Using an Adaptive Filter to Remove ECG Motion Artifact Interference - Details

author：

Bai, L.-M. (Bai, L.-M..) ^[1] | Fan, M.-H. (Fan, M.-H..) ^[2] | Feng, C.-H. (Feng, C.-H..) ^[3] | Wang, L.-H. (Wang, L.-H..) ^[4]

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Abstract：

Motion　artifact　removal　is　one　of　the　most　important　issues　in　portable　ECG　(electrocardiogram)　monitoring.　Motion　artifacts　are　usually　accompanied　by　significant　baseline　drift.　Adaptive　filtering　has　been　used　to　filter　motion　artifacts　and　baseline　drift.　The　3-axis　acceleration　signal　is　selected　as　the　noise　reference　signal.　Results　show　that　motion　artifacts　and　baseline　drift　have　been　removed　in　filtered　ECG,　and　the　QRS　complex　of　the　filtered　ECG　has　clearly　appeared.　©　2018　IEEE.

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[ 1 ] [Bai, L.-M.]Department of Microelectronics, Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
[ 2 ] [Fan, M.-H.]Department of Microelectronics, Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
[ 3 ] [Feng, C.-H.]Department of Microelectronics, Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
[ 4 ] [Wang, L.-H.]Department of Microelectronics, Fuzhou University, College of Physics and Information Engineering, Fuzhou, China

Reprint 's Address：

[Wang, L.-H.]Department of Microelectronics, Fuzhou University, College of Physics and Information EngineeringChina

Email：

eetommy@fzu.edu.cn

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Source ：

2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

Year： 2018

Language： English

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WoS CC Cited Count： 0

SCOPUS Cited Count： 9

ESI Highly Cited Papers on the List： 0 Unfold All

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