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Healthc Inform Res > Volume 6(4); 2000 > Article
Journal of Korean Society of Medical Informatics 2000;6(4):129-142.
DOI: https://doi.org/10.4258/jksmi.2000.6.4.129    Published online December 31, 2000.
Extraction of the Quantative Parameter for EMG Signal Analysis
Gye Rok Jeon, Sea Hoon Park, Soo Yung Ye, Hyun Yoon Ko
1Department of Biomedical Engineering, College of Medicine, Pusan National University, Korea.
2Department of Interdisciplinary program in Biomedical Engineering, Pusan, National University, Korea.
3Department of Rehabilitation, College of Medicine, National University, Korea.

In this paper, we studied a signal processing method which extracts each MUAP(motor unit action potential) from EMG(Electromyogram) interference pattern for clinical diagnostic purposes. First of all, differential digital filtering is selected for eliminating the spike components of the MUAP' s from the backgroud noise. And the algorithm identifies the spikes over the certanin threshold by template matching in frequency domain. After missing or false firing factor is cut off at the IPJ(inter pulse interval) histogram, we average the MUAP waveforms from the raw signal using the identified spikes as triggers, and finally, measure their amplitudes, durations, and numbers of phases. Specially, we introduce algorithm performed by template matching in the frequency domain. This algorithm performed as follows. A typical 3 second signal recorded from the biceps brachii muscle using a conventional needle electrode during a isometric contraction. And decomposed active MUAP' s decomposed from original EMG signal.


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