Metrological characterization of a cycle-ergometer to optimize the cycling induced by functional electrical stimulation on patients with stroke

被引:14
作者
Comolli, Lorenzo [1 ]
Ferrante, Simona [2 ]
Pedrocchi, Alessandra [2 ]
Bocciolone, Marco [1 ]
Ferrigno, Giancarlo [2 ]
Molteni, Franco [3 ]
机构
[1] Politecn Milan, Dipartimento Meccan, I-20133 Milan, Italy
[2] Politecn Milan, Neuroengn & Med Robot Lab, Dipartimento Bioingn, I-20133 Milan, Italy
[3] Valduce Hosp, Villa Beretta Rehabil Ctr, Costamasnaga, LC, Italy
关键词
Cycle-ergometer; Wireless data transmission; Mechanical measurements; Data analysis; Rehabilitation; FES cycling; Hemiplegia; OUTPUT;
D O I
10.1016/j.medengphy.2010.01.005
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Functional electrical stimulation (FES) is a well established method in the rehabilitation of stroke patients. Indeed, a bilateral movement such as cycling induced by FES would be crucial for these patients who had an unilateral motor impairment and had to recover an equivalent use of limbs. The aim of this study was to develop a low-cost metrologically qualified cycle-ergometer, optimized for patients with stroke. A commercial ergometer was instrumented with resistive strain gauges and was able to provide the torque produced at the right and left crank, independently. The developed system was integrated with a stimulator, obtaining a novel FES cycling device able to control in real-time the movement unbalance. A dynamic calibration of the sensors was performed and a total torque uncertainty was computed. The system was tested on a healthy subject and on a stroke patient. Results demonstrated that the proposed sensors could be successfully used during FES cycling sessions where the maximum torque produced is about 9 N m, an order of magnitude less than the torque produced during voluntary cycling. This FES cycling system will assist in future investigations on stroke rehabilitation by means of FES and in new exercise regimes designed specifically for patients with unilateral impairments. (C) 2010 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:339 / 348
页数:10
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