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METHOD AND SYSTEM FOR CONTROLLING AN INTELLIGENT BIONIC LIMB

机译:控制智能仿生肢体的方法和系统

摘要

The present technical solution relates to the field of medical technology, more particularly to prosthetics, and even more particularly to methods and systems for controlling an intelligent bionic limb, and is intended for replacing missing limbs in humans, and also for the independent use of parts of a prosthesis in different tasks in order to improve quality of life. The present method for controlling an intelligent bionic limb includes obtaining at least one EMG signal from a patient by means of a myoelectric reading device; processing said at least one EMG signal by non-overlapping segmentation of the EMG signal; forming, for each segment obtained in the previous step, a set of EMG signal features based on the amplitude of the EMG signal for the purpose of classifying gestures; transmitting the set of EMG signal features of each segment via a data transmission channel to a control system of an intelligent bionic limb; identifying a gesture type on the basis of a set of EMG signal features using an artificial neural network; generating a control signal on the basis of the identified gesture type; transmitting the generated control signal to motors which actuate the fingers of the bionic limb; and receiving feedback from the control system of the intelligent bionic limb by receiving data from external sensors. The technical result is more accurate positioning and decision-making when grasping.
机译:本技术方案涉及医疗技术领域,更具体地,涉及假肢,甚至更具体地,涉及用于控制智能仿生肢体的方法和系统,并且旨在替代人类中缺失的肢体,并且还用于部件的独立使用。在不同任务中修复假体,以改善生活质量。本发明的控制智能仿生肢体的方法包括通过肌电读取装置从患者获得至少一个EMG信号。通过EMG信号的非重叠分割来处理所述至少一个EMG信号;对于上一步获得的每个片段,基于肌电信号的幅度,形成一组肌电信号特征,用于手势分类;通过数据传输通道将每个段的肌电信号特征集传输到智能仿生肢体的控制系统;使用人工神经网络基于一组EMG信号特征识别手势类型;根据所识别的手势类型生成控制信号;将产生的控制信号传输到驱动仿生肢的手指的电机;通过从外部传感器接收数据,从智能仿生肢体的控制系统接收反馈。技术结果是在抓握时可以进行更准确的定位和决策。

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