Fetal Heart Rate Deceleration Detection from the Discrete Cosine Transform Spectrum

Author

Warrick, Philip A. ; Precup, Doina ; Hamilton, Emily F. ; Kearney, Robert E.

Author_Institution

Dept. of Biomed. Eng., McGill Univ., Montreal, Que.

fYear

2006

Firstpage

5555

Lastpage

5558

Abstract

Automated detection of decelerations in fetal heart rate (FHR) signals can be posed as a problem of signal detection in the presence of noise. We present an algorithm that adaptively selects the resolution of analysis and uses the discrete cosine transform (DCT) to describe the spectrum at short-term and longer-term scales. In so doing we generate near-orthogonal and scale-invariant features that are presented to a feedforward neural network for classification

Keywords

discrete cosine transforms; electrocardiography; feedforward neural nets; medical signal detection; medical signal processing; noise; obstetrics; signal classification; discrete cosine transform spectrum; feedforward neural network; fetal heart rate deceleration detection; near-orthogonal features; noise; scale-invariant features; signal classification; signal detection; Acceleration; Biomedical monitoring; Discrete cosine transforms; Feedforward neural networks; Fetal heart rate; Heart rate; Heart rate detection; Karhunen-Loeve transforms; Neural networks; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1615743

Filename

1615743