Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.
نویسندگان
چکیده
Using electromyogram (EMG) signals to control upper-limb prostheses is an important clinical option, offering a person with amputation autonomy of control by contracting residual muscles. The dexterity with which one may control a prosthesis has progressed very little, especially when controlling multiple degrees of freedom. Using pattern recognition to discriminate multiple degrees of freedom has shown great promise in the research literature, but it has yet to transition to a clinically viable option. This article describes the pertinent issues and best practices in EMG pattern recognition, identifies the major challenges in deploying robust control, and advocates research directions that may have an effect in the near future.
منابع مشابه
Electromyography Pattern-Recognition-Based Control of Powered Multifunctional Upper-Limb Prostheses
The human history has been accompanied by accidental trauma, war, and congenital anomalies. Consequently, amputation and deformity have been dealt with, one way or another, throughout the ages. More than one million individuals in the United States today are living with limb amputations (Adams et al., 1999), in which there are approximately 100,000 patients with an upper limb amputation. The wa...
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ورودعنوان ژورنال:
- Journal of rehabilitation research and development
دوره 48 6 شماره
صفحات -
تاریخ انتشار 2011