Literature DB >> 26731771

LOPES II--Design and Evaluation of an Admittance Controlled Gait Training Robot With Shadow-Leg Approach.

Jos Meuleman, Edwin van Asseldonk, Gijs van Oort, Hans Rietman, Herman van der Kooij.   

Abstract

Robotic gait training is gaining ground in rehabilitation. Room for improvement lies in reducing donning and doffing time, making training more task specific and facilitating active balance control, and by allowing movement in more degrees of freedom. Our goal was to design and evaluate a robot that incorporates these improvements. LOPES II uses an end-effector approach with parallel actuation and a minimum amount of clamps. LOPES II has eight powered degrees of freedom (hip flexion/extension, hip abduction/adduction, knee flexion/extension, pelvis forward/aft and pelvis mediolateral). All other degrees of freedom can be left free and pelvis frontal- and transversal rotation can be constrained. Furthermore arm swing is unhindered. The end-effector approach eliminates the need for exact alignment, which results in a donning time of 10-14 min for first-time training and 5-8 min for recurring training. LOPES II is admittance controlled, which allows for the control over the complete spectrum from low to high impedance. When the powered degrees of freedom are set to minimal impedance, walking in the device resembles free walking, which is an important requisite to allow task-specific training. We demonstrated that LOPES II can provide sufficient support to let severely affected patients walk and that we can provide selective support to impaired aspects of gait of mildly affected patients.

Entities:  

Mesh:

Year:  2015        PMID: 26731771     DOI: 10.1109/TNSRE.2015.2511448

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  23 in total

1.  Hierarchical Compliance Control of a Soft Ankle Rehabilitation Robot Actuated by Pneumatic Muscles.

Authors:  Quan Liu; Aiming Liu; Wei Meng; Qingsong Ai; Sheng Q Xie
Journal:  Front Neurorobot       Date:  2017-12-04       Impact factor: 2.650

Review 2.  Robot-supported assessment of balance in standing and walking.

Authors:  Camila Shirota; Edwin van Asseldonk; Zlatko Matjačić; Heike Vallery; Pierre Barralon; Serena Maggioni; Jaap H Buurke; Jan F Veneman
Journal:  J Neuroeng Rehabil       Date:  2017-08-14       Impact factor: 4.262

3.  Volition-adaptive control for gait training using wearable exoskeleton: preliminary tests with incomplete spinal cord injury individuals.

Authors:  Vijaykumar Rajasekaran; Eduardo López-Larraz; Fernando Trincado-Alonso; Joan Aranda; Luis Montesano; Antonio J Del-Ama; Jose L Pons
Journal:  J Neuroeng Rehabil       Date:  2018-01-03       Impact factor: 4.262

4.  Multi-Axis Force Sensor for Human-Robot Interaction Sensing in a Rehabilitation Robotic Device.

Authors:  Victor Grosu; Svetlana Grosu; Bram Vanderborght; Dirk Lefeber; Carlos Rodriguez-Guerrero
Journal:  Sensors (Basel)       Date:  2017-06-05       Impact factor: 3.576

5.  Development of KIINCE: A kinetic feedback-based robotic environment for study of neuromuscular coordination and rehabilitation of human standing and walking.

Authors:  Wendy L Boehm; Kreg G Gruben
Journal:  J Rehabil Assist Technol Eng       Date:  2018-09-20

6.  New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors.

Authors:  Yongfei Feng; Hongbo Wang; Luige Vladareanu; Zheming Chen; Di Jin
Journal:  Sensors (Basel)       Date:  2019-08-06       Impact factor: 3.576

7.  Multi-Exergames to Set Targets and Supplement the Intensified Conventional Balance Training in Patients With Stroke: A Randomized Pilot Trial.

Authors:  Imre Cikajlo; Marko Rudolf; Renato Mainetti; Nunzio Alberto Borghese
Journal:  Front Psychol       Date:  2020-04-02

8.  Prediction Algorithm of Parameters of Toe Clearance in the Swing Phase.

Authors:  Tamon Miyake; Masakatsu G Fujie; Shigeki Sugano
Journal:  Appl Bionics Biomech       Date:  2019-08-14       Impact factor: 1.781

9.  Human biomechanics perspective on robotics for gait assistance: challenges and potential solutions.

Authors:  Amy R Wu
Journal:  Proc Biol Sci       Date:  2021-08-04       Impact factor: 5.530

10.  An Adaptive Neuromuscular Controller for Assistive Lower-Limb Exoskeletons: A Preliminary Study on Subjects with Spinal Cord Injury.

Authors:  Amy R Wu; Florin Dzeladini; Tycho J H Brug; Federica Tamburella; Nevio L Tagliamonte; Edwin H F van Asseldonk; Herman van der Kooij; Auke J Ijspeert
Journal:  Front Neurorobot       Date:  2017-06-20       Impact factor: 2.650

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.