Cardiac State Diagnosis using Adaptive Neuro-Fuzzy Technique

Heart rate signals may either contain indicators of a current disease or even warnings about impending diseases. However, to manually study and pinpoint heart abnormalities in voluminous data is strenuous and time consuming. Here, an adaptive neuro-fuzzy network is used to classify heart abnormaliti...

Full description

Saved in:
Bibliographic Details
Published in2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Vol. 2005; pp. 3864 - 3867
Main Authors Kannathal, N., Puthusserypady, Sadasivan K., Min, Lim Choo, Acharya U., Rajendra, Laxminarayan, Swamy
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 2005
Subjects
Adaptive Neuro-Fuzzy Inference System
Adaptive systems
Application software
Cardiac disease
Cardiovascular diseases
Computer applications
Fuzzy neural networks
Geometry
Heart rate
LLE
Neural networks
Rhythm
SD1/SD2
Online AccessGet full text

Cover

More Information
Summary:Heart rate signals may either contain indicators of a current disease or even warnings about impending diseases. However, to manually study and pinpoint heart abnormalities in voluminous data is strenuous and time consuming. Here, an adaptive neuro-fuzzy network is used to classify heart abnormalities in ten different cardiac states and shown to be effective
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:0780387414
9780780387416
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2005.1615304