A Novel Spiking Neural Network for ECG signal Classification
نویسندگان
چکیده
منابع مشابه
A Novel Neural Network based Classification for ECG Signals
Cardiac Arrhythmia represents heart abnormalities. This problem is faced by people, irrespective of age. Even the physicians feel difficulty in diagnosing the abnormal behavior of heart accurately. Accurate detection of cardiac abnormalities helps to provide right treatment. Classification plays an important role in predicting abnormal behaviors of heart and it helps the physician to treat the ...
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bioelectrical signal, which records the heart’s electrical activity versus time, is an electrocardiogram (ECG). It is an important diagnostic tool for assessing heart functions. The interpretation of ECG signal is an application of pattern recognition. signal pre-processing, QRS detection, feature extraction and neural network for signal classification are those techniques which used in this pa...
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Cardiac Arrhythmia is a key problem faced by many people regardless of age and gender. P wave, QRS complex and T wave forms a complete cardiac cycle. Absence or abnormal appearance of any waves lead to cardiac arrhythmia. If these abnormalities are diagnosed at the earliest stage, appropriate treatment can be provided to the patients. In our research work, classification technique in data minin...
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An Electrocardiogram (ECG) is a bioelectric signal which record heart electrical activity versus time. It is an important diagnostic tool for heart functioning. The interpretation of ECG signal is an application of pattern recognition. The technique used in this pattern recognition comprise: Signal Pre-processing, feature Extraction, training of neural network for classification. In this propos...
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ژورنال
عنوان ژورنال: JOURNAL OF SENSOR SCIENCE AND TECHNOLOGY
سال: 2021
ISSN: 1225-5475,2093-7563
DOI: 10.46670/jsst.2021.30.1.20