Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kenneth A McIsaac

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Studies in Health Technology and Informatics|January 13, 2006
Rendering of virtual fixtures for MIS using generalized sigmoid functionsJing Ren, Rajni V Patel, Kenneth A McIsaac
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|April 10, 2007
A potential field model using generalized sigmoid functionsJing Ren, Kenneth A McIsaac, Rajni V Patel, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Proposal and Validation of a Knee Measurement System for Patients With OsteoarthritisRiley Aaron Bloomfield, Megan Christine Fennema, Kenneth A McIsaac, et al.
IEEE Transactions on Medical Imaging|August 2, 2008
Dynamic 3-D virtual fixtures for minimally invasive beating heart proceduresJing Ren, Rajni V Patel, Kenneth A McIsaac, et al.
The Journal of Arthroplasty|February 28, 2025
Identifying Sources of Error in Computer-Navigated Total Knee Arthroplasty Using Sensitivity Analyses in Knee ModelsT David Luo, Nicole Martensson, James L Howard, et al.
The Journal of Arthroplasty|July 1, 2019
Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go TestsRiley A Bloomfield, Harley A Williams, Jordan S Broberg, et al.
Medical Engineering & Physics|February 20, 2021
Machine learning and wearable sensors at preoperative assessments: Functional recovery prediction to set realistic expectations for knee replacementsRiley A Bloomfield, Jordan S Broberg, Harley A Williams, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|January 13, 2006
Rendering of virtual fixtures for MIS using generalized sigmoid functionsJing Ren, Rajni V Patel, Kenneth A McIsaac
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|April 10, 2007
A potential field model using generalized sigmoid functionsJing Ren, Kenneth A McIsaac, Rajni V Patel, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Proposal and Validation of a Knee Measurement System for Patients With OsteoarthritisRiley Aaron Bloomfield, Megan Christine Fennema, Kenneth A McIsaac, et al.
IEEE Transactions on Medical Imaging|August 2, 2008
Dynamic 3-D virtual fixtures for minimally invasive beating heart proceduresJing Ren, Rajni V Patel, Kenneth A McIsaac, et al.
The Journal of Arthroplasty|February 28, 2025
Identifying Sources of Error in Computer-Navigated Total Knee Arthroplasty Using Sensitivity Analyses in Knee ModelsT David Luo, Nicole Martensson, James L Howard, et al.
The Journal of Arthroplasty|July 1, 2019
Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go TestsRiley A Bloomfield, Harley A Williams, Jordan S Broberg, et al.
Medical Engineering & Physics|February 20, 2021
Machine learning and wearable sensors at preoperative assessments: Functional recovery prediction to set realistic expectations for knee replacementsRiley A Bloomfield, Jordan S Broberg, Harley A Williams, et al.
Pageof 1