A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis-Reference-Cited by-同舟云学术

A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis

Published:2023 Issue: Volume:31 Page:895-903
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Alili Abbas¹^ORCID,Nalam Varun²^ORCID,Li Minhan²^ORCID,Liu Ming²^ORCID,Feng Jing³,Si Jennie⁴^ORCID,Huang He²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, NC State University, Raleigh, NC, USA

2. NC State/UNC Joint Department of Biomedical Engineering, NC State University, Raleigh, NC, USA

3. Department of Psychology, NC State University, Raleigh, NC, USA

4. Department of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

https://ieeexplore.ieee.org/ielam/7333/10031624/10015106-aam.pdf

Reference45 articles.

1. Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis

2. Use of force platform variables to quantify the effects of chiropractic manipulation on gait symmetry;robinson;Journal of Manipulative and Physiological Therapeutics,1987

3. A Comparison of Control Strategies in Commercial and Research Knee Prostheses

4. Measurement of lower extremity kinematics during level walking

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4. Finding a Natural Fit: A Thematic Analysis of Amputees’ Prosthesis Setting Preferences during User-Guided Auto-Tuning;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2023-11-27

5. Validation of a modified visual analogue scale to measure user-perceived comfort of a lower-limb exoskeleton;Scientific Reports;2023-11-22