An algorithm for the beat-to-beat assessment of cardiac mechanics during sleep on Earth and in microgravity from the seismocardiogram
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-15829-0.pdf
Reference20 articles.
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2. Di Rienzo, M., Meriggi, P., Vaini, E., Castiglioni, P. & Rizzo, F. 24h Seismocardiogram Monitoring In Ambulant Subjects. In: Proc Conf IEEE EMBS, San Diego, 2012, 5050-5053 (IEEE Press, 2012).
3. Di Rienzo, M. et al. Wearable seismocardiography: towards a beat-to-beat assessment of cardiac mechanics in ambulant subjects. Auton. Neurosci. 178, 50–59 (2013).
4. Giorgis, L. et al. Optimal algorithm switching for the estimation of systole period from cardiac microacceleration signals (SonR). IEEE Trans. Biomed. Eng. 59(11), 3009–15 (2012).
5. Khosrow-Khavar, F., Tavakolian, K., Blaber, A. & Menon, C. Automatic and Robust Delineation of the Fiducial Points of the Seismocardiogram Signal for Non-invasive Estimation of Cardiac Time Intervals. IEEE Trans. Biomed. Eng. Oct 12, (2016) [Epub ahead of print].
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