MIT Automated Auscultation System

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. === Includes bibliographical references (p. 123-127). === At every annual exam, the primary care physician uses a stethoscope to listen for cardiac abnormalities. This approach is non...

Full description

Bibliographic Details
Main Author: Syed, Zeeshan Hassan, 1980-
Other Authors: John V. Guttag.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/18018
id ndltd-MIT-oai-dspace.mit.edu-1721.1-18018
record_format oai_dc
spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-180182019-05-02T16:03:31Z MIT Automated Auscultation System Massachusetts Institute of Technology Automated Auscultation System Syed, Zeeshan Hassan, 1980- John V. Guttag. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 123-127). At every annual exam, the primary care physician uses a stethoscope to listen for cardiac abnormalities. This approach is non-invasive, inexpensive, and fast. It is also highly unreliable. Over 80% of the people referred to cardiologists as suffering from the most commonly diagnosed condition, mitral valve prolapse (MVP), do not have this condition. Working in conjunction with cardiologists at MGH, we developed a robust, low cost, easy to use tool that can be employed to diagnose MVP in the office of primary care physicians. The system fuses signals from an electronic stethoscope and a two-lead EKG, and uses software running on a desktop or laptop computer to make a diagnosis. We also provide a number of novel audiovisual diagnostic aids. These allow physicians to visualize both individual heart beats and a visual-prototypical heart beat constructed from a sequence of beats. They also permit doctors to listen to an audio-prototypical heart-beat, audio enhanced heart-beats that amplify clinically significant sounds, and slowed down heart-beats that make it easier to separate clinically relevant cardiac events. We tested our system on 51 patients. The number of false positives was reduced to approximately 10%. While there is no generally accepted statistic on false negatives, anecdotal experience indicates that our system also outperforms physicians in this respect. by Zeeshan Hassan Syed. M.Eng. 2005-06-02T19:38:33Z 2005-06-02T19:38:33Z 2003 2003 Thesis http://hdl.handle.net/1721.1/18018 57206436 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 127 p. 7383965 bytes 7400200 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Syed, Zeeshan Hassan, 1980-
MIT Automated Auscultation System
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. === Includes bibliographical references (p. 123-127). === At every annual exam, the primary care physician uses a stethoscope to listen for cardiac abnormalities. This approach is non-invasive, inexpensive, and fast. It is also highly unreliable. Over 80% of the people referred to cardiologists as suffering from the most commonly diagnosed condition, mitral valve prolapse (MVP), do not have this condition. Working in conjunction with cardiologists at MGH, we developed a robust, low cost, easy to use tool that can be employed to diagnose MVP in the office of primary care physicians. The system fuses signals from an electronic stethoscope and a two-lead EKG, and uses software running on a desktop or laptop computer to make a diagnosis. We also provide a number of novel audiovisual diagnostic aids. These allow physicians to visualize both individual heart beats and a visual-prototypical heart beat constructed from a sequence of beats. They also permit doctors to listen to an audio-prototypical heart-beat, audio enhanced heart-beats that amplify clinically significant sounds, and slowed down heart-beats that make it easier to separate clinically relevant cardiac events. We tested our system on 51 patients. The number of false positives was reduced to approximately 10%. While there is no generally accepted statistic on false negatives, anecdotal experience indicates that our system also outperforms physicians in this respect. === by Zeeshan Hassan Syed. === M.Eng.
author2 John V. Guttag.
author_facet John V. Guttag.
Syed, Zeeshan Hassan, 1980-
author Syed, Zeeshan Hassan, 1980-
author_sort Syed, Zeeshan Hassan, 1980-
title MIT Automated Auscultation System
title_short MIT Automated Auscultation System
title_full MIT Automated Auscultation System
title_fullStr MIT Automated Auscultation System
title_full_unstemmed MIT Automated Auscultation System
title_sort mit automated auscultation system
publisher Massachusetts Institute of Technology
publishDate 2005
url http://hdl.handle.net/1721.1/18018
work_keys_str_mv AT syedzeeshanhassan1980 mitautomatedauscultationsystem
AT syedzeeshanhassan1980 massachusettsinstituteoftechnologyautomatedauscultationsystem
_version_ 1719033769493528576