Abstract
In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to determine the activity corridor that related with the motor unit to be examined in scanning EMG recordings. This method is comprised of wavelet transform based noise reduction and autocorrelation function based location detection. Number of 34 scanning EMG recordings was tested by using this method and the activity corridors were determined correctly.
Keywords
Motor unit
Concentric
Autocorrelation
Computer science
3d scanning
Noise (video)
Noise reduction
Wavelet
Speech recognition
Pattern recognition (psychology)
Acoustics
Artificial intelligence
Mathematics
Statistics
Medicine
Anatomy
Physics
Subject Areas
Muscle activation and electromyography studies
·Biomedical Engineering ·Physical Sciences
EEG and Brain-Computer Interfaces
·Cognitive Neuroscience ·Life Sciences
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Citations by Year
2015: 1
2017: 1
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