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

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

69

Lastpage

71

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2004.1403092

Filename

1403092