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dc.contributorLessard, Charles
dc.creatorCheng, Lui
dc.date.accessioned2005-02-17T21:05:01Z
dc.date.accessioned2017-04-07T19:49:42Z
dc.date.available2005-02-17T21:05:01Z
dc.date.available2017-04-07T19:49:42Z
dc.date.created2003-12
dc.date.issued2005-02-17
dc.identifier.urihttp://hdl.handle.net/1969.1/1548
dc.description.abstractThe objective of this study is to remove or, at least, reduce the noise in uterine EMG recordings, which at their present noise level render the data unusable. Predicting when true labor will start and recognizing when labor actually starts are important for both normal and complex pregnancies. For normal pregnancy, the prognosis of labor is important for reducing unnecessary hospital costs. About 10% of the four million babies born each year in the United States are born prematurely. At $1,500 a day for neonatal intensive care, this comprises national health care expenses of well over $5 billion. Spectral analysis, filter design, and 1/3 octave analysis were applied to analyze the uterine EMG recordings. Signal-to-noise ratio was increased with IIR Butterworth bandstop filter. The spectral band between 0.25 and 0.4 Hz shows matching of the Toco belt via spectral analysis. Nevertheless, 1/3 octave analysis gives the highest correct detection percentage compare with frequency analysis and filter design.
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectEMG
dc.subjectmyometrium
dc.subjectuterine contraction
dc.titleImprovement of signal-to-noise ratio in uterine EMG recordings.
dc.typeBook
dc.typeThesis


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