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

Andreas W Franzke

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Bio-Medical Engineering|January 10, 2022
Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis ControlMichael Wand, Morten B Kristoffersen, Andreas W Franzke, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 4, 2020
Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?Morten B Kristoffersen, Andreas W Franzke, Corry K van der Sluis, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 24, 2019
The Effect of Feedback During Training Sessions on Learning Pattern-Recognition-Based Prosthesis ControlMorten B Kristoffersen, Andreas W Franzke, Corry K van der Sluis, et al.
Journal of Neuroengineering and Rehabilitation|February 13, 2021
User training for machine learning controlled upper limb prostheses: a serious game approachMorten B Kristoffersen, Andreas W Franzke, Raoul M Bongers, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 9, 2020
Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric ControlAndreas W Franzke, Morten B Kristoffersen, Vinay Jayaram, et al.
Plos One|August 30, 2019
Users' and therapists' perceptions of myoelectric multi-function upper limb prostheses with conventional and pattern recognition controlAndreas W Franzke, Morten B Kristoffersen, Raoul M Bongers, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Bio-Medical Engineering|January 10, 2022
Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis ControlMichael Wand, Morten B Kristoffersen, Andreas W Franzke, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 4, 2020
Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?Morten B Kristoffersen, Andreas W Franzke, Corry K van der Sluis, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 24, 2019
The Effect of Feedback During Training Sessions on Learning Pattern-Recognition-Based Prosthesis ControlMorten B Kristoffersen, Andreas W Franzke, Corry K van der Sluis, et al.
Journal of Neuroengineering and Rehabilitation|February 13, 2021
User training for machine learning controlled upper limb prostheses: a serious game approachMorten B Kristoffersen, Andreas W Franzke, Raoul M Bongers, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 9, 2020
Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric ControlAndreas W Franzke, Morten B Kristoffersen, Vinay Jayaram, et al.
Plos One|August 30, 2019
Users' and therapists' perceptions of myoelectric multi-function upper limb prostheses with conventional and pattern recognition controlAndreas W Franzke, Morten B Kristoffersen, Raoul M Bongers, et al.
Pageof 1