Abstract
An adaptive method for detecting change in digitized cardiotachometer recordings has been developed which takes into account the nonstationary statistical structure of the data. The digitized data are smoothed to reduce the variance at high frequencies caused by discontinuities inherent in cardiotachometer output. Based on a first-order autoregression, which has been shown to be appropriate for heart rate data, the adaptive procedure uses estimates of the parameters which are most influenced by the recent observations. Decreasing weight is given to past prestimulus data, and the estimates are updated with each stimulus. A test for change is then applied to the poststimulus regions at each time point, yielding a t statistic. The t <R xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</R> 's can then be averaged to give a test for change over an interval.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
