Cardiac Arrhythmia Multiclass Classification

Cardiac Arrhythmia Multiclass Classification using Feature Selection and Deep learning Model


  •   A method for selecting the most relevant features has been proposed, which is an enhanced feature selection technique.
  •   An effective classifier that combines different approaches is used for categorization.
  •   A model that is suitable and an algorithm for optimization have been combined.
  •   The suggested framework can be employed to choose the best parameters for a classification model.
  •   To accurately categorize the various forms of irregular heartbeats.

  • Description

Irregular heartbeats, also known as cardiac arrhythmias, may indicate the presence of underlying heart conditions and can lead to severe consequences if not addressed. For successful patient outcomes, it is essential to have precise and effective diagnosis.