An Approach Towards a Heartbeat Sound Information Retrieval System
This event took place on Friday 01 October 2010 at 11:30
Shyamala Doraisamy Faculty of Computer Science and Information Technology, University Putra Malaysia
Interpretation of heart sounds can be a problematic and difficult task for cardiology specialists. Diagnosis of heart diseases requires special skill and clinical experience along with detailed and expensive tests. However, heart disease diagnosis by heart beat sounds is preferable and still widely used as the first step of diagnosis. Recently, Computer aided auscultation has emerged as a cost-effective technique to analyze and interpret the heart sounds. In this study we propose a feasible technique for developing a heart beat sound retrieval system using text based approaches useful towards automated heart disease detection.
(Due to unforeseen circumstances we were unable to record or webcast this event, we apologise to those who were otherwise unable to attend this event in person)
This event took place on Friday 01 October 2010 at 11:30
Interpretation of heart sounds can be a problematic and difficult task for cardiology specialists. Diagnosis of heart diseases requires special skill and clinical experience along with detailed and expensive tests. However, heart disease diagnosis by heart beat sounds is preferable and still widely used as the first step of diagnosis. Recently, Computer aided auscultation has emerged as a cost-effective technique to analyze and interpret the heart sounds. In this study we propose a feasible technique for developing a heart beat sound retrieval system using text based approaches useful towards automated heart disease detection.
(Due to unforeseen circumstances we were unable to record or webcast this event, we apologise to those who were otherwise unable to attend this event in person)
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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