Title :
Improved resolution of pulse superpositions in a knowledge-based system EMG decomposition
Author :
Nawab, S. Hamid ; Wotiz, Robert ; De Luca, Carlo J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA
Abstract :
We have improved the accuracy (sensitivity x specificity) of a knowledge-based system from 90% to well above 95% in decomposing complex EMG 3-channel data into its constituent motor unit action potential (MUAP) trains. The key to achieving this improvement is our use of a probabilistic framework for resolving pulse superpositions through the application of utility maximization at the suprasegmental level.
Keywords :
electromyography; knowledge based systems; medical signal processing; signal resolution; EMG decomposition; improved pulse superposition resolution; knowledge-based system; motor unit action potential; suprasegmental level; Artificial intelligence; Electrical capacitance tomography; Electrodes; Electromyography; Fires; Knowledge based systems; Pulse measurements; Pulse shaping methods; Shape; Time measurement; Decomposition; EMG; IPUS; multi-channel; utility maximization;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403092
