DocumentCode :
1582413
Title :
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
Link To Document :
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