基于峰-谷分段积分算法的行走步态周期识别  

Walking Gait Cycle Recognition Based on Peak-valley Piecewise Integrator Algorithm

作　　者：杨鹏[1] 周丽红[1] 陈玲玲[1] 耿艳利[1] 

机构地区：[1]河北工业大学控制科学与工程学院,天津300130

出　　处：《计算机工程》2011年第23期168-170,共3页Computer Engineering

基　　金：国家科技支撑计划基金资助项目(2009BAI71B04;2006BAI22B07)

摘　　要：将表面肌电信号(SEMS)作为信息源,提出一种基于峰-谷分段积分算法的人体行走步态周期识别方法。通过凌阳SPCE061A单片机对SEMS进行实时采集,使用RS232串行口与PC机进行通信,将SEMS的数字量信息传递给PC机。在Visual C++环境下建立步态周期识别界面,采集6位被测者行走时的8个下肢SEMS。实验结果表明,该方法能提高识别结果的准确性和可靠性。This paper presents a walking gait cycle recognition based on Peak-valley Piecewise Integrator（PVPI） algorithm,it uses Surface Electromyogram Signal（SEMS） as information source.The SEMS signal can be real-time sampled by SPCE061A MCU,and communicate with PC through RS232.The digital value of signal can be delivered to the PC.The gait cycle identification experiment system is designed through Visual C＋＋6.0 based on PVPI algorithm.The signals analysis are sampled from 8 SEMS of 6 bodies when walking.The results of the system show that the walking gait cycle identification method is accuracy and reliablity.

关 键 词：表面肌电信号 峰-谷分段积分算法 串行口 步态周期识别 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]