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SUMMARY:A Novel Application of Information Theory in Heart Sound Signal An
 alysis for Cardiovascular Disease Diagnosis - Dr Booma Devi Sekar\, Univer
 sity of Macau\, Macau SAR
DTSTART:20151015T140000Z
DTEND:20151015T150000Z
UID:TALK61340@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:Heart auscultation has served as an important primary measure 
 to identify the pathological condition of cardiovascular system for a long
  time. However\, clinical capabilities to diagnose cardiovascular diseases
  (CVD) using heart sound (HS) signal have regressed recently. Moreover\, t
 he conventional computational approaches have limited progression due to t
 he formidable challenges of HS component segmentation and feature extracti
 on. Thus\, a new approach of HS analysis using descriptive string complexi
 ty and similarity analysis technique is proposed. \n\nThe proposed methodo
 logy of analysing HS signal for CVD diagnosis employs key technologies fro
 m information theory. These include the coding and encoding descriptor to 
 convert the HS signal to a bio-sequence\; parsing based estimators -- LZ p
 roduction complexity and Titchener’s T-complexity and its derivatives T-
 information and T-entropy to measure the information content of the bio-se
 quence. Subsequently\, similarity metric and conditional entropy are emplo
 yed to analyze HS signal. Finally the inference networks are proposed to d
 esign the CVD diagnosis model. A brief overview of the methodology and the
  relevant testing results using HS samples from patients will be presented
 .
LOCATION:Sigproc Meeting Room (BN3-05)\, 3rd floor CUED
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