基于眼肌肌电信号分析的眨眼识别

摘要

通过提取与分析人体的肌电信号,能有效地获取生物动作信息,帮助瘫痪病人恢复某些特定的生物功能.对上眼提肌肉的肌电信号进行分析与研究,提出了眨眼行为判断识别装置的设计过程.采用优化算法以及使用相关模拟软件(SIMULINK[2])、电路模型和选取恰当的神经元,达到有效地减弱外界噪声对肌电信号的干扰,省去小波建模分析,并在实验中取得了高准确度的判断效果.%By extracting and analysing human Electromyogram (EMG) signal, the movement information of living creatures could be obtained effectively to help restoring of certain specific functions with regard to paralysis patients. This article mainly describes the research procedure of analysing levator palpebrae superioris electromyogram signal and introduces the designing method of blinking detection device.Through selecting the optimised algorithm and using related simulation program (SIMULINK) and electrical circuit model, and choosing appropriate neuron, the effective slackening of interference of outside noise on electromyogram signal is achieved, it leaves out the wavelet modelling analysis and gains estimation effect with high accuracy in experiments.