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

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Biyomedikal Mühendisliği (Diğer) , Devreler ve Sistemler , Elektronik , Elektronik Algılayıcılar

Bölüm

Araştırma Makalesi

Yazarlar

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

Serkan Özbay
0000-0001-5973-8243
Türkiye

Yayımlanma Tarihi

20 Nisan 2026

Gönderilme Tarihi

2 Eylül 2025

Kabul Tarihi

3 Mart 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 34 Sayı: 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. ESOGÜ Müh Mim Fak Derg. 2026;34(1):2098-2112. doi:10.31796/ogummf.1773406

Chicago

Ceylan, Cennet, ve 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 (01 Nisan 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 ve S. Özbay, “An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application”, ESOGÜ Müh Mim Fak Derg, c. 34, sy 1, ss. 2098–2112, Nis. 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 (01 Nisan 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. ESOGÜ Müh Mim Fak Derg. 2026;34:2098–2112.

MLA

Ceylan, Cennet, ve Serkan Özbay. “An Efficient Noise Removal on sEMG Signals: Wearable Textile- Based Electrodes Application”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, c. 34, sy 1, Nisan 2026, ss. 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. ESOGÜ Müh Mim Fak Derg. 01 Nisan 2026;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

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster