| dc.contributor.author |
Quevedo, A. A. F. |
|
| dc.contributor.author |
Cliquet Jr., A. |
|
| dc.date.accessioned |
2011-10-03T16:10:04Z |
|
| dc.date.available |
2011-10-03T16:10:04Z |
|
| dc.date.issued |
1993 |
|
| dc.identifier.citation |
From "MEC 93," Proceedings of the 1993 MyoElectric Controls/Powered Prosthetics Symposium
Fredericton, New Brunswick, Canada: August, 1993. Copyright University of New Brunswick.
|
|
| dc.identifier.uri |
https://hdl.handle.net/10161/4821 |
|
| dc.description.abstract |
The use of Neuromuscular Electrical Stimulation (NMES) in the rehabilitation of paraplegic
and tetraplegic individuals has been under investigation. However, in order to use
this technique beyond the laboratory, there is the need of well elaborated control
strategies Among these strategies, the monitoring of myoelectric (EMG) signals seems
to be very promising. A real-time system could detect and analyse the surface myoelectric
signals from the musculature of the trunk and upper limbs (under volitive control
by the patient), as well as detect the body movement when the patient wants to perform
a step. A comparison between the intensity of the myoelectric signal and a reference
threshold was tried, but it didn't yield good results. order to analyse the surface
myoelectric signal more deeply in order to find control patterns for NMES control,
a system for digital EMG signal analysis has been developed.
|
|
| dc.publisher |
Myoelectric Symposium |
|
| dc.title |
A System For Digital Analysis Of Electromyographic Signals |
|
