A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles

被引：16

作者：

Buongiorno, Domenico ^{[1
]}

Barsotti, Michele ^{[1
]}

Sotgiu, Edoardo ^{[1
]}

Loconsole, Claudio ^{[1
]}

Solazzi, Massimiliano ^{[1
]}

Bevilacqua, Vitoantonio ^{[2
]}

Frisoli, Antonio ^{[1
]}

机构：

[1] Scuola Super Sant Anna, TeCIP Inst, PERCRO Lab, Pisa, Italy

[2] Politecn Bari, Dipartimento Ingn Elettr & Informaz DEI, Bari, Italy

来源：

2015 IEEE WORLD HAPTICS CONFERENCE (WHC) | 2015年

关键词：

Myoelectric Control; sEMG signals; NeuroMusculoSkeletal Model; Upper Limb; Genetic Algorithm; Exoskeleton; STROKE; ROBOT; REHABILITATION; STRATEGIES; EXTREMITY; MOVEMENTS; FORCES; SCHEME;

D O I：

10.1109/WHC.2015.7177725

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a myoelectric control of an arm exoskeleton designed for rehabilitation. A four-musclesbased NeuroMusculoSkeletal (NMS) model was implemented and optimized using genetic algorithms to adapt the model to different subjects. The NMS model is able to predict the shoulder and elbow torques which are used by the control algorithm to ensure a minimal force of interaction. The accuracy of the method is assessed through validation experiments conducted with two healthy subjects performing free movements along the pseudo-sagittal plane. The experiments show promising results for our approach showing its potential for being introduced in a rehabilitation protocol.

引用

页码：273 / 279

页数：7

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