Raymond L. Watrous

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A new, patient-adaptive ECG patient monitoring algorithm is described. The algorithm combines a patient-independent neural network classifier with a three-parameter patient model. The patient model is used to modulate the patient-independent classifier via multiplicative connections. Adaptation is carried out by gradient descent in the patient model(More)
BACKGROUND As many as 50-70% of asymptomatic children referred for specialist evaluation or echocardiography because of a murmur have no heart disease. HYPOTHESIS Computer-assisted auscultation (CAA) can improve the sensitivity and specificity of referrals for evaluation of heart murmurs. METHODS Seven board-certified primary care physicians were(More)
Gordon Peterson and Harold Barney describe a detailed investigation of sustained American English vowels in [1]. The article presents acoustic measurements of fundamental frequency (F0) and first three formant frequencies (F1-F3). The authors also conducted experiments where listeners were asked to identify words. Raymond Watrous [2] re-organized the(More)
A pilot study was conducted to ascertain the level of agreement between auscultatory findings derived from heart sound recordings by a cardiologist and the results of a computer-based heart sound analysis algorithm. Heart sound recordings were obtained from volunteer subjects previously diagnosed with hypertrophic cardiomyopathy. Twenty-second recordings(More)
A computational model of the cardiovascular system is described which provides a framework for implementing and testing quantitative physiological models of heart sound generation. The lumped-parameter cardiovascular model can be solved for the hemodynamic variables on which the heart sound generation process is built. Parameters of the cardiovascular model(More)
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