Pengolahan Citra Digital EKG Rumah Sakit Tk.IV Samarinda

  • Anggriya Feby Setyowati Program Studi Fisika FMIPA Universitas Mulawarman
  • Pratiwi Sri Wardani Program Studi Fisika Universitas Mulawarman
  • Erlinda Ratnasari Putri Program Studi Fisika Universitas Mulawarman
  • Devina Rayzy Perwitasari Sutaji Putri Program Studi Fisika Universitas Mulawarman

Abstract

In the hospital itself, especially in the MCU Poly Radiology Installation, it is a unit that performs services such as Medical Check Up, making health certificates, and carrying out routine checks at an institution. ECG examination is one of the services most frequently performed routinely by patients. Examinations carried out include medical check-ups, monitoring of long-term therapy, patient to assessment before surgery, individual screening for high-risk jobs, examinations before participating in sporting events, and overall examinations as a condition of employment. This study carried out the process of withdrawing information or object descriptions or identifying objects contained in images by compressing or reducing image data. By using EKG data from TK.IV Samarinda Hospital by carrying out processing stages such as converting analog data to digital, cropping, and applying filters to EKG images. After the filter is applied to the image, it is found that after 5 types of image processing (RGB Image, Grayscale Image, Binary Image, Thresholding Image, and Edge Detection Image) on the results of the ECG signal it can be concluded that the processed signal retains the features of the existing signal and information. . Of the five types of processing methods, the clearest result is conversion to Edge Detection imagery.

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References

[1] E. d. F. Afandy, "Aplikasi Pengolahan Citra Elektrokardiograf dan Jaringan Tiruan untuk Identifikasi Penyakit Jantung Koroner," Junal Fiska dan Aplikasinya, vol. 2, pp. 060201-1 - 060201-8, 2006.
[2] J. A. d. N. Amalia, "Pengolahan Citra pada SInyal EKG," Media Elektrika, vol. 11, pp. 27 - 33, 2018.
[3] D. R. d. Fisiologi, "Anatomi dan Fisiologi Kompleks Mitral," Jurnal Kesehatan Andalas, pp. 103-112, 2018.
[4] H. P. Wahyuningsih, Bahan Ajar Kebidanan : Anatomi Fisiologi, KEMENTERIAN KESEHATAN REPUBLIK INDONESIA, 2017.
[5] N. F. d. C. Sumiarty, Asuhan Keperawatan: Pada Pasien Dengan Penyakit Jantung Koroner, Bogor: WH Press, 2020.
[6] Saryono, EKG Cara Praktis Baca Elektrografi, Yogyakarta: Medical Coor, 2014.
[7] F. A. Hermawati, Pengolahan Citra Digital, Yogyakarta: ANDI, 2013.
[8] A. Rinaldi, "Implementation ofWireless Sensor Network (WSN) to calculate air pollution index of Samarinda City," IOP Conf. Series: Journal of Physics, vol. 55, no. 5, pp. 15-25, 2019.
Published
2024-06-27
How to Cite
SETYOWATI, Anggriya Feby et al. Pengolahan Citra Digital EKG Rumah Sakit Tk.IV Samarinda. Progressive Physics Journal, [S.l.], v. 5, n. 1, p. 343-349, june 2024. ISSN 2722-7707. Available at: <https://jurnal.fmipa.unmul.ac.id/index.php/ppj/article/view/1037>. Date accessed: 30 june 2024. doi: https://doi.org/10.30872/ppj.v5i1.1037.

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