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

本项目将开发一种用于两足动物运动的人工神经网络控制系统。其预期应用是恢复患有神经运动障碍的个体的运动能力。控制系统将具体解决自适应地控制多分段系统中的循环运动的问题电刺激肌肉作为致动器。脊椎动物神经运动控制系统的特点将融入到这个神经网络控制系统中。这项研究很重要，因为研究结果可能对功能性神经肌肉刺激康复设备有用，这种设备可以为患者提供脊髓损伤时的刺激行走，中风和头部损伤患者。

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.