Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Early detection of sudden cardiac death by using classical linear techniques and time-frequency methods on electrocardiogram signals"
written by Elias Ebrahimzadeh, Mohammad Pooyan,
published by Journal of Biomedical Science and Engineering, Vol.4 No.11, 2011
has been cited by the following article(s):
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[9] Bibliographic Review of methods of detection of Ventricular Fibrillation based on ECG signals
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[13] A review of the methods for sudden cardiac death detection: A guide for emergency physicians
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[15] A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection
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[16] Detection of sudden cardiac death by a comparative study of heart rate variability in normal and abnormal heart conditions
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[17] Sudden Cardiac Arrest (SCA) Prediction Using ECG Morphological Features
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[18] A Review of the Methods for Sudden Cardiac Death Detection.
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[20] The Embedding of Flexible Conductive Silver-Coated Electrodes into ECG Monitoring Garment for Minimizing Motion Artefacts
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[32] Recurrence Plot Features of RR-Interval Signal for Early Stage Mortality Identification in Sudden Cardiac Death Patients
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[57] Data Mining Approach to Predict and Analyze the Cardiovascular Disease
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[58] Computational Algorithms Underlying the Time-Based Detection of Sudden Cardiac Arrest via Electrocardiographic Markers
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[66] A novel approach to predict sudden cardiac death using local feature selection and mixture of experts
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[67] An integrated index for detection of Sudden Cardiac Death using Discrete Wavelet Transform and nonlinear features
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[68] Improved Time-Frequency Approach For Detection Of Sudden Cardiac Death On Electrocardiogram Signals
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[72] This item is protected by original copyright
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