurements were carried out for a group of 120 people, using different models of mobile phones. Data on weight, height and age were collected through a survey. Participants of the study were also asked about diagnosed heart defects and potential problems related to the measurement. Signal quality was assessed using quality parameters. It was checked how the selected methods of signal pre-processing (editing of recordings, filtering) affect the values of quality parameters. The obtained recordings were subjected to automatic signal classification. The result of this work is an extended analysis of the use of mobile phones as electronic stethoscopes and an analysis of the usefulness of signals obtained using this measurement method. The results of these studies are important for the field of medical diagnostics, especially in situations where access to traditional stethoscopes is limited. If mobile phones prove to be effective recorders of phonocardiographic signals, it will open new possibilities in the field of remote heart monitoring and telemedicine. However, it should be noted that further research, including validation and comparison of results obtained with mobile phones with those obtained with traditional stethoscopes, is needed before this technology is introduced into clinical practice.
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Tom
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621--626
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
Bibliografia
- [1] F. Bolechowski: Podstawy ogólnej diagnostyki klinicznej (Basics of general clinical diagnostics), Warsaw: PZWL, 1982, pp. 230-231. ISBN 83-200-0465-9.
- [2] P. Gajewski (ed.), Interna Szczeklika 2015, Kraków: Medycyna Praktyczna (Practical Medicine), 2015; pp. 22-26.
- [3] E. Szczeklik, A. Szczeklik: Diagnostyka ogólna chorób wewnętrznych (General diagnostics of internal diseases), ed. VII, pp. 133-147, Warsaw 1979.
- [4] Y. Mohamadou, P.T. Kapen, M. Foutse et al. Design and development of a phonocardiograph for telemedicine applications. Health Technol. 12, 453-463 (2022). https://doi.org/10.1007/s12553-022-00646-x
- [5] 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, 10(8) (2019).
- [6] L. J. Thoms, G. Colicchia, R. Girwidz (2017). Phonocardiography with a smartphone. Physics Education, 52(2), 023004., https://doi.org/10.1088/1361-6552/aa51ec
- [7] N. Mamorita, N. Arisaka, R. Isonaka, T. Kawakami, A. Takeuchi, Development of a Smartphone App for Visualizing Heart Sounds and Murmurs. Cardiology. 2017;137(3):193-200. . Epub 2017 Apr 26. PMID: 28441656. https://doi.org/10.1159/000466683
- [8] D. Das et al., "Noise detection in smartphone phonocardiogram," 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 2017, pp. 6584-6585, https://doi.org/10.1109/ICASSP.2017.8005305
- [9] Hongxing Luo, Pablo Lamata, Salomé Bazin, Thea Bautista, Natsuki Barclay, Mehrdad Shahmohammadi, Jolijn M Lubrecht, Tammo Delhaas, Frits W Prinzen, Smartphone as an electronic stethoscope: factors influencing heart sound quality, European Heart Journal - Digital Health, Volume 3, Issue 3, September 2022, Pages 473-480, https://doi.org/10.1093/ehjdh/ztac044
- [10] S. Kang, B. Joe, Y. Yoon, G. Cho, I. Shin, J. Suh, Cardiac Auscultation Using Smartphones: Pilot Study JMIR Mhealth Uhealth 2018;6(2):e49 https://doi.org/10.2196/mhealth.8946
- [11] Statistics Poland / Topics / Health / Health / Percentage of persons aged 15 years and more by Body Mass Index (BMI), https://stat.gov.pl/en/topics/health/health/percentage-of-persons-aged-15-years-and-more-by-body-mass-index-bmi,11,1.html, Accessed 22 September 2023
- [12] W. Lejkowski, Innovative method of diagnostics of selected heart diseases based on time and frequency analysis of phonocardiographic signals, Doctoral dissertation, Military University of Technology, 2020.
- [13] W. Lejkowski, A.P. Dobrowolski, K. Majka, R. Olszewski, Time-frequency analysis of phonocardiographic signals, Elektronika - Konstrukcje, technologie, zastosowania. 2018;59:2-7. https://doi.org//10.15199/13.2018.2.1
- [14] Wavelet Time Scattering Classification of Phonocardiogram Data - MATLAB & Simulink Example (mathworks.com), https://www.mathworks.com/help/wavelet/ug/wavelet-time-scattering-classification-of-phonocardiogram-data.html, Accessed 22 September 2023
- [15] A. L. Goldberger, L. A. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, H. E. Stanley, (2000). PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. circulation, 101(23), e215-e220. https://doi.org/10.1161/01.CIR.101.23.e215
- [16] C. Liu et al. An open access database for the evaluation of heart sound algorithms. Physiological Measurement. Vol. 37, No. 12, 21 November 2016, pp. 2181-2213. https://doi.org/10.1088/0967-3334/37/12/2181
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-96797dac-53b7-4aaa-b5d6-9371963d8d85
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