BAC: Neural Network Control of Oscillatory Movements of Multi-segmented Musculoskeletal Systems

该项目将开发一个 人工神经网络控制 系统的自动化。 的 预期应用是 恢复运动能力 有神经运动障碍的人 损伤 控制系统 将专门针对 自适应控制问题 循环运动， 分段系统使用 电刺激肌肉， 执行器 特性特征 脊椎动物的神经运动 控制系统将 整合到这个神经系统中 网络控制系统 这项研究很重要，因为 这些结果可能有助于 功能性神经肌肉 刺激康复器 其提供电 脊髓内刺激行走 受伤、中风和头部受伤 患者

This project will develop an artificial neural network control system for biped locomotion. The intended application is the restoration of locomotion in individuals with neuromotor impairments. The control system will specifically address the problem of adaptively controlling cyclic movements in multi- segmented systems using electrically stimulated muscles as actuators. Characteristic features of vertebrate neuromotor locomotion control systems will be incorporated into this neural network control system. This research is important since the results may be useful in Functional Neuromuscular Stimulation rehabilitative devices that provide electrically stimulated walking in spinal cord injury, stroke and head injury patients.