(Solved) : Want Codes Visual Basics Curve Length Root Mean Square Equation Provided Visual Basics Cl Q42738952 . . .

Consider the databases (EEG signal data): EEG_Normal, and EEG_Seizure. Curve length. This equation is useful in predicting th

I just want the codes for visual basics for the curve length andthe root mean square equation i provided above. This is for myvisual basics class. Help!……….

Consider the databases (EEG signal data): EEG_Normal, and EEG_Seizure. Curve length. This equation is useful in predicting the stability of the values of a signal. If, in a given interval, the value of this feature is low, it is an indicative that the signal is stable, otherwise the signal is unstable. We calculate this using: CL = $1=11|Xi+1 – xil (1) Root mean square. This equation is defined as the square root of the mean of the squares of the values of the signal. The root mean square (also known as quadratic mean) is determined by: 8 = $1=1 } OFVN Nes equal to the total numbers of samples for each column. 1) Using Visual Basic calculate for each column the equations (1) y (2). 2) Visualize the results obtained in (1). 3) Explain if there is any difference in the results obtained per column within a database, and when comparing between the 2 databases. Show transcribed image text Consider the databases (EEG signal data): EEG_Normal, and EEG_Seizure. Curve length. This equation is useful in predicting the stability of the values of a signal. If, in a given interval, the value of this feature is low, it is an indicative that the signal is stable, otherwise the signal is unstable. We calculate this using: CL = $1=11|Xi+1 – xil (1) Root mean square. This equation is defined as the square root of the mean of the squares of the values of the signal. The root mean square (also known as quadratic mean) is determined by: 8 = $1=1 } OFVN Nes equal to the total numbers of samples for each column. 1) Using Visual Basic calculate for each column the equations (1) y (2). 2) Visualize the results obtained in (1). 3) Explain if there is any difference in the results obtained per column within a database, and when comparing between the 2 databases.

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