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      Effects of acquisition device, sampling rate, and record length on kinocardiography during position-induced haemodynamic changes

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          Abstract

          Background

          Kinocardiography (KCG) is a promising new technique used to monitor cardiac mechanical function remotely. KCG is based on ballistocardiography (BCG) and seismocardiography (SCG), and measures 12 degrees-of-freedom (DOF) of body motion produced by myocardial contraction and blood flow through the cardiac chambers and major vessels.

          Results

          The integral of kinetic energy ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ iK$$\end{document} ) obtained from the linear and rotational SCG/BCG signals was computed over each dimension over the cardiac cycle, and used as a marker of cardiac mechanical function. We tested the hypotheses that KCG metrics can be acquired using different sensors, and at 50 Hz. We also tested the effect of record length on the ensemble average on which the metrics were computed. Twelve healthy males were tested in the supine, head-down tilt, and head-up tilt positions to expand the haemodynamic states on which the validation was performed.

          Conclusions

          KCG metrics computed on 50 Hz and 1 kHz SCG/BCG signals were very similar. Most of the metrics were highly similar when computed on different sensors, and with less than 5% of error when computed on record length longer than 60 s. These results suggest that KCG may be a robust and non-invasive method to monitor cardiac inotropic activity.

          Trial registration Clinicaltrials.gov, NCT03107351. Registered 11 April 2017, https://clinicaltrials.gov/ct2/show/NCT03107351?term=NCT03107351&draw=2&rank=1.

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          Most cited references41

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          Understanding Bland Altman analysis

          In a contemporary clinical laboratory it is very common to have to assess the agreement between two quantitative methods of measurement. The correct statistical approach to assess this degree of agreement is not obvious. Correlation and regression studies are frequently proposed. However, correlation studies the relationship between one variable and another, not the differences, and it is not recommended as a method for assessing the comparability between methods.
In 1983 Altman and Bland (B&A) proposed an alternative analysis, based on the quantification of the agreement between two quantitative measurements by studying the mean difference and constructing limits of agreement.
The B&A plot analysis is a simple way to evaluate a bias between the mean differences, and to estimate an agreement interval, within which 95% of the differences of the second method, compared to the first one, fall. Data can be analyzed both as unit differences plot and as percentage differences plot.
The B&A plot method only defines the intervals of agreements, it does not say whether those limits are acceptable or not. Acceptable limits must be defined a priori, based on clinical necessity, biological considerations or other goals.
The aim of this article is to provide guidance on the use and interpretation of Bland Altman analysis in method comparison studies.
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            A real-time QRS detection algorithm.

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              • Article: not found

              Generalized linear mixed models a pseudo-likelihood approach

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                Author and article information

                Contributors
                amin.hossein@ulb.ac.be
                Journal
                Biomed Eng Online
                Biomed Eng Online
                BioMedical Engineering OnLine
                BioMed Central (London )
                1475-925X
                6 January 2021
                6 January 2021
                2021
                : 20
                : 3
                Affiliations
                [1 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, LPHYS, Université Libre de Bruxelles, ; Brussels, Belgium
                [2 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Department of Cardiology, Erasme Hospital, , Université Libre de Bruxelles, ; Brussels, Belgium
                [3 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, BEAMS, Université Libre de Bruxelles, ; Brussels, Belgium
                Author information
                http://orcid.org/0000-0002-5122-9927
                Article
                837
                10.1186/s12938-020-00837-5
                7788803
                33407507
                533083bc-5776-4c1d-9147-0f6f59fd69c7
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 September 2020
                : 10 December 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003134, Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture;
                Award ID: FC 29801
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002749, Belgian Federal Science Policy Office;
                Award ID: PRODEX PEA 4000110826
                Award ID: PRODEX PEA 4000110826
                Award ID: PRODEX PEA 4000110826
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Biomedical engineering
                cardiac contractility,cardiac kinetic energy,cardiac strength,ballistocardiography,seismocardiography,kinocardiography,wearable monitoring,head down tilt,head up tilt

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