摘要
提出了一个表面肌电信号运动模式分类器,利用安置在拇长屈肌和指深屈肌上的2个电极所测得的肌电信号,该运动模式分类器能够成功的分辨出拇指、食指和中指的弯曲运动.完成了对所研制仿人型残疾人假手的控制.
A surface electromyography （EMG） motion pattern classifier is presented. This motion pattern classifier can successfully identify three types of flexion motion of thumb, index finger and middle finger, by measuring the surface EMG through two electrodes mounted on the flexor digitorum profundus and flexor pollicis longus. Finally, the prosthetic hand can be controlled by the classifier.
出处
《机械与电子》
2006年第8期54-56,共3页
Machinery & Electronics
基金
国家自然科学基金重点项目资助(50435040)
