Identification of Aortic Stenosis Disease using Discrete Wavelet Packet Analysis
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posted on 2023-06-08, 00:02 authored by B Al-Naami, J Chebil, J N TorryNo description supplied
History
Publication status
- Published
ISSN
0276-6574Volume
32Page range
667-670Pages
4.0Presentation Type
- paper
Event name
Computers in Cardiology Conference, Lyon, France, 2005.Event location
Lyon, France.Event type
conferenceDepartment affiliated with
- Engineering and Design Publications
Notes
Further results are given on the value of using time-frequency wavelet techniques as an analysis tool for the identification of heart murmurs. The work follows on from a joint SME/university partnership which investigated communications links between the heart sound unit and an adjoining laptop. We received a Prime Faraday Partnership Spark award entitled HSLink (Application no.18142) for this work in liaison with Dr Keith Barfoot, Managing Director, Staplethorne Ltd., 2 Devonshire Court, Heathpark, Honiton, Devon EX14 1SB (xrays@stapletek.co.uk). Development of the preferred Bluetooth interface continues.Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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