Toward Online Removal of Cardiac Interference From Trunk Electromyography by Morphological Modeling of the Electrocardiography

Autor: Runwei Lin, Yichao Wu, Zuyu Du, Kaichen Wang, Yang Yao, Lin Xu

Publikováno v: IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-9 (2022)

Trunk electromyography (EMG) has been widely used in many biomedical applications, which is usually contaminated by electrocardiography (ECG) interference. Several methods have been proposed for ECG removal from trunk EMG. However, most of them are e

Externí odkaz: https://doaj.org/article/63fa8e4c9f5840b3ba5ad832a44d3194

Singular Value Decomposition for Removal of Cardiac Interference from Trunk Electromyogram

Autor: Elisabetta Peri, Lin Xu, Christian Ciccarelli, Nele L. Vandenbussche, Hongji Xu, Xi Long, Sebastiaan Overeem, Johannes P. van Dijk, Massimo Mischi

Publikováno v: Sensors, Vol 21, Iss 2, p 573 (2021)

A new algorithm based on singular value decomposition (SVD) to remove cardiac contamination from trunk electromyography (EMG) is proposed. Its performance is compared to currently available algorithms at different signal-to-noise ratios (SNRs). The a

Externí odkaz: https://doaj.org/article/e0b9b85994724ac29727787a71ef7c35

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Singular Value Decomposition for Removal of Cardiac Interference from Trunk Electromyogram

Autor: Christian Ciccarelli, Lin Xu, Massimo Mischi, Hongji Xu, Sebastiaan Overeem, Elisabetta Peri, Johannes P. van Dijk, Nele Vandenbussche, Xi Long

Publikováno v: Sensors, Vol 21, Iss 573, p 573 (2021)
Sensors, 21(2):573. Multidisciplinary Digital Publishing Institute (MDPI)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 2

A new algorithm based on singular value decomposition (SVD) to remove cardiac contamination from trunk electromyography (EMG) is proposed. Its performance is compared to currently available algorithms at different signal-to-noise ratios (SNRs). The a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f50170e6b8b38dc4000eef58062445e
https://doi.org/10.3390/s21020573

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