VHDL Modeling Of Fetal QRS Complex Detection Algorithm

Citation

Tan, Hung Khoon (2004) VHDL Modeling Of Fetal QRS Complex Detection Algorithm. Masters thesis, Multimedia University.

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Abstract

Fetal Heart Rate (FHR) monitoring using electrocardiogram (ECG) is important to detect the condition of the fetus during pregnancy. An algorithm has been adopted and improved to extract the maternal and fetal QRS interval from the raw AECG data. The algorithm is based on cross-correlation, adaptive thresholding and maternal template subtraction.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 13 Jul 2010 03:06
Last Modified: 13 Jul 2010 03:06
URII: http://shdl.mmu.edu.my/id/eprint/945

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