Fetal heart rate estimation via adaptive least mean square linear prediction methods

Author

Stoughton ; Pretlow, R.A.

Author_Institution

Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA

fYear

1990

fDate

1-4 Apr 1990

Firstpage

260

Abstract

Adaptive signal processing methods are presented in support of a noninvasive ambulatory fetal heart rate monitor. Adaptive least mean square (LMS) linear prediction methods are used for fetal heart tone signature analysis and detection in the presence of background acoustic noise. The signal processing techniques designed to identify, analyze, and detect the fetal phonocardiographic signature are discussed. Subsequent evaluation of the detected fetal heart tone events are used to determine the instantaneous heart rate. Preliminary investigation has indicated that linear prediction is feasible for detecting the fetal heart tones in an advanced acoustic fetal heart rate monitor. A prediction length of eight was found to be suboptimal in minimizing the total mean square error over the training event

Keywords

biomedical ultrasonics; cardiology; filtering and prediction theory; least squares approximations; patient monitoring; signal processing; acoustic monitor; adaptive least mean square; adaptive signal processing; background acoustic noise; fetal heart rate monitor; fetal heart tone detection; fetal heart tone signature analysis; instantaneous heart rate; linear prediction methods; mean square error; noninvasive ambulatory monitor; phonocardiographic signature; training event; Acoustic noise; Acoustic signal detection; Acoustic signal processing; Adaptive signal processing; Fetal heart; Fetal heart rate; Heart rate detection; Heart rate measurement; Least squares approximation; Prediction methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '90. Proceedings., IEEE

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/SECON.1990.117812

Filename

117812