Title :
Real-time digital myoelectric pattern detector system
Author :
Munoz, Raul ; Leija, L. ; Tovar, Blanca ; Alvarez, J.
Author_Institution :
Dept. of Electr. Eng., CINVESTAV-IPN, Mexico City
Abstract :
A prototype instrument is described that use a digital signal processor to estimate four features: mean absolute value, variance, zero crossing and mean frequency, that represent the myoelectric patterns. These features are obtained on-line, the time to data acquisition and processing is 170 ms. Results are presented to support the prototype instrument efficiency
Keywords :
biomedical equipment; electromyography; medical signal processing; pattern recognition; signal detection; 170 ms; EMG analysis; data acquisition; digital signal processor; electrodiagnostics; instrument efficiency; mean absolute value; mean frequency; prototype instrument; real-time digital myoelectric pattern detector system; variance; zero crossing; Computational complexity; Detectors; Digital signal processors; Feature extraction; Frequency conversion; Frequency estimation; Instruments; Prosthetics; Prototypes; Real time systems;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.656827
