spacer gif spacer gif spacer gif spacer gif spacer gif
 QUICK SEARCH:   [advanced]


spacer gif
     Home     Help     Feedback     Subscriptions     Archive     Search     Table of Contents    

Right arrow Help viewing high resolution images
Right arrow Return to article

(Downloading may take up to 30 seconds.
If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.



Fig. 3. Offline data analysis using polynomial regression to remove the circadian rhythm from the pharmacological response. (A) The raw data are shown with a fourth order polynomial least-squares regression fitted to segments of data before the injection and after the treatment had worn off. The polynomial is subtracted from the data to produce the residual data (B). A second, higher order polynomial is fitted to the residual data. The peak response and 50% peak response points are calculated for this polynomial.





Right arrow Return to article