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Healthc Inform Res > Volume 6(4); 2000 > Article
Journal of Korean Society of Medical Informatics 2000;6(4):175-184.
DOI: https://doi.org/10.4258/jksmi.2000.6.4.175    Published online December 31, 2000.
Extraction of characteristic parameters for diagnosing laryngeal diseases using Automatic Response System
G Kim, Y Kim, S Kwon, G Kim, D Kim, B Yang, S Wang, G Jeon
1Department of Interdisciplinary program in Biomedical Engineering, Pusan National University, Korea.
2Department of Control and Instrumentation Engineering, Changwon National University, Korea.
3Department of Engligh, College of Humanities, Dongeui University, Korea.
4Department of otolarygology, College of Medicine, Pusan National University, Korea.
5Department of Biomedical Engineering, College of Medicine, Pusan National University, Korea.
Abstract

The early detection of laryngeal diseases increases the survival rate of laryngeal cancer and prevents radical destructive surgery. Also, it is essential to cure laryngeal cancer. The diagnosis of laryngeal diseases using ARS has many advantages being simple, fast, non-invasive. It requires a recording sound equipment in a samll space. In this study, we strived to obtain parameters to help diagnose laryngeal diseases accurately. we evaluated the voice data collected by ARS from 119 laryngeal disease patients as well as normal control group who visited the otolaryngology department of PNUH from December, 1999 to June, 2000. Twelve acoustic parameters were determined after observing the distribution and analyzing them statistically. Hit ratio was obtained by artificial neural network. Eight acoustic parameters were found to be essential differentiate to normal from laryngeal diseases group. We found that ARS can be used to diagnose laryngeal diseases and the parameters and detection programs lead to robust output.

Key Words: ARS, Parameter, Laryngeal Disease, Diagnosis, Classifier
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