Browse > Article
http://dx.doi.org/10.9717/kmms.2022.25.9.1251

Development of a Multi-Modal Physiological Signals Measurement-based Wearable Device for Heart Sounds Analysis  

Lee, Soo Min (Dept. of Biomedical Eng., Graduate School of Medicine, Keimyung University)
Lee, Mi Ran (Dept. of Computer and Information Engineering, Daegu University)
Wei, Qun (Dept. of Biomedical Eng., School of Medicine, Keimyung University)
Park, Hee Joon (Dept. of Biomedical Eng., School of Medicine, Keimyung University)
Publication Information
Journal of Korea Multimedia Society / v.25, no.9, 2022 , pp. 1251-1256 More about this Journal
Abstract
Auscultation of heart sounds using a stethoscope is the basic method to diagnose the cardiovascular disease and observation of abnormalities. However, the heart sound transmitted to the ear through the stethoscope is greatly affected by internal sounds such as organ movement or breathing. In addition, the user's experience significantly influences the accuracy of the auscultation result. Therefore, in this paper, we developed a wearable device that simultaneously measures heart sound and PPG signals for cardiac condition monitoring. The structure of the proposed device is designed to simultaneously measure heart sound and PPG signals when worn on a finger and placed on the chest. A prototype was implemented according to the design structure, and it was confirmed that the performance of measurements and collection for physiological signals was excellent through experiments.
Keywords
Heart Sounds; PPG signal; Wearable Device; Caridac Monitoring; Simultaneously Measurements;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J.L. Moraes, M.X. Rocha, C.G. Vasconcelos, J.E.V. Filho, V.C. Albuquerque, and A.R. Alexandria, "Advances in Photopletysmography Signal Analysis for Biomedical Applications," Sensors, Vol. 18, No. 6, pp. 1894, 2018.
2 P. Leijdekkers and V. Gay, "Personal Heart Monitoring System Using Smart Phones to Detect Like Threatening Arrhyrthmias," 19th IEEE Symposium on Computer-Based Medicla Systems(CBMS' 06), pp. 157-164, 2006.
3 A.F. Otoom, E.E. Abdalllah, Y. Kilani, A. Kefaye, and M. Ashour, "Effective Diagnosis and Monitoring of Heart Disease," International Journal of Software Engineering and Its Applications, Vol. 9, No. 1, pp. 143-156, 2015.
4 M. Tavakol, S. Ashraf, and S.J. Brener, "Risks and Complications of Coronary Angiography: A Comprehensive Review," Global Journal of Health Science, Vol. 4, No. 1, p. 65, 2012.
5 T. Syeda-Mahmood and F. Wang, "Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection," European Conference on Computer Vision, pp. 568-581, 2008.
6 C. Will, K. Shi, S. Schellenberger, T. Steigleder, F. Michler, J. Fuchs, et al., "Radar-Based Heart Sound Detection," Scientific Reports, Vol. 8, No. 1, pp. 1-14, 2018.
7 S. Lee, Q. Wei, and H. Park, "Development of High-Accuracy Automatic Identification Algorithm for First and Second Heart Sounds Using Vascular Transit Time," J ournal of Korea Multimedia Society, Vol. 24, No. 11, pp. 1500-1507, 2021.
8 S. Mangione and L.Z. Nieman, "Cardiac Auscultatory Skills of Internal Medicine and Family Practice Trainees : A Comparison of Diagnostic Proficiency," J ournal of American Medical Association (JAMA) , Vol. 278, No. 9, pp. 717-722, 1997.   DOI