Review of recent progress in robotic knee prosthesis related techniques: Structure, actuation and control
As the essential technology of human-robotics interactive wearable devices, the robotic
knee prosthesis can provide above-knee amputations with functional knee compensations …
knee prosthesis can provide above-knee amputations with functional knee compensations …
Human lower extremity joint moment prediction: A wavelet neural network approach
MM Ardestani, X Zhang, L Wang, Q Lian, Y Liu… - Expert Systems with …, 2014 - Elsevier
Joint moment is one of the most important factors in human gait analysis. It can be calculated
using multi body dynamics but might not be straight forward. This study had two main …
using multi body dynamics but might not be straight forward. This study had two main …
Continuous angular position estimation of human ankle during unconstrained locomotion
Objective Active lower limb prostheses required an efficient user interface and robust control
structure for its seamless operation. A nonlinear autoregressive model has been proposed …
structure for its seamless operation. A nonlinear autoregressive model has been proposed …
Intelligent prediction of human lower extremity joint moment: an artificial neural network approach
Human joint moment plays an important role in quantitative rehabilitation assessment and
exoskeleton robot control. However, the existing moment prediction methods require …
exoskeleton robot control. However, the existing moment prediction methods require …
Continuous myoelectric prediction of future ankle angle and moment across ambulation conditions and their transitions
EV Zabre-Gonzalez, L Riem, PA Voglewede… - Frontiers in …, 2021 - frontiersin.org
A hallmark of human locomotion is that it continuously adapts to changes in the environment
and predictively adjusts to changes in the terrain, both of which are major challenges to …
and predictively adjusts to changes in the terrain, both of which are major challenges to …
Performance evaluation of various classifiers for predicting knee angle from electromyography signals
This paper proposes a classification‐based knee angle prediction from myoelectric signals.
Surface electromyographic signals were recorded from four muscles in the lower limb while …
Surface electromyographic signals were recorded from four muscles in the lower limb while …
A force myography-based system for gait event detection in overground and ramp walking
In this paper, we present a novel method to determine the heel strike (HS) and toe-off (TO)
during overground (OG) and ramp walking, including the transition. The method utilizes …
during overground (OG) and ramp walking, including the transition. The method utilizes …
Development of a control system for artificially rehabilitated limbs: a review
Abstract Development of an advanced control system for prostheses (artificial limbs) is
necessary to provide functionality, effectiveness, and preferably the feeling of a sound living …
necessary to provide functionality, effectiveness, and preferably the feeling of a sound living …
Swing phase control of semi-active prosthetic knee using neural network predictive control with particle swarm optimization
K Ekkachai, I Nilkhamhang - IEEE Transactions on Neural …, 2016 - ieeexplore.ieee.org
In recent years, intelligent prosthetic knees have been developed that enable amputees to
walk as normally as possible when compared to healthy subjects. Although semi-active …
walk as normally as possible when compared to healthy subjects. Although semi-active …
A new force myography-based approach for continuous estimation of knee joint angle in lower limb amputees and able-bodied subjects
In this paper, we present a new method for estimating knee joint angle using force
myography. The technique utilized force myogram signals from thigh muscles while subjects …
myography. The technique utilized force myogram signals from thigh muscles while subjects …