Sistem Cerdas Deteksi Sinyal Elektrokardiogram (EKG) untuk Klasifikasi Jantung Normal dan Abnormal Menggunakan Jaringan Syaraf Tiruan (JST)
DOI:
https://doi.org/10.21831/elinvo.v4i1.28242Keywords:
Electrocardiogram, Heart, AD8232 module, Arduino, Artificial Neural NetworkAbstract
References
F. Zennifa and H. K. Fitrilina, "Prototipe Alat Deteksi Dini dan mandiri penyakit Jantung Menggunakan Sistem Pakar VCIRS, Arduino dan Handphone Android," Universitas Andalas, 2013.
H. Author, "Coronary Heart Disease/ Indonesian (Penyakit Jantung Koroner)," Smart Patient, 2018. [Online]. Available: https://www21.ha.org.hk/smartpatient/EM/MediaLibraries/EM/EMMedia/Coronary-Heart-Disease-Indonesian-201801.pdf?ext=.pdf. [Accessed: 10-Nov-2018].
H.-Y. Shin, J.-Y. Lee, J. Song, S. Lee, J. Lee, B. Lim, H. Kim, and S. Huh, "Cause-of-death statistics in the Republic of Korea, 2014," J. Korean Med. Assoc., vol. 59, no. 3, pp. 221–232, 2016.
J. Halomoan, "Analisa Sinyal EKG dengan Metoda HRV (Heart Rate Variability)pada Domain WaktuAktivitas Berdiri dan Terlentang," in Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2013, pp. 29–35.
M. N. Sidqi, "Sistem Cerdas Deteksi Suara Untuk Pengklasifikasian Penyakit Jantung Menggunakan Jaringan Saraf Tiruan," UNY, 2018.
B. H. Centre, "Electrocardiography (EKG)," Bunda Heart Centre, 2019. [Online]. Available: http://www.bundaheartcentre.com/wp-content/uploads/2015/04/ECG_hart-normal.jpg.
H. Sulastomo, R. Kusumawati, Y. H. Suselo, N. Purwaningtyas, D. Indarto, S. A. Jusup, and R. Myrtha, Buku Manual Keterampilan Klinis Interpretasi Pemeriksaan Elektrokardiografi (EKG). Surakarta: Fakultas Kedokteran Universitas Sebelas Maret Surakarta, 2019.
A. Hermawan, Jaringan Syaraf Tiruan Teori dan Aplikasi. Yogyakarta: Penerbit Andi, 2006
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
The article published in ELINVO became ELINVO's right in publication.
This work by ELINVO is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.