Borítókép a Arrhythmia Detection Using machine Learning Techniques - hoz
Könyv címe:

Arrhythmia Detection Using machine Learning Techniques

LAP LAMBERT Academic Publishing (26.06.2019 )

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ISBN-13:

978-3-659-52575-9

ISBN-10:
3659525758
EAN:
9783659525759
Könyv nyelve:
angol
Ismertető:
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.
Kiadó:
LAP LAMBERT Academic Publishing
Weboldal:
https://www.lap-publishing.com/
Szerezte:
Raghu Nanjundegowda, Manjunatha K. N., Kiran B.
Oldalszám:
96
Kiadja:
26.06.2019
Raktárkészlet:
Raktáron
Kategória:
Elektronika, elektrotechnika, kommunikációs technológia
Ár:
54,90 €
Kulcsszavak:
Auto regressive method, Burgs method, Deep Neural Network, Differential Entropy, electrocardiogram, Peak-magnitude root mean square ratio, Yule walker

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