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The muscle activation method: An approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm

Kim, HK; Carmena, JM; Biggs, SJ; Hanson, TL; Nicolelis, MAL; Srinivasan, MA; (2007) The muscle activation method: An approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm. IEEE T BIO-MED ENG , 54 (8) 1520 - 1529. 10.1109/TBME.2007.900818.

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Abstract

Current demonstrations of brain-machine interfaces (BMIs) have shown the potential for controlling neuroprostheses under pure motion control. For interaction with objects, however, pure motion control lacks the information required for versatile manipulation. This paper investigates the idea of applying impedance control in a BMI system. An extraction algorithm incorporating a musculoskeletal arm model was developed for this purpose. The new algorithm, called the muscle activation method (MAM), was tested on cortical recordings,from a behaving monkey. The MAM was found to predict motion parameters with as much accuracy as a linear filter. Furthermore, it successfully predicted limb interactions with novel force fields, which is a new and significant capability lacking in other algorithms.

Type:Article
Title:The muscle activation method: An approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm
DOI:10.1109/TBME.2007.900818
Keywords:brain-machine interfaces, impedance control, musculoskeletal model, neuro-, MOTOR CORTICAL REPRESENTATION, NEURAL PROSTHETICS, REACHING MOVEMENTS, CONTROL SIGNALS, CORTEX ACTIVITY, DIRECTION, BIOMECHANICS, PREDICTION, SHOULDER, SYSTEM
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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