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.
出处
《计算机工程》
CAS
CSCD
北大核心
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)
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
Surface Electromyogram Signal（SEMS）
Peak-valley Piecewise Integrator（PVPI） algorithm
serial port
gait cycle recognition
