Effects of Robotic Exoskeleton Dynamics on Joint Recruitment in a Neurorehabilitation Context

被引:0
作者
Fong, Justin [1 ]
Crocher, Vincent [1 ]
Oetomo, Denny [1 ]
Tan, Ying [1 ]
Mareels, Iven [1 ]
机构
[1] Univ Melbourne, Melbourne Sch Engn, Melbourne, Vic 3010, Australia
来源
PROCEEDINGS OF THE IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR 2015) | 2015年
关键词
ARM; COORDINATION; MOVEMENTS;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Increasing research has been conducted into the use of robotic devices for neurorehabilitation. One advantage of these devices over traditional rehabilitation is the availability of measured data, which can be used to inform potential patient-specific protocol for recovery or simply to provide higher frequency feedback to the patients and therapists. It has previously been identified that such devices may have unplanned effects on the movement of patients. However, the exact nature of these effects are unknown, which makes the meaning of any measured data less clear. As such, this study investigates the effect of the mechanical dynamics of a robotic exoskeleton (ArmeoPower, Hocoma, Switzerland) on the movements of healthy subjects - particularly with respect to the movements of the shoulder, and joint utilisation. The study finds that the exoskeleton may encourage changes in shoulder movement in both magnitude and direction and changes in the joints recruited for the movement. Furthermore, the effects of the robot on joint utilisation are not consistent across reaching directions, however, the peak joint velocities are decreased across all joints and reaching directions.
引用
收藏
页码:834 / 839
页数:6
相关论文
共 20 条
[1]   Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review [J].
Basteris, Angelo ;
Nijenhuis, Sharon M. ;
Stienen, Arno H. A. ;
Buurke, Jaap H. ;
Prange, Gerdienke B. ;
Amirabdollahian, Farshid .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2014, 11
[2]   Compensatory strategies for reaching in stroke [J].
Cirstea, MC ;
Levin, MF .
BRAIN, 2000, 123 :940-953
[3]   Upper Limb Posture Estimation in Robotic and Virtual Reality-Based Rehabilitation [J].
Cortes, Camilo ;
Ardanza, Aitor ;
Molina-Rueda, F. ;
Cuesta-Gomez, A. ;
Unzueta, Luis ;
Epelde, Gorka ;
Ruiz, Oscar E. ;
De Mauro, Alessandro ;
Florez, Julian .
BIOMED RESEARCH INTERNATIONAL, 2014, 2014
[4]   A Tool to Address Movement Quality Outcomes of Post-stroke Patients [J].
Crocher, Vincent ;
Fong, Justin ;
Klaic, Marlena ;
Oetomo, Denny ;
Tan, Ying .
REPLACE, REPAIR, RESTORE, RELIEVE - BRIDGING CLINICAL AND ENGINEERING SOLUTIONS IN NEUROREHABILITATION, 2014, 7 :329-339
[5]   Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review [J].
de los Reyes-Guzman, Ana ;
Dimbwadyo-Terrer, Iris ;
Trincado-Alonso, Fernando ;
Monastetio-Huelin, Felix ;
Torricelli, Diego ;
Gil-Agudo, Angel .
CLINICAL BIOMECHANICS, 2014, 29 (07) :719-727
[6]   THE COORDINATION OF ARM MOVEMENTS - AN EXPERIMENTALLY CONFIRMED MATHEMATICAL-MODEL [J].
FLASH, T ;
HOGAN, N .
JOURNAL OF NEUROSCIENCE, 1985, 5 (07) :1688-1703
[7]  
Fong J, 2015, P 7 INT IEEE EMBS NE
[8]  
FUGLMEYER AR, 1975, SCAND J REHABIL MED, V7, P13
[9]   Computational motor control: Redundancy and invariance [J].
Guigon, Emmanuel ;
Baraduc, Pierre ;
Desmurget, Michel .
JOURNAL OF NEUROPHYSIOLOGY, 2007, 97 (01) :331-347
[10]   Robotic neurorehabilitation: a computational motor learning perspective [J].
Huang, Vincent S. ;
Krakauer, John W. .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2009, 6