T. Scantlebury-Manning

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The implementation and optimization of a deterministic pattern recognition system to automatically classify venous and arterial signals is presented. CWT and STFT spectral analysis methods were applied to a pool of ninety-seven Doppler signals consisting of both arterial and venous signals. Subsequently, a classification algorithm was developed to examine(More)
In this paper, discrete wavelet transform (DWT) and spectral subtraction methods were combined to enhance and de-noise Doppler signals. The noisy signals are comprised of a Doppler arterial signal and the intrinsic background noise from the Doppler recording device. The presence of this noise is a performance limiting factor when these signals are employed(More)
BACKGROUND Acylation Stimulating Protein (ASP) has been shown to influence adipose tissue triglyceride (TG) storage. The aim was to examine ethnic differences in ASP and leptin levels in relation to lipid profiles and postprandial changes amongst African American (AA) and Caucasian American (CA) women matched for BMI. METHODS 129 women were recruited in(More)
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