Mahalanobis Taguchi System을 이용한 파킨슨병 환자의 음성분석을 통한 진단에 관한 연구

• 영문명: Diagnosis of Parkinson's Disease through Voice disorder Using Mahalanobis Taguchi System
• 발행기관: 한국산업경영시스템학회
• 저자명: 홍정의(Jung-eui Hong)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2009년 추계학술대회 논문집, 11~14쪽, 전체 4쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2009.07.30

영문 초록

Human voice is very sensitively reacts to human's minute physical condition. Therefore, voice disorders effects patients profoundly especially in the case of Parkinson's disease. Acoustic tools such as MDVP, can potentially measure various voice function objectively. Many different approaches have been applied for analyzing the voice disorders for diagnosis of Parkinson's disease. With the voice data of suspected Parkinson's patients from UCI machine learning repository which have 23 Parkinson's disease data and 8 healthy data, Mahalanobis Taguchi System(MTS) applied for diagnosis of Parkinson's disease. The correct diagnosis performance is compared to previous research results.

목차

1. 서론

2. MTS를 이용한 환자의 음성분석을 통한 파킨슨 병의진단

3 . 결론

키워드

MTS (Mahalanobis Taguchi System) Parkinson's disease Optimum design