首页> 外文会议>IEEE Symposium on Computer-Based Medical Systems >Time series analysis of bio-medical signals
【24h】

Time series analysis of bio-medical signals

机译:生物医学信号的时间序列分析

获取原文

摘要

This study presents Time Series Analysis of Bio-Medical Signals utilizing the method of Relative Power Contribution (RPC). At first, the spatial relationship of the movement of the lips, chin and throat in the swallowing function is presented while wearing dentures and without dentures. In the case of patients wearing dentures it was observed that the relationship between the lips, chin and throat improved more significantly and than without dentures. Next, the relationship of the movement of the knee and pelvis while walking with an injured foot is presented. In the case of patients walking with an injured foot it was observed that the pelvis on the good side of the leg supported the knee. The RPC expresses the degree of contribution of the other variables to a variable. Using this analysis of RPC, it can help make a more effective plan of kinesitherapy in rehabilitation for the improvement of each patient.
机译:本研究介绍了利用相对功率贡献方法(RPC)的生物医疗信号的时间序列分析。起初,吞咽函数中嘴唇,下巴和喉部的运动的空间关系在戴着假牙和没有假牙的同时呈现。在佩戴假牙的患者的情况下,观察到嘴唇,下巴和喉咙之间的关系更显着,而不是义齿。接下来,提出了膝盖和骨盆的运动的关系,同时用受伤的脚行走。在用受伤的脚行走的患者的情况下,观察到腿部的骨盆上的骨盆支撑了膝盖。 RPC表达了其他变量对变量的贡献程度。利用RPC的这种分析,它可以帮助制定更有效的康涅狄症计划,以改善每位患者的康复。

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