Wavelet diagnosis of ECG signals with kaiser based noise diminution

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

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"Wavelet diagnosis of ECG signals with kaiser based noise diminution"
written by Sridhathan Chandramouleeswaran, Ahmed M. A. Haidar, Fahmi Samsuri,
published by Journal of Biomedical Science and Engineering, Vol.5 No.12, 2012

has been cited by the following article(s):

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[8]	Automated detection of heart defects in athletes based on electrocardiography and artificial neural network
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[9]	Denoising ECG Signal: A Review
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[10]	Automatic Arrhythmia Detection Using Support Vector Machine Based on Discrete Wavelet Transform
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[11]	High Frequency Electromyogram Noise Removal from Electrocardiogram Using FIR Low Pass Filter Based on FPGA
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[12]	Design and Development of FPGA Based FIR Filter to De-Noise ECG Signal
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[13]	ECG Classification with an Adaptive Neuro-Fuzzy Inference System
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[14]	Detection of cardiac ischaemia using bispectral analysis approach
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[15]	Digitals filters in heart sound analysis
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[16]	Digital filters in heart sound analysis
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[17]	Electrocardiogram (ECG) Signal Diagnosis Based on Component Extraction
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[1]	Automated detection of heart defects in athletes based on electrocardiography and artificial neural network Cogent Engineering, 2017 DOI:10.1080/23311916.2017.1411220

[2]	High Frequency Electromyogram Noise Removal from Electrocardiogram Using FIR Low Pass Filter Based on FPGA Procedia Technology, 2016 DOI:10.1016/j.protcy.2016.08.137

[3]	Detection of cardiac ischaemia using bispectral analysis approach Journal of Medical Engineering & Technology, 2014 DOI:10.3109/03091902.2014.925983

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