Computer-based statistical, pattern recognition of Doppler spectral waveform kinematics during fetal respiration

Author

Whitehouse, A. ; Lu, X. ; Miller, J.L.

Author_Institution

Nat. Inst. of Health, Bethesda, MD

fYear

2006

fDate

6-9 April 2006

Firstpage

880

Lastpage

883

Abstract

A computer-based statistical pattern recognition program from digitized spectral waveform envelopes of amniotic fluid displacement during fetal ´respiration´´ was developed to extract discriminant features of respiratory maturation. The accuracy of the model reached 98% in estimating maturity in 37 healthy controls. A subset of high-risk subjects was classified with 100% accuracy in relation to maturity and growth. The incorporation of computer algorithms to extract significant kinematic variables (p < ,05) using pattern-based recognition of spectral signal features may provide a method to classify respiratory-related maturation in medical practice and obtain objective clinical indices of abnormal pulmonary states

Keywords

Doppler measurement; biomedical ultrasonics; feature extraction; image classification; kinematics; medical image processing; obstetrics; pneumodynamics; statistical analysis; Doppler spectral waveform kinematics; abnormal pulmonary states; amniotic fluid displacement; computer-based statistical pattern recognition; discriminant feature extraction; fetal respiration; respiratory maturation classification; Amniotic fluid; Biomedical imaging; Computer displays; Computer vision; Fetus; Fluid flow; Kinematics; Pattern recognition; Ultrasonic imaging; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1625059

Filename

1625059