Software enhanced learning of cardiac auscultation

被引：0

作者：

Syed, Zeeshan ^{[1
]}

Curtis, Dorothy ^{[1
]}

Guttag, John ^{[1
]}

机构：

[1] MIT, Cambridge, MA 02139 USA

来源：

2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15 | 2006年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Listening to heart sounds during physical exams can offer useful clues to the presence of cardiac disease. Cardiac auscultation is non-invasive, inexpensive and fast. It is also highly unreliable, and requires good hearing and considerable expertise. In this paper, we describe an audio-visital tool designed to help people learn to be better at cardiac auscultation. The use of digital signal processing techniques makes pathological findings more recognizable in both audio and visual representations. This reduces dependence on the ability of people to hear relevant information.

引用

页码：1848 / +

页数：2

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