Authors:
Abdul Khaleq A. Al-naqeeb
1
;
Ayad A. Ibrahim
2
and
Qussay S. Tawfeeq
2
Affiliations:
1
College of Medical and Health Technology, Iraq
;
2
University of Technology, Iraq
Keyword(s):
Electromyography (EMG), Interpolation, Nonlinearities Interpolation, Fatigue, Power Spectral Density, Robust Filtering Method.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
One of the main problems that arise in many scientific engineering applications is the estimation of the missing data in a sequence of a series. A new technique is proposed in this work to handle such a problem. An implementation of a feedback for missing process in the surface of electromyography signal has been carried out by developing a robust forecasting formula on the basis of nonlinearities interpolation technique (NIT). Extracted electromyography signal from a Biceps Brachii muscle of one subject aged 35 years has been studied when muscle on tension under normal and fatigue conditions. A pair of gold-coated stainless steel bipolar electrodes have been used for the detection of the electromyography. The damaged signals are derived from the actual signals, with the amount of damage of about 80%. With a processing time of 50 msec, results show a conformity of the interpolated signals to those of the real electromyography signals, with a high degree of accuracy among the values o
f interpolated and of the real signals.
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