TY - GEN
T1 - Motion noise cancellation in seismocardiographic monitoring of moving subjects
AU - Yang, Chenxi
AU - Tavassolian, Negar
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/4
Y1 - 2015/12/4
N2 - This paper presents a novel method of extracting seismocardiographic data from moving adult subjects using chest-worn wireless MEMS accelerometers. A DSP system including a normalized LMS adaptive filter is designed and tested in MATLAB. Data results from 11 subjects indicate a detection rate of 97.33% and a high correlation between SCG and ECG signals simultaneously acquired. The results suggest that adaptive filtering could be a relevant technique for this purpose.
AB - This paper presents a novel method of extracting seismocardiographic data from moving adult subjects using chest-worn wireless MEMS accelerometers. A DSP system including a normalized LMS adaptive filter is designed and tested in MATLAB. Data results from 11 subjects indicate a detection rate of 97.33% and a high correlation between SCG and ECG signals simultaneously acquired. The results suggest that adaptive filtering could be a relevant technique for this purpose.
KW - Adaptive filtering
KW - LMS
KW - MEMS accelerometer
KW - motion cancellation
KW - seismocardiography (SCG)
UR - http://www.scopus.com/inward/record.url?scp=84962704734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962704734&partnerID=8YFLogxK
U2 - 10.1109/BioCAS.2015.7348361
DO - 10.1109/BioCAS.2015.7348361
M3 - Conference contribution
AN - SCOPUS:84962704734
T3 - IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
BT - IEEE Biomedical Circuits and Systems Conference
T2 - 11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Y2 - 22 October 2015 through 24 October 2015
ER -