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Updated: Aug 3, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
Published on: November 6, 2015
Simultaneous assessment and training of an upper-limb amputee using incremental machine-learning-based myocontrol: a
Markus Nowak1, Raoul M Bongers2, Corry K van der Sluis3
1Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Münchner Str. 20, 82234, Weßling, Germany. markus.nowak@dlr.de.
Incremental myocontrol allows an upper-limb amputee to reliably control a dexterous prosthetic hand. A new assessment tool, SATMC, supported user progress and satisfaction over a 13-month study.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Machine Learning in Prosthetics
Background:
- High abandonment rates of machine-learning prosthetics due to training and reliability issues.
- Incremental myocontrol offers on-demand system updates and continuous user interaction.
- A long-term study assessing incremental myocontrol efficacy was lacking due to inadequate tools.
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