Zobrazeno 1 - 10 of 44 pro vyhledávání: '"Stanley G. Burns"'
2
Development of laser-based heart sound detection system
Autor: Lorentz E. Wittmers, Stanley G. Burns, Girum Sileshi, Jing Bai, Glenn Nordehn
Publikováno v: Journal of Biomedical Science and Engineering. :34-37
In this paper, we demonstrate the prototype of a new stethoscope using laser technology to make the heart-beat signal “visible”. This heartbeat detection technique could overcome the limitation of the acoustic stethoscope brought by the poor abil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fe7f484edbf1b54d0ff3f09e6513c33
https://doi.org/10.4236/jbise.2012.51005
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3
Detection of Heart Murmurs Using Wavelet Analysis and Artificial Neural Networks
Autor: Fernando Rios-Gutierrez, Rocio Alba-Flores, Glenn Nordehn, Stanley G. Burns, Khaled Ejaz, Nicholas Andrisevic
Publikováno v: Journal of Biomechanical Engineering. 127:899-904
This paper presents the algorithm and technical aspects of an intelligent diagnostic system for the detection of heart murmurs. The purpose of this research is to address the lack of effectively accurate cardiac auscultation present at the primary ca
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e57e593f7e27f4a6fd77f0b1ec7a70c0
https://doi.org/10.1115/1.2049327
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6
Artificial Neural Network Analysis of Heart Sounds Captured From an Acoustic Stethoscope and Emailed Using iStethoscopePro
Autor: Misty Flynn, Glenn Nordehn, Eric Deip, Brian Stephenson, Stanley G. Burns, Amanda Drewek, Trichy Pasupathy, Matt Sjostrand, Dustin L Palm, Brittney Blair
Publikováno v: Journal of Medical Devices. 4
Valvular heart disease is a significant problem. The primary care physician initially does assessment through auscultation. Accuracy in classification of sounds is suboptimal (20–40%). Technological advances have paralleled an increase in referral
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19daa60be7b3eecb7a6bdd7c105c1997
https://doi.org/10.1115/1.3443737
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7
Thin aluminum nitride film resonators: miniaturized high sensitivity mass sensors
Autor: Glenn J. Bastiaans, Ronald P. O'Toole, Stanley G. Burns, Marc D. Porter
Publikováno v: Analytical Chemistry. 64:1289-1294
A miniaturized piezoelectric mass sensor has been developed that displays a very high mass sensitivity, S{sub m}. The sensor is based upon thin film resonator (TFR) technology, which is used to produce a gold-coated thin film (5.5 {mu}m) resonator (T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85f5f5ce37a2890eeedeb2a639f6f702
https://doi.org/10.1021/ac00035a017
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8
Variable Self-Optimizing Cochlear Model for Heart Murmur Detection/Classification
Autor: M.I. Hayee, Waqas Ahmad, Stanley G. Burns, Glenn Nordehn, Janet L. Fitzakerley
Publikováno v: Journal of Medical Devices. 3
Accurate detection and classification of heart murmurs by auscultation is suboptimal and not always definitive. The murmur information perceived by the physician brain is the combined effect of both patient's (human) heart and the physician's ear. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1dc818dfd7e6a7dae78ae2a40341b9e1
https://doi.org/10.1115/1.3147531
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9
A Cardiac Sound Reproduction Apparatus for Improved Stethoscope Testing
Autor: Andrew McNally, M. Menart, Glenn Nordehn, B. Blaire, M. Flynn, Amanda Drewek, Ron Ulseth, B. McDonald, T. Bartek, Stanley G. Burns, S. Eames, E. Branson
Publikováno v: Journal of Medical Devices. 3
Valvular heart disease is a significant problem. The primary case physician initially does assessment through auscultation. Accuracy in classification of sounds is suboptimal (20 to 40%). Lower frequencies of heart sounds are important in classificat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60075f17f89abd058e843a872d6b505f
https://doi.org/10.1115/1.3147377
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10
Retention Of Cardiac Auscultation Skill Requires Paired Visual And Audio Information In New Learners
Autor: Ian Kramer, Nicholas Karlisch, Spencer Strunic, Stanley G. Burns, Tom Soldner, Glenn Nordehn
Publikováno v: Journal of Medical Devices. 2
Introduction: Cardiac auscultation accuracy is poor: 20% to 40%. Audio-only of 500 heart sounds cycles over a short time period significantly improved auscultation scores. Hypothesis: adding visual information to an audio-only format, significantly (
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7d6b22e75f83e0bc59bdf900a9d385b7
https://doi.org/10.1115/1.2927390
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