Arrhythmia Detection Using machine Learning Techniques - Softcover

Nanjundegowda, Raghu; K. N., Manjunatha; B., Kiran

 
9783659525759: Arrhythmia Detection Using machine Learning Techniques
Softcover
ISBN 10: 3659525758 ISBN 13: 9783659525759
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

One of the most powerful facilities for determining the condition of the heart is the Electrocardiogram (ECG). Automatic heart abnormality identification technique detects the several abnormalities or arrhythmia and decreases the physician’s workload thereby reducing their workload. The ECG analysis focuses on improving the accuracy levels and classification of all possible heart diseases. The prevailing techniques of arrhythmia identification are based on certain transformation techniques such as the morphological features and others which are marginally successful in the identification of arrhythmia, due to the consideration of heart as a linear structure. This research study explores the use of Hybrid features of Twave in ECG and assesses it employing the MIT-BIH arrhythmia dataset. The prospective methodology comprises of two major steps: feature extraction and classification.

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Über die Autorin bzw. den Autor

Mr. Raghu N is currently pursuing a Ph.D. from the Department of Electronics Engineering, Jain University, Bangalore. He has 8 years of teaching experience at Jain University and he has presented many research papers in highly reputed International Conferences and he has published research articles in International Journals and conference proceedings.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3659525758
ISBN 13 
9783659525759
Einband
Taschenbuch
Anzahl der Seiten
96
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
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