Detection of Circulatory Diseases Through Fingernails Using Artificial Neural Network

Lean Karlo Tolentino, Renz Marion Aragon, Winnie Rose Tibayan, Angelie Alvisor, Pauline Grace Palisoc, Geralyn Terte

Abstract


This study focuses on detection of circulatory diseases such as Coronary Occlusion, Congestive Heart Failure, and Congenital Heart Disease by analyzing fingernails. It used an image processing system which includes image segmentation, color threshold, and shape analysis. The fingernail database used are classified using Artificial Neural Network (ANN). The proposed detection system diagnosed 6 patients having the said diseases (3 Congenital Heart Failure, 2 Congenital Heart Disease, and 1 Coronary Occlusion). It was matched with all the findings and diagnosis of all the attending specialists. With this, it was 100% successful in detecting circulatory diseases.

Keywords


Artificial Neural Network; Circulatory Disease; Fingernails; Image Processing;

Full Text:

PDF

References


A. Singal, R. Arora. Nail as a window of systemic diseases. Indian dermatology online journal, 6(2)(2015) 67.

S. Vipra, S. Aparajit. A system for disease detection by analyzing fingernails color and texture. International Journal of Advanced Engineering Research and Science (IJAERS) 2(10)(2015) 2349-6495

V. Sharma, Manoj Ramaiya. Nail color and texture analysis for disease detection. International Journal of Bio-Science and Bio-Technology 7(5)(2015) 351-358.

E. Tamaki, K. Hoshino, Personalized color system for robust extraction of skin-color. The Virtual Reality Society of Japan, 12(4)(2007) 471– 478.

F. Noriaki, H. Kiyoshi, Fingernail detection system using differences of the distribution of the nail-color pixels. Journal of Advanced Computational Intelligence and Intelligent Informatics, 17(5) (2013).

G. Singh. Nails in systemic disease, Indian Journal of Dermatology, Venereology, and Leprology, 77(6) (2011).

T. Indi, Y. Gunge. Early stage disease diagnosis system using human nail image processing, I.J. Information Technology and Computer Science, 7(2016) 30-35.

H. Pandit, S. Dipti. The model of nail color analysis – an application of digital image processing. International Journal of Advanced Research in Computer Science and Software Engineering 3(5)(2013)

Gonzalez R.C., Woods R.E., Eddins S.L., Digital image processing using MATLAB. Prentice Hall, Upper Saddle River, New Jersey, (2004).

S. P. Rajan. Review and investigations on future research directions of mobile based telecare system for cardiac surveillance. Journal of Applied Research and Technology 13(4) (2015) 454-460.

Suzanne M. Gilboa, Jason L. Salemi, Wendy N. Nembhard, David E. Fixler, and Adolfo Correa. Mortality resulting from congenital heart disease among children and adults in the United States, 1999 to 2006. Circulation, (2010) DOI: 10.1161/CIRCULATIONAHA.110.947002

Centers for Disease Control and Prevention, and National Center for Health Statistics. Underlying Cause of Death 1999-2013 on CDC WONDER online database (Data are from the Multiple Cause of Death Files, 1999-2013, as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program). (2015).

D. Bernstein. Cyanotic congenital heart disease. In: Kliegman RM, Stanton BF, St Geme JW, Schor NF, eds. Nelson Textbook of Pediatrics. 20th ed. Philadelphia, PA: Elsevier; (2016).

G. D. Webb, J. F. Smallhorn, J. Therrien, A. N. Redington. Congenital heart disease. In: Mann DL, Zipes DP, Libby P, Bonow RO, Braunwald E, eds. Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine. 10th ed. Philadelphia, PA: Elsevier Saunders; (2015).

S. T. Sinatra. The sinatra solution: metabolic cardiology. Basic Health Publications, Inc., (2007).

S. Grace, M. Deal. Textbook of remedial massage. Elsevier Australia, (2012).

V. L. Roger. Epidemiology of heart failure. Circulation research 113(6) (2013) 646-659.

D. L. Flarey, Suzanne Smith Blancett. Cardiovascular outcomes: collaborative, path-based approaches. Jones & Bartlett Learning, (1998).

W. S. Harris, Clemens Von Schacky. The Omega-3 Index: a new risk factor for death from coronary heart disease? Preventive medicine 39(1) (2004) 212-220.

Jie-Jia Li, Jian-Ping Fu, and Jack Li. Fundamentals of Chinese Fingernail Image Diagnosis (FID). Singing Dragon, (2014).


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 2180-1843

eISSN: 2289-8131