Accession Number:

ADA411080

Title:

The Analysis of Heart Sounds Based on Linear and High Order Statistical Methods

Descriptive Note:

Corporate Author:

FIRAT UNIV ELAZIG (TURKEY) DEPT OF COMPUTER ENGINEERING

Personal Author(s):

• Ergen, Burhan
• Tatar, Yetkin

Report Date:

2001-10-25

Pagination or Media Count:

4.0

Abstract:

This paper investigates the applicability of high order statistical autoregressive AR-HOS modeling method in analyzing biomedical signals. The autoregressive AR method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is found that the AR-HOS modeling a signal produce more accurate and higher resolution spectrum than AR modeling.

Descriptors:

• *SIGNAL PROCESSING
• *ORDER STATISTICS
• *CORONARY DISEASE
• DETECTION
• HIGH RESOLUTION
• SOUND
• PATHOLOGY
• STATISTICAL PROCESSES
• HEART RATE
• HEART
• BIOMEDICINE
• BEAT SIGNALS
• ELECTROCARDIOGRAPHY

Subject Categories:

• Anatomy and Physiology
• Medicine and Medical Research
• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE