Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/741
Title: Performance Analysis ECG Signals Noise Removal Techniques: A Review
Authors: Mosslah, Abd
Mahdi, Reyadh
Alwan, Mohammed
Keywords: ECG
Neural Network
Wavelet transform
Noise
Wander baseline
Issue Date: Dec-2017
Publisher: IOSR Journal of Computer Engineering (IOSR-JCE)
Abstract: Heart problems are a source of danger to human life, so it is necessary to conduct an ECG to avoid the threat to our lives. The result is recorded in the form of a signal or waves through the technique of ECG, but faces the problem of artifacts, basic roaming and noise, It should be removed from the original signal. There are many methods used to remove noise in the medical field such as neural retina and wavelet transformation. In this paper we have studied literature on the development of advanced technology and algorithm and performed an analysis of the advantages and disadvantages.
URI: http://localhost:8080/xmlui/handle/123456789/741
ISSN: 2278-8727
Appears in Collections:قسم التفسير وعلوم القرأن

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