Analytical review of methods for recording and classifying movements based on electromyography

Зохиров, К., Бойкобилов, С., Темиров, М., Сатторов, М., Розибоев, Ф.

Рақамли технологияларнинг назарий ва амалий масалалари · 2025-yil

Annotatsiya

This paper provides a comprehensive overview of optimal methods and processes for recording, processing, and classifying electromyography (EMG) signals in the context of human movement rehabilitation. It begins by exploring advanced techniques for accurate and noise-free EMG signal acquisition, emphasizing the importance of electrode placement, signal amplification, and filtering strategies. The paper then delves into modern signal processing methods, such as feature extraction and dimensionality reduction, which enhance the interpretability of EMG data. Furthermore, the study highlights cutting-edge machine learning and deep learning approaches for classifying movements based on EMG signals, offering insights into their practical applications in rehabilitation systems.

Maqola ma’lumotlari
MualliflarЗохиров, К., Бойкобилов, С., Темиров, М., Сатторов, М., Розибоев, Ф.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2025-03-31
Jild8
Son1
Betlar175-182
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v8i1.246
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v8i1.246 · Maqolaning asl sahifasi

Kalit so‘zlar

электромиография, датчик, электрод, искусственный интеллект, набор данных, мышцы, неинвазивный, классификация, electromyography, sensor, electrode, artificial intelligence, data set, muscles, non-invasive, classification

Ilmiy soha

Texnika

Iqtibos keltirish

APAЗохиров, К., Бойкобилов, С., Темиров, М., Сатторов, М., & Розибоев, Ф. (2025). Analytical review of methods for recording and classifying movements based on electromyography. Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 175-182. https://doi.org/10.62132/ijdt.v8i1.246
GOST (OAK)Зохиров, К. va b. Analytical review of methods for recording and classifying movements based on electromyography // Рақамли технологияларнинг назарий ва амалий масалалари. – 2025. – T. 8, № 1. – P. 175-182. – DOI: 10.62132/ijdt.v8i1.246.
MLAЗохиров, К., Бойкобилов, С., Темиров, М., Сатторов, М., and Розибоев, Ф. “Analytical review of methods for recording and classifying movements based on electromyography.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 175-182, 2025. https://doi.org/10.62132/ijdt.v8i1.246
ChicagoЗохиров, К., Бойкобилов, С., Темиров, М., Сатторов, М., and Розибоев, Ф. “Analytical review of methods for recording and classifying movements based on electromyography.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 175-182 (2025). https://doi.org/10.62132/ijdt.v8i1.246
HarvardЗохиров, К., Бойкобилов, С., Темиров, М., Сатторов, М., and Розибоев, Ф (2025) ‘Analytical review of methods for recording and classifying movements based on electromyography’, Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 175-182. https://doi.org/10.62132/ijdt.v8i1.246
BibTeX
@article{article2025,
  title = {Analytical review of methods for recording and classifying movements based on electromyography},
  author = {Зохиров, К. and Бойкобилов, С. and Темиров, М. and Сатторов, М. and Розибоев, Ф.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2025},
  volume = {8},
  number = {1},
  pages = {175-182},
  doi = {10.62132/ijdt.v8i1.246},
  url = {https://doi.org/10.62132/ijdt.v8i1.246}
}

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