DocumentCode
3069040
Title
Autoregressive modeling of physiological tremor under microsurgical conditions
Author
Becker, Brian C. ; Tummala, Harsha ; Riviere, Cameron N.
Author_Institution
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
1948
Lastpage
1951
Abstract
Tremor was recorded under simulated vitreoretinal microsurgical conditions as subjects attempted to hold an instrument motionless. Several autoregressive models (AR, ARMA, multivariate, and nonlinear) are generated to predict the next value of tremor. It is shown that a sixth order ARMA model predictor can predict a tremor having an amplitude of 96.6 ± 84.5 microns RMS with an error of 8.2 ± 5.9 microns RMS, a mean improvement of 47.5% over simple last-value prediction.
Keywords
Autoregressive processes; Instruments; Light emitting diodes; Microsurgery; Optical feedback; Position measurement; Predictive models; Retina; Robots; Surgery; Biomedical Engineering; Equipment Design; Hand; Humans; Microsurgery; Models, Biological; Movement; Regression Analysis; Robotics; Surgery, Computer-Assisted; Tremor;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649569
Filename
4649569
Link To Document