• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Siberian Conference on Control and Communications >Informative Components from Biophysical Signals Selection Method Based on Discrete Wavelet-Conversion
【24h】

Informative Components from Biophysical Signals Selection Method Based on Discrete Wavelet-Conversion

机译：基于离散小波变换的生物物理信号选择方法中的信息成分

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The problem of selection the useful components of surface electromyography signals in prosthetic systems is discussed. The useful EMG signal is used to register muscle contractions and to classify gestures. Problematic factors are the technical disadvantages of the method perception myoelectric signals caused by contact and kinetic parameters of the skin. The combination of statistical inhomogeneity of the electric signal is aggravated by the presence of additive noise and interference. The purpose of the work is to assess the types of interference by the character of the impact on the signal, by the sources of their occurrence, by the probabilistic characteristics and choose a filtering method. The biophysical signal processing method using a mathematical apparatus based on discrete wavelet - Conversion has been proposed. According to the results of simulation using software and hardware from National Instruments, useful signals with a high level of signal-to-noise ratio for controlling the prototype of a bionic prosthesis were identified.
机译：讨论了在修复系统中选择表面肌电信号有用成分的问题。有用的EMG信号用于记录肌肉收缩并对手势进行分类。问题因素是由皮肤的接触和动力学参数引起的方法感知肌电信号的技术缺点。存在附加噪声和干扰会加剧电信号的统计不均匀性。这项工作的目的是通过对信号的影响特性，发生的原因，概率特征来评估干扰的类型，并选择一种滤波方法。已经提出了使用基于离散小波-转换的数学装置的生物物理信号处理方法。根据使用National Instruments的软件和硬件进行的仿真结果，确定了具有高信噪比水平的有用信号，可用于控制仿生假体的原型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号