Gowri Shankar M | Bannari Amman Institute of Technology, Sathyamangalam (original) (raw)

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Papers by Gowri Shankar M

Research paper thumbnail of An Exploration of ECG Signal Feature Selection and Classification using Machine Learning Techniques

International Journal of Innovative Technology and Exploring Engineering, 2020

This effort examines and likens a collection of active methods to dimensionally reduction and sel... more This effort examines and likens a collection of active methods to dimensionally reduction and select salient features since the electrocardiogram database. ECG signal classification and feature selection plays a vital part in identifies of cardiac illness. An accurate ECG classification could be a difficult drawback. This effort also examines of ECG classification into arrhythmia kinds. This effort discusses the problems concerned in Classification ECG signal and exploration of ECG databases (MIT-BIH), pre-processing, dimensionally reduction, Feature selection techniques, classification and optimization techniques. Machine learning techniques give offers developed classification accurateness with imprecation of dimensionality.

Research paper thumbnail of An Exploration of ECG Signal Feature Selection and Classification using Machine Learning Techniques

International Journal of Innovative Technology and Exploring Engineering, 2020

This effort examines and likens a collection of active methods to dimensionally reduction and sel... more This effort examines and likens a collection of active methods to dimensionally reduction and select salient features since the electrocardiogram database. ECG signal classification and feature selection plays a vital part in identifies of cardiac illness. An accurate ECG classification could be a difficult drawback. This effort also examines of ECG classification into arrhythmia kinds. This effort discusses the problems concerned in Classification ECG signal and exploration of ECG databases (MIT-BIH), pre-processing, dimensionally reduction, Feature selection techniques, classification and optimization techniques. Machine learning techniques give offers developed classification accurateness with imprecation of dimensionality.

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