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运用数学模型和先进的控制系统技术来增强神经假体的功能。

Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function.

机构信息

Center for Biomedical Engineering, Department of Physical Medicine & Rehabilitation, and Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky, USA, and Institute of Automatic Control Engineering, Munich University of Technology, Munich, Germany.

出版信息

Neuromodulation. 2001 Oct;4(4):187-95. doi: 10.1046/j.1525-1403.2001.00187.x.

Abstract

Systems that use electrical stimulation to activate paralyzed muscles, called "neuroprostheses", have restored important functional capabilities to many people with neurologic disorders such as spinal cord injury or stroke. However, the clinical benefits derived from neuroprostheses have been limited by the quality of control of posture and movement that has been achieved. Over the past few decades, engineers have used mathematical models and control systems technology to develop functional neuromuscular stimulation (FNS) control systems that show promise in the laboratory, but these have not yet been incorporated into practical solutions for clinical problems. This article briefly reviews several of the complicating factors in controlling FNS systems and describes the potential roles of biomechanical modeling and advanced control system technology. Three important challenges in FNS control systems research and development are identified: 1) to obtain an improved understanding of the biomechanical system that we are trying to control and how it is controlled by the intact neural system, 2) to develop new control system technology with a particular focus on strategies that mimic those used by biologic systems, and 3) to integrate the knowledge and technologies into useful systems that meet the needs of neuroprosthesis users. The outlook for the future includes many interesting problems; yet more importantly, it includes relevant clinical benefits to be gained through the application of biomechanical models and advanced control systems techniques in neuroprostheses.

摘要

利用电刺激激活瘫痪肌肉的系统,称为“神经假体”,已经为许多患有神经疾病的人(如脊髓损伤或中风)恢复了重要的功能能力。然而,神经假体所获得的临床益处受到所实现的姿势和运动控制质量的限制。在过去的几十年中,工程师们已经使用数学模型和控制系统技术来开发功能性神经肌肉刺激 (FNS) 控制系统,这些系统在实验室中显示出了希望,但尚未将其纳入临床问题的实际解决方案中。本文简要回顾了控制 FNS 系统的几个复杂因素,并描述了生物力学建模和先进控制系统技术的潜在作用。确定了 FNS 控制系统研究和开发中的三个重要挑战:1)更好地理解我们试图控制的生物力学系统以及完整的神经系统如何控制它,2)开发新的控制系统技术,特别关注模仿生物系统使用的策略,以及 3)将知识和技术集成到满足神经假体使用者需求的有用系统中。未来的前景包括许多有趣的问题;但更重要的是,通过在神经假体中应用生物力学模型和先进的控制系统技术,可以获得相关的临床益处。

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