[A method for real-time pickup action signal].
Generally, each single action is picked up from successive action EMG signal by hand. Then this colleced signal is discriminated after getting its features. But doing by this way is obviously difficult to meet requirements of the myoelectric artificial limb. So this paper presents an easy method from the myoelectric energy point of view. The action signal segments and no-action signal segments are picked up from colleced EMG signal. Thus it is convenient for the relevant follow-up processing, and avoids dealing with no-action signal data. Therefore it is of useful and practical significance for multifunction myoelectric control of prostheses. In this paper, it has been proved that this method is feasible by using it to pick up actual effective action signal.
Lei
M
M
Shanghai Jiaotong University.
Wana
Z Z
ZZ
D000465:Algorithms; D001186:Artificial Limbs; D004576:Electromyography; D011474:Prosthesis Design; D012815:Signal Processing, Computer-Assisted