Optimization Audicor for Normal and Abnormal Heart Sounds Characteristic

Main Article Content

Dedi Kurniadi
Surfa Yondri
Albar
Roza Susanti
David Eka Putra
Gwo-Jia Jong

Abstract

Heart Sounds are important things in the human body that can deliver information related to the heart condition. However, a recorded signal such as PCG and ECG that getting through Audicor still contain unexpected components or noise while the recording process happens it makes the result data from Audicor cannot directly use to recognize the condition of the heart. This research presents signal processing and data analysis to suppress the noise of the heart sounds that getting while the process of recording data happens. The cleaned heart sound will be processed in feature extraction by using FFT and PCA that capable to produce the feature both of the normal and abnormal heart sounds. For the normal case, we get the data from some healthy volunteers recorded by using Audicor. While the abnormal heart sound we focus to observe the data that contain Ventricular Septal Defect (VSD) that getting from a partner hospital.  As a result, feature both normal and abnormal heart sounds can be separated.

Article Details

How to Cite
[1]
D. Kurniadi, S. Yondri, Albar, R. Susanti, D. Eka Putra, and G.-J. Jong, “Optimization Audicor for Normal and Abnormal Heart Sounds Characteristic”, Int. J. Data. Science., vol. 1, no. 2, pp. 99-106, May 2020.
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Articles

References

A. Gharehbaghi, M. Borga, B. J. Sjöberg, and P. Ask, “A novel method for discrimination between innocent and pathological heart murmurs,” Med. Eng. Phys., vol. 37, no. 7, pp. 674–682, 2015.

Kurniadi, D., Kung, Y.-F., Chen, Z.-H., Li, Y.-P., Hendrick, & Jong, G.-J. (2018). “Implemented the expert system of heart disease by using SVM”, 2018 IEEE International Conference on Applied System Invention (ICASI).

L. Hamza Cherif, S. M. Debbal, and F. Bereksi-Reguig, “Segmentation Of Heart Sounds and Heart Murmurs,” Journal of Mechanics in Medicine and Biology. 2008.

Kurniadi, D., Kung, Y.-F., Chen, Z.-H., Li, Y.-P., Hendrick, & Jong, G.-J. (2018). “Implemented the expert system of heart disease by using SVM”. 2018 IEEE International Conference on Applied System Invention (ICASI).

P. S. Vikhe, N. S. Nehe, and V. R. Thool, “Heart Sound Abnormality Detection Using Short Time Fourier Transform and Continuous Wavelet Transform,” 2009 Second Int. Conf. Emerg. Trends Eng. Technol., no. 1, pp. 50–54, 2009.

W. et al. Barma, Shovan; Chen, Bo-Wei; Ji, “Detection of the Third Heart Sound Based on Nonlinear Signal Decomposition and Time-Frequency Localization IF3.57 Q1,” vol. 63, no. 8, pp. 1718–1727, 2016.

Andrizal, R. Chadry, and A. I. Suryani, “Embedded System Using Field Programmable Gate Array (FPGA) myRIO and LabVIEW Programming to Obtain Data Patern Emission of Car Engine Combustion Categories,” JOIV Int. J. Informatics Vis., vol. 2, no. 2, p. 56, 2018.

“How the Heart Works - Topic Overview.” [Online]. Available: https://myhealth.alberta.ca/health/pages/conditions.aspx?Hwid=tx4097abc. [Accessed: 09-Apr-2018].

Video Pembelajaran : Sistem Peredaran Darah Manusia - YouTube.” [Online]. Available: https://www.youtube.com/watch?v=j0t8Lif8NZc. [Accessed: 10-May-2019].

A. K. Abbas and R. Bassam, “Phonocardiography Signal Processing,” Synth. Lect. Biomed. Eng., vol. 4, no. 1, pp. 1–194, 2009.

“Flow through the heart (video) | Khan Academy.” [Online]. Available: https://www.khanacademy.org/science/health-and-medicine/circulatory-system/circulatory-system-introduction/v/lub-dub. [Accessed: 24-Apr-2018].

A. Mondal, P. Bhattacharya, and G. Saha, “An automated tool for localization of heart sound components S1, S2, S3 and S4 in pulmonary sounds using Hilbert transform and Heron’s formula,” Springerplus, vol. 2, no. 1, pp. 1–14, 2013.

Aripriharta, “The Biomedical Signal Processing Combined with Internet of Things The Biomedical Signal Processing Combined with Internet of Things,” 2017.

M. Nassralla, Z. El Zein, and H. Hajj, “Classification of Normal and Abnormal Heart Sounds,” 2017.

L. Huiying, L. Sakari, and H. Iiro, “A heart sound segmentation algorithm using wavelet decomposition and reconstruction,” Proc. 19th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. ’Magnificent Milestones Emerg. Oppor. Med. Eng. (Cat. No.97CH36136), vol. 4, no. C, pp. 1630–1633, 1997.

A.Wang andT. M.Bashore, Valvular Heart Disease. 2009.

“Ventricular Septal Defect (VSD).” [Online]. Available: http://www.stanfordchildrens.org/en/topic/default?id=ventricular-septal-defect-vsd-90-P01829. [Accessed: 24-Apr-2018].

“Ventricular Septal Defect (VSD) in Children | Phoenix Children’s Hospital Heart Center.” [Online]. Available: http://heart.phoenixchildrens.org/heart-conditions/ventricular-septal-defect-vsd-children. [Accessed: 24-Apr-2018].

“Ventricular septal defect (video) | Khan Academy.” [Online]. Available: https://www.khanacademy.org/science/health-and-medicine/circulatory-system-diseases/acyanotic-heart-diseases/v/rn-ventricular-septal-defect. [Accessed: 24-Apr-2018]