Comparison and evaluation of LMS-derived algorithms applied on ECG signals contaminated with motion artifact during physical activities

• Autorzy: Galdos Jarelh , Lopez Nikolai , Medina Angie , Huarca Jorge , Rendulich Jorge , Sulla Erasmo

Identyfikatory

DOI

10.35784/acs-2024-10

• Języki publikacji: EN

Abstrakty

EN

The acquisition of ECG signals offers physicians and specialists a very important tool in the diagnosis of cardiovascular diseases. However, very often these signals are affected by noise from various sources, including noise generated by movement during physical activity. This type of noise is known as Motion Artifact (MA) which changes the waveform of the signal, leading to erroneous readings. The elimination of this noise is performed by different filtering techniques, where the adaptive filtering using the LMS (least mean squares) algorithm stands out. The objective of this article is to determine which algorithms best deal with motion artifacts, taking into account the use of instruments or wearable equipment, in different conditions of physical activity. A comparison between different algorithms derived from LMS (NLMS, PNLMS and IPNLM) used in adaptive filtering is carried out using indicators such as: Pearson's Correlation Coefficient, Signal to Noise Ratio (SNR) and Mean Squared Error (MSE) as metrics to evaluate them. For this purpose, the mHealth database was used, which contains ECG signals taken during moderate to medium intensity physical activities. The results show that filtering by IPNLMS as well as PNLMS offers an improvement both visually and in terms of SNR, Pearson, and MSE indicators.

Słowa kluczowe

EN

ECG signals; motion artifacts; LMS algorithm; NLMS; PNLMS; IPNLMS; wearable devices; biomedical signals

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2024
• Tom: Vol. 20, no 1
• Strony: 157--172
• Opis fizyczny: Bibliogr. 49 poz., fig., tab.

Twórcy

autor

Galdos Jarelh

• Universidad Nacional de San Agustín de Arequipa, School of Production and Services, Department of Electronic Engineering, Peru

• https://orcid.org/0000-0001-6591-1866

autor

Lopez Nikolai

• Universidad Nacional de San Agustín de Arequipa, School of Production and Services, Department of Electronic Engineering, Peru

• https://orcid.org/0000-0002-5748-0717

autor

Medina Angie

• Universidad Nacional de San Agustín de Arequipa, School of Production and Services, Department of Electronic Engineering, Peru

• https://orcid.org/0000-0003-1046-7299

autor

Huarca Jorge

• Universidad Nacional de San Agustín de Arequipa, School of Production and Services, Department of Electronic Engineering, Peru

• https://orcid.org/0000-0001-6300-5122

autor

Rendulich Jorge

• Universidad Nacional de San Agustín de Arequipa, School of Production and Services, Department of Electronic Engineering, Peru

• https://orcid.org/0000-0003-1302-547X

autor

Sulla Erasmo

• Universidad Nacional de San Agustín de Arequipa, School of Production and Services, Department of Electronic Engineering, Peru

• https://orcid.org/0000-0002-1223-1223

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