scholarly journals Knee joint movement and muscle activity changes in stroke hemiplegic patients on continuous use of knee-ankle-foot orthosis with adjustable knee joint

2021 ◽  
Vol 33 (4) ◽  
pp. 322-328
Author(s):  
Minoru Murayama
Author(s):  
Ehsan Tarkesh ◽  
Mohammad H. Elahinia ◽  
Mohamed Samir Hefzy

This paper is on development of an active ankle foot orthosis (AAFO). This device will fill the gap in the existing research aimed at helping patients with drop foot muscle deficiencies as well as rehabilitation activities. Drop foot patients are unable to lift their foot because of reduced or no muscle activity around the ankle. The major causes of drop foot are severing of the nerve, stroke, cerebral palsy and multiple sclerosis. There are two common complications from drop foot. First, the patient cannot control the falling of their foot after heel strike, so that it slaps the ground on every step. The second complication is the inability to clear the toe during swing. This causes the patients to drag their toe on the ground throughout the swing.


Author(s):  
Shramana Ghosh ◽  
Nina P. Robson ◽  
J. Michael McCarthy

Abstract This paper presents a new two-step design procedure and preliminary kinematic evaluation of a novel, passive, six-bar knee-ankle-foot orthosis (KAFO). The kinematic design and preliminary kinematic gait analysis of the KAFO are based on motion capture data from a single healthy male subject. Preliminary kinematic evaluation shows that the designed passive KAFO is capable of supporting flexion and extension of the knee joint during stance and swing phases of walking. The two-step design procedure for the KAFO consists of (1) computational synthesis based on user's motion data and (2) performance optimization. In the computational synthesis step, first the lower leg (knee-ankle-foot) of the subject is approximated as a 2R kinematic chain and its target trajectories are specified from motion capture data. Six-bar linkages are synthesized to coordinate the angular movements of knee and ankle joints of the 2R chain at 11 accuracy points. The first step of the design procedure yields 332 six-bar KAFO design candidates. This is followed by a performance optimization step in which the KAFO design candidates are optimally modified to satisfy specified constraints on end-effector trajectory and shape. This two-step process yields an optimally designed passive six-bar KAFO that shows promising kinematic results at the knee joint of the user during walking. The preliminary prototype manufactured is cost effective, easy to operate, and suitably demonstrates the feasibility of the proposed concept.


Author(s):  
Ryuji Tsuzuki ◽  
Taku Itami ◽  
Ken’ichi Yano ◽  
Takaaki Aoki ◽  
Yutaka Nishimoto

Abstract Walking disturbance is one of the dysfunctions caused by stroke. In walking rehabilitation, it is common to shift to an ankle-foot-orthosis after using a knee-ankle-foot-orthosis for patients with stroke. However, there exist such danger of falling due to knee bending. The purpose of this research is to develop a robotic knee orthosis for hemiplegic patients to prevent falls. The equipment prevents falling by locking the knee joint when knee bending occurs. We analyzed the falling motion according to knee bending and designed the control system focusing on the result that the speed of the center of gravity in the traveling direction becomes zero. In the experiments, we demonstrated the effectiveness of the proposed method by reproducing the knee bending during walking of a healthy subject. As the result, it was demonstrated that the device was operating before the knee bending occurs and it was possible to prevent falls.


2015 ◽  
Vol 30 (8) ◽  
pp. 775-780 ◽  
Author(s):  
Toshiki Kobayashi ◽  
Madeline L. Singer ◽  
Michael S. Orendurff ◽  
Fan Gao ◽  
Wayne K. Daly ◽  
...  

2017 ◽  
Vol 29 (4) ◽  
pp. 177-182
Author(s):  
Masoud Rafiaei ◽  
Mokhtar Arazpour ◽  
Mahmood Bahramizadeh ◽  
Farzam Farahmand ◽  
Nima Jamshidi ◽  
...  

2011 ◽  
Vol 26 (5) ◽  
pp. 673-677 ◽  
Author(s):  
Hirokazu HARUNA ◽  
Shunichi SUGIHARA ◽  
Keisuke KON ◽  
Yasuyuki HAYAKAWA ◽  
Toshiya NOSAKA

Sign in / Sign up

Export Citation Format

Share Document