A New Method to Reduce Motion Artifact in Electrocardiogram Based on an Innovative Skin-Electrode Impedance Model

Autor: Yajian Gan, Wenceslas Rahajandraibe, Remy Vauche, Blaise Ravelo, Nominoë Lorriere, Rachid Bouchakour
Přispěvatelé: Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Nanjing University of Information Science and Technology (NUIST)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Biomedical Signal Processing and Control
Biomedical Signal Processing and Control, 2022, 76, pp.103640. ⟨10.1016/j.bspc.2022.103640⟩
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2022.103640⟩
Popis: International audience; The electrocardiogram (ECG) is sensitive to human body motions when it is measured with dry metal electrodes. A common hypothesis in previous literature dealing with these subjects postulate that this is due to the skin-electrode impedance variability. This paper aims to verify this hypothesis by investigating the origin of the noise in the ECG signal and finding suitable solutions to reduce this disturbance. For this reason, experiments are proposed here to explore the relationship between the skin-electrode impedance and the ECG for several motions. Results demonstrate that the noise due to human body motions in ECG equally comes from the electrochemical equilibrium break of the reduction-oxidation reaction at the skin-electrode interface. Moreover, it has been shown that motions lead to sweat thickness variations and equally to skin-electrodes capacitance variations. To model this phenomenon, an electrical model based on a variable capacitor is introduced. Finally, a significant noise reduction solution based on the monitoring of this capacitor is proposed.
Databáze: OpenAIRE
Externí odkaz: