摘要
为了可靠获取人体运动意图,对假肢、外骨骼机器人进行有效控制,评价助力效果,设计了一种基于STM32处理器的无线肌电采集装置。介绍了装置的前端调理硬件电路、无线传输和上位机数据处理的设计方案,给出了工频滤波算法及表面肌电信号的简单特征提取方法。这种表面肌电采集装置具有通道数目多、实时性强、数据传输距离远、精度高、操作简便等优点。如果将采集装置构成表面肌电采集阵列,可用于复杂手势的识别。
In order to obtain movement intention, control artificial limbs, control exoskeletons robot and evaluate assist effect. We designed a wireless SEMG collection device based on the STM32 processor. This paper introduced the related front-hardware circuit, wireless transmission and data processing on PC. The power frequency filter algorithm and the SEMG feature extraction method are presented. This device has many advantages： multi-channel, real-time collection, long transmission distance, high preci- sion, and simple operation. If muhiple sensors are disposed as an array, use the relevant algorithm, the device can be used to rec- ognize complex gestures.
出处
《电子技术应用》
北大核心
2012年第7期78-80,83,共4页
Application of Electronic Technique
基金
湖北省自然科学基金(2009CDB281)
关键词
表面肌电采集
梳状滤波
功率谱
无线传输
SEMG
notch filter
power spectrum density
wireless transmission
