A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal

Algorithm 1

SbRNS.

	start
	{
	//initializing the EEG signal data
	Preprocessing ()
	{
	//initialing the filtering parameters
	//Eliminating the noise features
	}
	Feature analysis ()
	{
	//activating the feature analysis variables
	//meaningful signal features were traced and extracted
	}
	Severity Classification ()
	{
	{
	High severity
	}else
	{
	medium
	}else (low)
	//hence, the severity of the AD has been measured
	}
	}
	Stop