An Approach Towards a Heartbeat Sound Information Retrieval System Shyamala Doraisamy
This event took place on 1st October 2010 at 11:30am (10:30 GMT)
Knowledge Media Institute, Berrill Building, The Open University, Milton Keynes, United Kingdom, MK7 6AA
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)
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.