Task-based methods for evaluating electrically stimulated antagonist muscle controllers

Single-joint motor neural prosthesis control algorithms were tested in a novel animal model. The model consisted of a human subject who provided joystick inputs to a controller. The controller output determined the stimulus activation levels of two antagonist muscles which manipulated the ankle join...

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Bibliographic Details
Published inIEEE transactions on biomedical engineering Vol. 36; no. 3; pp. 309 - 321
Main Author Durfee, W.K.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.03.1989
Institute of Electrical and Electronics Engineers
Subjects
Animals
Biological and medical sciences
Cats
Computer Simulation
Diseases of the nervous system
Electric Stimulation Therapy - instrumentation
Feedback
Humans
Medical sciences
Models, Biological
Muscle Contraction
Muscles
Neurofeedback
Open loop systems
Paralysis - rehabilitation
PD control
Proportional control
Prostheses and Implants
Prosthesis Design
Prosthetics
Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects)
Testing
Transducers
Fissipedia
Carnivora
Nervous system diseases
Prosthesis
Control system
Electric
Lower limb
Instrumentation therapy
Stimulation
Experimental study
Striated muscle
Algorithm
Modeling
Vertebrata
Mammalia
Animal
Surgery
Cat
Computerized processing
Comparative study
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ISSN0018-9294
DOI10.1109/10.19852

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Summary:Single-joint motor neural prosthesis control algorithms were tested in a novel animal model. The model consisted of a human subject who provided joystick inputs to a controller. The controller output determined the stimulus activation levels of two antagonist muscles which manipulated the ankle joint of an intact, anesthetized cat. Using visual feedback, the subject manipulated the system to perform positioning tasks which stimulated normal activity of an intact limb. Three controllers were evaluated: open-loop reciprocal control, proportional-differential (PD) closed-loop reciprocal control, and open-loop cocontraction control. The results demonstrated that, in the presence of visual feedback, open-loop cocontraction control compared favorably in performance to that of a PD closed-loop controller. This has a practical value for the implementation of clinical neural prostheses since it suggests that, in some cases feedback transducers may not be required for fine control.< >
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ISSN:0018-9294
DOI:10.1109/10.19852