Online estimation of laser incision depth for transoral microsurgery: approach and preliminary evaluation

Loris Fichera; Diego Pardo; Placido Illiano; Jesùs Ortiz; Darwin G. Caldwell; Leonardo S. Mattos

doi:10.1002/rcs.1656

Online estimation of laser incision depth for transoral microsurgery: approach and preliminary evaluation

International Journal of Medical Robotics and Computer Assisted Surgery ◽

10.1002/rcs.1656 ◽

2015 ◽

Vol 12 (1) ◽

pp. 53-61 ◽

Cited By ~ 8

Author(s):

Loris Fichera ◽

Diego Pardo ◽

Placido Illiano ◽

Jesùs Ortiz ◽

Darwin G. Caldwell ◽

...

Keyword(s):

Preliminary Evaluation ◽

Online Estimation ◽

Laser Incision ◽

Transoral Microsurgery

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Preliminary Evaluation of an Online Estimation Method for Organ Geometry and Tissue Stiffness

IEEE Robotics and Automation Letters ◽

10.1109/lra.2018.2801481 ◽

2018 ◽

Vol 3 (3) ◽

pp. 1816-1823 ◽

Cited By ~ 4

Author(s):

Preetham Chalasani ◽

Long Wang ◽

Rashid Yasin ◽

Nabil Simaan ◽

Russell H. Taylor

Keyword(s):

Estimation Method ◽

Preliminary Evaluation ◽

Tissue Stiffness ◽

Online Estimation

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Preliminary Evaluation of a Weibull Function for Fitting Slow-Component Eye Velocity over the Time Course of Caloric-Induced Nystagmus

Journal of Speech Language and Hearing Research ◽

10.1044/jshr.3203.681 ◽

1989 ◽

Vol 32 (3) ◽

pp. 681-687 ◽

Cited By ~ 1

Author(s):

C. Formby ◽

B. Albritton ◽

I. M. Rivera

Keyword(s):

Time Course ◽

Slow Component ◽

Weibull Function ◽

Preliminary Evaluation ◽

Mathematical Function ◽

Before And After ◽

Best Fitting ◽

Eye Velocity ◽

Fitting Parameters ◽

Weibull Equation

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.

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