You might be wondering, “Why change? My current method of analyzing data is just fine, thank you very much!” Good question! Let us answer this in two ways, one for people who write their own analysis scripts, and the other for people who use a commercial software package.
a) You write your own scripts.
For years, we’ve been writing our own scripts for everything from click-and-drag artefact selection tools to feature extraction and classification structures. And, in many ways, it’s great: there’s complete freedom in how problems are dealt with and we can really tailor the script to the experiment.
So, why should you, Mrs. I-Love-To-Script, try FeatureFinder? Because you can still code all the features you like, and FeatureFinder will take care of all the cumbersome file organization for you! The program’s unique approach to file management—organizing files by your experimental parameters (e.g., study participant, trial number)—will make visual review of your data and analysis of your features speedy and intuitive.
b) You use a commercial software package.
Have you ever read a journal article in your field and been inspired to try a new feature approach, but your software package doesn’t support it? That’s not a problem with FeatureFinder: you can add whatever feature you like to the program, and you don’t need to wade deep into code to do it! Features can be added simply by changing a few lines of a template—read more here.
You may also be interested in the visual review capabilities of FeatureFinder: you can get up close and personal with your signals, scrolling forward and backward in your data set with the click of a mouse! When you’re ready to calculate features from your signals, the output file is created in a format that’s ready to pop into a spreadsheet or statistics program!
And, it’s free—so, why not?