Motion Artifact Cancellation of Seismocardiographic Recording From Moving Subjects
This paper presents a novel method of extracting seismocardiographic (SCG) data from moving adult subjects recorded via micro-electromechanical (MEMS) accelerometers. A digital signal processing system based on the normalized least mean square (NLMS) adaptive filter design is developed in MATLAB to...
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Published in | IEEE sensors journal Vol. 16; no. 14; pp. 5702 - 5708 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
15.07.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1530-437X 1558-1748 |
DOI | 10.1109/JSEN.2016.2573269 |
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Abstract | This paper presents a novel method of extracting seismocardiographic (SCG) data from moving adult subjects recorded via micro-electromechanical (MEMS) accelerometers. A digital signal processing system based on the normalized least mean square (NLMS) adaptive filter design is developed in MATLAB to process the signals collected from the MEMS sensor node. Standardized experiments were performed on 40 moving adult subjects. False-positives were ruled out for a more precise detection rate. The research on sliding ensemble average was also conducted to find the minimum required window size. The results indicate a detection rate of 96% and a sliding window size of 32 intervals for robust continuous monitoring, showing that adaptive filtering could be a promising technique for the cancellation of motion noise artifacts from SCG recordings in moving subjects. |
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AbstractList | This paper presents a novel method of extracting seismocardiographic (SCG) data from moving adult subjects recorded via micro-electromechanical (MEMS) accelerometers. A digital signal processing system based on the normalized least mean square (NLMS) adaptive filter design is developed in MATLAB to process the signals collected from the MEMS sensor node. Standardized experiments were performed on 40 moving adult subjects. False-positives were ruled out for a more precise detection rate. The research on sliding ensemble average was also conducted to find the minimum required window size. The results indicate a detection rate of 96% and a sliding window size of 32 intervals for robust continuous monitoring, showing that adaptive filtering could be a promising technique for the cancellation of motion noise artifacts from SCG recordings in moving subjects. |
Author | Tavassolian, Negar Yang, Chenxi |
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Cites_doi | 10.1109/IEMBS.2011.6091058 10.1016/0002-9149(93)90508-A 10.1109/JBHI.2014.2361732 10.1109/TBME.2011.2156795 10.2165/00007256-199826050-00004 10.2174/1874387001105010026 10.1109/BioCAS.2015.7348361 10.1109/78.236504 10.1109/ICASSP.2010.5495553 10.1109/PROC.1975.10036 10.1023/A:1006364518204 10.4018/978-1-4666-4165-5.ch017 10.1016/0002-9149(91)90744-6 10.1378/chest.100.4.991 10.1109/EMBC.2013.6611170 10.1109/MeMeA.2015.7145210 |
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Keywords | wearable sensor network Adaptive filtering MEMS accelerometer seismocardiography (SCG) LMS filtering motion artifact |
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References | ref13 ref23 di rienzo (ref12) 2012 ref14 (ref15) 2016 tavakolian (ref4) 2010 ref11 ref22 ref10 ref2 homana (ref20) 2011; 52 ref1 ref17 parker (ref21) 0 ref19 (ref16) 0 ref8 ref7 haykin (ref18) 2002 ref9 ref3 ref6 ref5 |
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SubjectTerms | Accelerometers Adaptive filtering Adaptive filters Adults Cancellation Electrocardiography LMS filtering Matlab MEMS accelerometer Micromechanical devices Motion artifact Motion artifacts Recording Seismocardiography (SCG) Sensors Sliding Wearable sensor network |
Title | Motion Artifact Cancellation of Seismocardiographic Recording From Moving Subjects |
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