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Feature Extraction and Classification Algorithms for Seizure Detection
Dear user: This file contains a list of functions developed for feature extraction and analysis from different sensors. You can see the name of each function and a short discription of what it does! === extract === Input: 1)a filename (.mat file) 2)a number representing epochlength (in seconds) 3)a number representing samplerate (in Hz) Output: A cell matrix with columns representing each sensor Each cell contains an array of data corresponding to one epochlength of a time. =============== === extractCol === Similar to extrac() function but for a specific column. Input: 1)a filename (.mat file) 2)a number representing epochlength (in seconds) 3)a number representing samplerate (in Hz) 4)column number Output: A cell matrix with its only column representing the sensor chosen by the 4th parameter. Each cell contains an array of data corresponding to one epochlength of a time. ================= === putLabel === %This function takes in a cellMatrix of epoches with each column %representing a sensor and adds an extra column in the end which %represents the label for each epoch. %NOTE: The number or labels should be equal (or less than) the number of %actual epoches. %If the number of labels are less than the number of epoches the rest of %the epoches will be cut off! Input: cellMatrix of epoches and a matrix (n,2) of labels Output: labeled cellMatrix of epoches ================
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