Motion artifact cancellation to obtain heart sounds from a single chest-worn accelerometer

This paper presents a method of extracting primary heart sound signals from chest-worn accelerometer data in the presence of motion artifacts. The proposed method outperforms noise removal techniques such as wavelet denoising and adaptive filtering. Results from six subjects show a primary heart sig...

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Bibliographic Details
Published in2010 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 590 - 593
Main Authors Pandia, K, Ravindran, S, Cole, R, Kovacs, G, Giovangrandi, L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2010
Subjects
Acceleration
Accelerometers
Electrocardiography
Filters
Frequency
Heart rate
heart-rate detection
heart-sound signal detection
Least squares approximation
motion artifact removal
Noise reduction
Polynomials
Smoothing methods
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Summary:This paper presents a method of extracting primary heart sound signals from chest-worn accelerometer data in the presence of motion artifacts. The proposed method outperforms noise removal techniques such as wavelet denoising and adaptive filtering. Results from six subjects show a primary heart signal detection rate of 99.36% with a false positive rate of 1.3%.
ISBN:9781424442959
1424442958
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5495553