Feature Extraction For Application of Heart Abnormalities Detection Through Iris Based on Mobile Devices

Entin Martiana Kusumaningtyas, Ali Ridho Barakbah, Aditya Afgan Hermawan

Abstract


As the WHO says, heart disease is the leading cause of death and examining it by current methods in hospitals is not cheap. Iridology is one of the most popular alternative ways to detect the condition of organs. Iridology is the science that enables a health practitioner or non-expert to study signs in the iris that are capable of showing abnormalities in the body, including basic genetics, toxin deposition, circulation of dams, and other weaknesses. Research on computer iridology has been done before. One is about the computer's iridology system to detect heart conditions. There are several stages such as capture eye base on target, pre-processing, cropping, segmentation, feature extraction and classification using Thresholding algorithms. In this study, feature extraction process performed using binarization method by transforming the image into black and white. In this process we compare the two approaches of binarization method, binarization based on grayscale images and binarization based on proximity. The system we proposed was tested at Mugi Barokah Clinic Surabaya.  We conclude that the image grayscale approach performs better classification than using proximity.

Keywords


Iridology; Feature Extraction; Grayscale; Binarization; Thresholding.

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References


https://en.wikipedia.org,, 2017, Heart. Retrieved 26 11 16, from https://en.wikipedia.org/wiki/Heart

https://id.wikipedia.org, 2008, Jantung. Retrieved 26 11 16, from https://id.wikipedia.org/wiki/Jantung#Penyakit_jantung

http://www.who.int, 2017, The top 10 causes of death. Retrieved 30 01 17, from http://www.who.int/mediacentre/factsheets/fs310/en/

https://health.detik.com, 2013, Mau Cek Kesehatan Jantung? Ini Dia Jenis-jenisnya,. Retrieved 26 11 16, from https://health.detik.com/read/2013/03/20/132737/2198898/775/mau-cek-kesehatan-jantung-ini-dia-jenis-jenisnya.

E. Ernst, M.H Cohen, J. Stone, “Ethical problems arising in evidence based complementary and alternative medicine”; J Med Ethics 2004,30:156-159

B. Jensen, Science and Practice of Iridology, 2005.

Saparudin, Edvin Ramadhan, Identifikasi Kelainan Jantung Menggunakan Pola Citra Digital Electrocardiagram, Sriwijaya University, 2012.

B. S. Widodo, “Wavelet-Based Treatment for Heart Gesture Detection of Myocardial Abnormalities Method Using High-Speed QRS Detection,” 2009.

Aulia Fitriana Sari, 2014, Iris Recognition For Detection Of Liver Organ Disorders, EEPIS.

Sigit, Riyanto et al, “Development Healthcare Kiosk for Checking Heart Healt”, EMITTER International Journal of Engineering Technology, Vol 3, No 2, pp 99-114, 2015.

N. Fauziah, "Iridology Application for Kidney Condition Analysis through Iris Eye Imagery," 2014.

Martiana, Entin K. et al, “Auto Cropping On Iris Image For Iridology Using Histogram Analysis”, Knowledge Creation and Intelligent Computing, pp 42-46, 2016.

Martiana, Entin K. et al,“Application For Heart Abnormalities Detection Through Iris”, International Electronics Symposium, pp 319-326, 2016.

Martiana, Entin K. et al,“Auto Cropping For Application of Heart Abnormalities Detection Through Iris Based on Mobile Devices ”, International Electronics Symposium, pp 319-326, 2017.

Lin M, Naimin Li, Texture Feature Extraction and Classification for Iris Diagnosis, Springer-Verlag Berlin Heidelberg 2007, ICMB 2008, LNCS 4901, pp. 168–175, 2007.




DOI: 10.24003/emitter.v5i2.202

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