Lower limb semg denoising using daubechies
Author
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 23, Issue 2 (30 Jun. 2023), pp.145-156, 12 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2023-06-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
This paper represents a different way of denoising lower limb surface electromyography sEMG signals using daubechies wavelets much noise will be needed to remove as we can from this signal for it to function properly.
the previous works couldn’t accurately determine the most suitable method to be used for lower limbs.
this paper uses different thresholding approaches to calculate the highest value of SNR to identify the best denoising method.
and a complete detailed survey of denoising techniques for reducing noise from surface electromyography signals is provided.
this research has important implications for the practical application of lower limb EMG.
this paper aimed to ascertain what are the most optimal parameters to be applied while using wavelet transform (daubechies wavelets) to achieve the highest possible SNR in sEMG of the lower limb.
the sample that was used came from 11 healthy subjects doing 3 different movements, using 4 electrodes to extract the signal.
to identify the best denoising is calculated using different thresholding types, daubechies levels, and noise structures.
the result from this experiment indicates that the hard-rigorous sure threshold and scaled white noise provide the highest SNR in every signal tested but the daubechies level differs from one signal to another.
American Psychological Association (APA)
Karim, Ghadah. 2023. Lower limb semg denoising using daubechies. International Journal of Intelligent Computing and Information Sciences،Vol. 23, no. 2, pp.145-156.
https://search.emarefa.net/detail/BIM-1486291
Modern Language Association (MLA)
Karim, Ghadah. Lower limb semg denoising using daubechies. International Journal of Intelligent Computing and Information Sciences Vol. 23, no. 2 (Jun. 2023), pp.145-156.
https://search.emarefa.net/detail/BIM-1486291
American Medical Association (AMA)
Karim, Ghadah. Lower limb semg denoising using daubechies. International Journal of Intelligent Computing and Information Sciences. 2023. Vol. 23, no. 2, pp.145-156.
https://search.emarefa.net/detail/BIM-1486291
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 154-156
Record ID
BIM-1486291