DocumentCode
3747069
Title
Accurate and consistent automatic seismocardiogram annotation without concurrent ECG
Author
Alexandre Laurin;Farzad Khosrow;Andrew Blaber;Kouhyar Tavakolian
Author_Institution
Simon Fraser University, Vancouver, Canada
fYear
2015
Firstpage
25
Lastpage
28
Abstract
Seismocardiography (SCG) is the measurement of vibrations in the sternum caused by the beating of the heart. Precise cardiac mechanical timings that can only be obtained from SCG are critically dependent on accurate identification offiducial points. So far, SCG annotation has relied on concurrent ECG measurements. We have designed an algorithm capable of annotating SCG without the use any other concurrent measurement. We subjected 18 participants to graded lower body negative pressure. We collected ECG and SCG, obtained R peaksfrom the former, and annotated the latter by hand, using these identified peaks. We also annotated the SCG automatically. We compared the isovolumic moment timings obtained by hand to those obtained using our algorithm. Mean accuracies for increasing levels of negative pressure were 97.61 ± 3.39%, 93.32 ± 5.33%, 78.28 ± 14.29%, 58.68 ± 17.58%, and 63.36 ±14.23%. We also compared LF/HF ratios obtained from isovolumic moments to those obtained from R peaks. For indices obtainedfrom automatic annotations, the mean differences were 0.16±0.19, -0.10±0.58, 0.89±0.85, -1.22±0.62, and 2.30 ± 1.10 for increasing levels of negative pressure.
Keywords
"Heart rate variability","Timing","Electrocardiography","Biomedical monitoring","Mercury (metals)","Seismic measurements"
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2015
ISSN
2325-8861
Print_ISBN
978-1-5090-0685-4
Electronic_ISBN
2325-887X
Type
conf
DOI
10.1109/CIC.2015.7408577
Filename
7408577
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