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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders
Salt Lake City, Utah
June 22-June 23
ISBN: 0-7695-2517-1
ASCII Text
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Zeeshan Syed, Daniel Leeds, Dorothy Curtis, John Guttag, "Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders," Computer-Based Medical Systems, IEEE Symposium on, pp. 207-212, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006.
 
 
BibTex
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@article{ 10.1109/CBMS.2006.50,
author = {Zeeshan Syed and Daniel Leeds and Dorothy Curtis and John Guttag},
title = {Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2006},
issn = {1063-7125},
pages = {207-212},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders
SN - 1063-7125
SP207
EP212
A1 - Zeeshan Syed,
A1 - Daniel Leeds,
A1 - Dorothy Curtis,
A1 - John Guttag,
PY - 2006
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Zeeshan Syed, Massachusetts Institute of Technology, USA
Daniel Leeds, Massachusetts Institute of Technology, USA
Dorothy Curtis, Massachusetts Institute of Technology, USA
John Guttag, Massachusetts Institute of Technology, USA
The process of interpreting heart sounds is restricted by human auditory limitations. Shortcomings such as insensitivity to frequency changes, slow responses to rapidly occurring changes in acoustic signals and an inability to discriminate the presence of soft pathological sounds are the source of inaccuracies and persist even with experience. This restricts both the practice and teaching of auscultation.

In this paper we propose and evaluate a suite of presentation tools for computer-assisted auscultation. We explore the use of digital signal processing techniques to slow down heart sounds while preserving frequency content, differential enhancement across frequency scales to amplify pathological disease signatures, visualization of the signal to measure changes in signal energy across time and presentation of a representative prototypical signal for the patient.

Citation:
Zeeshan Syed, Daniel Leeds, Dorothy Curtis, John Guttag, "Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders," cbms, pp.207-212, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006
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