Title :
Knowledge-based signal processing in the decomposition of myoelectric signals
Author_Institution :
Chalmers Univ. of Technol., Goteborg, Sweden
fDate :
6/1/1988 12:00:00 AM
Abstract :
The mixture of quantitative and qualitative information utilized in decomposition, which suggests that a purely numerical approach to the task would be inefficient, is discussed. The incorporation of symbolic processing methods into the decomposition system to complement the numerical aspects of the task is discussed. The overall philosophy used in the decomposition system is examined, focusing on the principles of detection used. The organization of the software used by the system is described.<>
Keywords :
artificial intelligence; bioelectric potentials; biological techniques and instruments; biology computing; computerised signal processing; muscle; myoelectric signals decomposition; software organisation; symbolic processing methods; Electrodes; Error analysis; Fires; Information resources; Muscles; Needles; Recruitment; Shape measurement; Signal processing;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
