Knowledge-based Doppler blood-velocimeter system

Author

Das, B. ; Banerjee, Swapna

Author_Institution

Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India

Volume

3

fYear

1998

fDate

21-23 Apr 1998

Firstpage

334

Abstract

A scheme of a knowledge-based Doppler blood-velocimeter system using an artificial neural network is proposed. The scheme supports feature extraction from a Doppler ultrasonography periodogram, and comparison with statistical data to make therapeutic studies on that basis. A physical model of blood flow with salient features taken into account, spectral estimation using the time varying autoregressive moving average (ARMA) model, and an artificial neural network (ANN) scheme for the determination of the coefficients of the ARMA model has been presented

Keywords

Doppler measurement; acoustic signal processing; autoregressive moving average processes; biomedical ultrasonics; blood flow measurement; feature extraction; medical expert systems; medical signal processing; neural nets; spectral analysis; statistical analysis; ARMA model; Doppler ultrasonography periodogram; artificial neural network; blood flow; coefficient determination; feature extraction; knowledge-based Doppler blood-velocimeter system; salient features; spectral estimation; statistical data; therapeutic studies; time varying autoregressive moving average model; Arteries; Artificial neural networks; Blood flow; Flowcharts; Mathematical model; Pattern recognition; Random variables; Statistical analysis; Time varying systems; Ultrasonography;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-4316-6

Type

conf

DOI

10.1109/KES.1998.725991

Filename

725991