Hi Aman,

actually "a feature vector" is just the assembly of features to describe your object(s). The concrete shape/properties you need will depend on what you intent to do with such feature vectors afterwards, i.e. which methods/toolboxes you want to apply to them.

Greetings, Sebastian

AS the above answer stated, any transformation or feature extraction process results in a feature vector (array)

Regards, M Hesham

Hello,

If it it just to make features vector out of extracted features, then A feature vector is basically an "n-dimensional vector" (quantity with magnitude and direction) of numerical features that represent some object. Further, Numerical representation of object is required as such representation enhances processing and analysis so most of the algorithm makes it the necessity.

However, the major point is:What is the purpose of extraction of features? What are you planning to do with it? 

The features extracted out of ECG signal has to be further employed . Whether you shall use it for classifying the features into one of the categories available in the database or shall you use mixture of features for ECG beats classification or shall you use the extracted features for Detection of some Cardiac Arrhythmias. 

Regards,

Rebika Rai

I have extracted features like various intervals in ECG signal and then wavelet coefficients and their maxima and minima. My question is basically is there any technique to collaborate these features?? It's so cumbersome activity to make feature vector manually.??