EMG-driven models of human-machine interaction in individuals wearing the H2 exoskeleton

被引：8

作者：

Durandau, Guillaume ^{[1
]}

Sartori, Massimo ^{[1
]}

Bortole, Magdo ^{[2
]}

Moreno, Juan C. ^{[2
]}

Pons, Jose L. ^{[2
,3
]}

Farina, Dario ^{[4
]}

机构：

[1] Univ Med Gottingen, Inst Neurorehabil Syst, Gottingen, Germany

[2] CSIC, Cajal Inst, Madrid, Spain

[3] Tecnol Monterrey, Monterrey, Mexico

[4] Imperial Coll London, Dept Biomed Engn, London, England

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 32期

关键词：

Exoskeleton; EMG; modeling; wearable; human-machine interface;

D O I：

10.1016/j.ifacol.2016.12.214

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

EMG-driven modeling has been mostly used offline and on powerful desktop computers, limiting the application of this technique to neurorehabilitation settings. In this paper, we demonstrate the use of EMG-driven modeling in online (i.e. in real-time) running on a fully portable embedded system and interfaced concurrently with a powered lower limb exoskeleton. This work provides evidence of the feasibility of real-time model-based control of complex multi-joint exoskeleton system, thus opening new avenues for personalised robot-aided rehabilitation interventions. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：200 / 203

页数：4

共 7 条

[1] The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study [J].

Bortole, Magdo ;

Venkatakrishnan, Anusha ;

Zhu, Fangshi ;

Moreno, Juan C. ;

Francisco, Gerard E. ;

Pons, Jose L. ;

Contreras-Vidal, Jose L. .

JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12

[2] Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces [J].

Gerus, Pauline ;

Sartori, Massimo ;

Besier, Thor F. ;

Fregly, Benjamin J. ;

Delp, Scott L. ;

Banks, Scott A. ;

Pandy, Marcus G. ;

D'Lima, Darryl D. ;

Lloyd, David G. .

JOURNAL OF BIOMECHANICS, 2013, 46 (16) :2778-2786

[3] CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks [J].

Pizzolato, Claudio ;

Lloyd, David G. ;

Sartori, Massimo ;

Ceseracciu, Elena ;

Besier, Thor F. ;

Fregly, Benjamin J. ;

Reggiani, Monica .

JOURNAL OF BIOMECHANICS, 2015, 48 (14) :3929-3936

[4]

Sartori M., 2011, PLOS ONE, V7

[5]

SARTORI M, 2012, A J, V45, P595, DOI DOI 10.1016/J.JBIOMECH.2011.10.040

[6] Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion [J].

Sartori, Massimo ;

Maculan, Marco ;

Pizzolato, Claudio ;

Reggiani, Monica ;

Farina, Dario .

JOURNAL OF NEUROPHYSIOLOGY, 2015, 114 (04) :2509-2527

[7] A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives [J].

Sartori, Massimo ;

Gizzi, Leonardo ;

Lloyd, David G. ;

Farina, Dario .

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7

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