An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application

Cennet Ceylan; Serkan Özbay

doi:10.31796/ogummf.1773406

TR EN

sEMG Sinyallerinde Etkili Bir Gürültü Giderme: Giyilebilir Tekstil Tabanlı Elektrot Uygulaması

Öz

Tekstil tabanlı sensörlerin kullanımı son yıllarda önemli ölçüde artmış ve giyilebilir tekstil tabanlı sensörler, biyo-sinyal algılama için üstün arayüzler haline gelmiştir. Kasların elektriksel aktivitesini kaydetmek için yaygın olarak kullanılan bir yöntem olan yüzey elektromiyografisi (sEMG), tekstil tabanlı elektrotlarla kullanılmıştır. Ancak, sEMG sinyalleri çeşitli gürültüler, girişimler ve artefaktlar nedeniyle bozulabilir. Bu çalışmada, tekstil tabanlı elektrotlardan elde edilen sEMG sinyalleri üzerinde etkili bir gürültü azaltma algoritması geliştirilmiştir. Algoritma, dalgacık eşikleme ve dalgacık sinir ağını içeren yeni bir hibrit şema sunmaktadır. Önerilen algoritmanın performansı gerçek verilerle analiz edilmiş ve mevcut algoritmalarla karşılaştırılmıştır. Önerilen algoritmanın gürültü azaltmada dikkate değer bir performans sağladığı ve önerilen algoritma ile elde edilen sonuçların, mevcut en son algoritmalarla elde edilen sonuçlardan daha üstün olduğu gösterilmiştir. Önerilen algoritmanın optimum performans sonuçları, tekstil bazlı elektrotlar kullanılarak elde edilen sEMG sinyalleriyle 0,0014'lük bir ortalama kare hata (MSE), 0,0374'lük bir kök kare hata (RMSE) ve 0,97'lik bir korelasyon katsayısı (r) değeri olarak gözlemlenmiştir. Önerilen algoritmanın, giyilebilir uygulamalar için sEMG sinyallerinin kalitesini önemli ölçüde iyileştirdiği ve bu nedenle giyilebilir teknolojilerin sinyal ediniminde potansiyel bir aday olduğu düşünülmektedir.

Anahtar Kelimeler

Gürültü azaltma , yüzey elektromiyografisi , tekstil tabanlı sensör , dalgacık sinir ağı , dalgacık eşikleme

An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application

Abstract

The use of textile-based sensors has increased significantly in recent years, and wearable textile-based sensors have become superior interfaces for bio-signal sensing. Surface electromyography (sEMG), a widely used method for recording the electrical activity of muscles, has been used with textile-based electrodes. However, sEMG signals can be corrupted by various noises, interference and artifacts. In this study, an effective noise reduction algorithm has been developed on sEMG signals obtained from textile-based electrodes. The algorithm introduces a novel hybrid scheme which includes wavelet thresholding to wavelet neural network. The performance of the proposed algorithm is analyzed with real data and compared with existing algorithms. It is shown that the proposed algorithm achieves remarkable performance in noise reduction and the results obtained with the proposed algorithm are superior to the results obtained with the state-of-the-art existing algorithms. The optimum performance results of the proposed algorithm are observed as a mean square error (MSE) value of 0.0014, a root means square error (RMSE) of 0.0374, and a correlation coefficient (r) value of 0.97 with sEMG signals obtained by textile-based electrodes. It is seen that the proposed algorithm significantly improves the quality of sEMG signals for wearable applications thus it is believed to be a potential candidate on the signal acquisition of wearable technologies.

Keywords

Noise reduction , surface electromyography , textile-based sensor , wavelet neural network , wavelet thresholding

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Details

Primary Language

English

Subjects

Biomedical Engineering (Other) , Circuits and Systems , Electronics , Electronic Sensors

Journal Section

Research Article

Authors

Cennet Ceylan ^*
0000-0003-2301-7078
Türkiye

Serkan Özbay
0000-0001-5973-8243
Türkiye

Publication Date

April 20, 2026

Submission Date

September 2, 2025

Acceptance Date

March 3, 2026

Published in Issue

Year 2026 Volume: 34 Number: 1

DOI

https://doi.org/10.31796/ogummf.1773406

IZ

https://izlik.org/JA38TU45YA

APA

Ceylan, C., & Özbay, S. (2026). An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi, 34(1), 2098-2112. https://doi.org/10.31796/ogummf.1773406

AMA

1.Ceylan C, Özbay S. An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi. 2026;34(1):2098-2112. doi:10.31796/ogummf.1773406

Chicago

Ceylan, Cennet, and Serkan Özbay. 2026. “An Efficient Noise Removal on SEMG Signals: Wearable Textile- Based Electrodes Application”. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi 34 (1): 2098-2112. https://doi.org/10.31796/ogummf.1773406.

EndNote

Ceylan C, Özbay S (April 1, 2026) An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 34 1 2098–2112.

IEEE

[1]C. Ceylan and S. Özbay, “An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application”, Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, vol. 34, no. 1, pp. 2098–2112, Apr. 2026, doi: 10.31796/ogummf.1773406.

ISNAD

Ceylan, Cennet - Özbay, Serkan. “An Efficient Noise Removal on SEMG Signals: Wearable Textile- Based Electrodes Application”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 34/1 (April 1, 2026): 2098-2112. https://doi.org/10.31796/ogummf.1773406.

JAMA

1.Ceylan C, Özbay S. An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi. 2026;34:2098–2112.

MLA

Ceylan, Cennet, and Serkan Özbay. “An Efficient Noise Removal on SEMG Signals: Wearable Textile- Based Electrodes Application”. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi, vol. 34, no. 1, Apr. 2026, pp. 2098-12, doi:10.31796/ogummf.1773406.

Vancouver

1.Cennet Ceylan, Serkan Özbay. An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi. 2026 Apr. 1;34(1):2098-112. doi:10.31796/ogummf.1773406

sEMG Sinyallerinde Etkili Bir Gürültü Giderme: Giyilebilir Tekstil Tabanlı Elektrot Uygulaması

Öz

Anahtar Kelimeler

An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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