Closed-Loop Continuous Hand Control via Chronic Recording of Regenerative Peripheral Nerve Interfaces
نویسندگان
چکیده
منابع مشابه
Chronic recording of hand prosthesis control signals via a regenerative peripheral nerve interface in a rhesus macaque.
OBJECTIVE Loss of even part of the upper limb is a devastating injury. In order to fully restore natural function when lacking sufficient residual musculature, it is necessary to record directly from peripheral nerves. However, current approaches must make trade-offs between signal quality and longevity which limit their clinical potential. To address this issue, we have developed the regenerat...
متن کاملAbstract: Validation of Regenerative Peripheral Nerve Interfaces for Control of a Myoelectric Hand by Macaques and Human
INTRODUCTION: Regenerative Peripheral Nerve Interfaces (RPNIs) are promising for interfacing human intentions to myoelectric prostheses. Rat studies led to proof of internal RPNI long-term function and high signal to noise ratio with no adverse biological effects. Validation of voluntary and independent RPNI function has also been determined. However, true voluntary fine control of fingers and ...
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The ability to stabilize a system and achieve performance objectives using active feedback control is highly dependent on the location, quality, type, and number of control actuators and sensors. One role of a control engineer is to interact with the system designer to locate, size, and determine the quality of actuators and sensors required for effective control. This paper addresses one of th...
متن کاملClosed-Loop Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals
OBJECTIVE A neuroprosthesis using a brain-machine interface (BMI) is a promising therapeutic option for severely paralyzed patients, but the ability to control it may vary among individual patients and needs to be evaluated before any invasive procedure is undertaken. We have developed a neuroprosthetic hand that can be controlled by magnetoencephalographic (MEG) signals to noninvasively evalua...
متن کاملDesigning Closed-Loop Brain-Machine Interfaces Using Model Predictive Control
Brain-machine interfaces (BMIs) are broadly defined as systems that establish direct communications between living brain tissue and external devices, such as artificial arms. By sensing and interpreting neuronal activities to actuate an external device, BMI-based neuroprostheses hold great promise in rehabilitating motor disabled subjects, such as amputees. In this paper, we develop a control-t...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Systems and Rehabilitation Engineering
سال: 2018
ISSN: 1534-4320,1558-0210
DOI: 10.1109/tnsre.2017.2772961