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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 Torry
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History

Publication status

  • Published

ISSN

0276-6574

Volume

32

Page range

667-670

Pages

4.0

Presentation Type

  • paper

Event name

Computers in Cardiology Conference, Lyon, France, 2005.

Event location

Lyon, France.

Event type

conference

Department 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

2012-02-06

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