Monitoring and Identification of Sepsis Development through a Composite Measure of Heart Rate Variability
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  • {"files"=>["https://ndownloader.figshare.com/files/574681"], "description"=>"<p>Block diagram showing how to create the composite measure of variability and the likelihood of developing sepsis. The time window [<b>0</b>,<b><i>t</i></b>] is increased at every iteration of 2.5 minutes. This allows to reproduce a monitoring situation where new R-R intervals are continuously analyzed. Having the variability up to at a certain time <b><i>t</i></b>, we can compute the composite, and from the composite the probability of developing sepsis.</p>", "links"=>[], "tags"=>["immunology", "biotechnology", "Critical care and emergency medicine", "oncology"], "article_id"=>245174, "categories"=>["Cancer", "Biotechnology", "Medicine", "Immunology"], "users"=>["Andrea Bravi", "Geoffrey Green", "André Longtin", "Andrew J. E. Seely"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0045666.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Signal_processing_diagram_/245174", "title"=>"Signal processing diagram.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-09-19 01:26:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/574776"], "description"=>"<p>In red are displayed the results of the composite; for comparison, in black are displayed the results of the detrended fluctuation analysis area under the curve, after admission condition normalization. The continuous lines represent the average value of the time series across the population, and the dashed lines represent plus or minus the standard error of the mean. The two vertical dotted lines highlight when, on average, the composite variability started to drop. Before averaging, for each of the 14 subjects developing sepsis the time series of either the composite or the detrended fluctuation analysis were aligned to the time of administration of antibiotics (t = 0). The picture shows the higher sensitivity of the composite to sepsis development, respect to the sensitivity of a single HRV measure.</p>", "links"=>[], "tags"=>["composite"], "article_id"=>245272, "categories"=>["Cancer", "Biotechnology", "Medicine", "Immunology"], "users"=>["Andrea Bravi", "Geoffrey Green", "André Longtin", "Andrew J. E. Seely"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0045666.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Average_composite_measure_of_variability_/245272", "title"=>"Average composite measure of variability.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-09-19 01:27:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/574866"], "description"=>"<p>This set of double graphs show the composite measure of variability (blue solid line) and the probability of developing sepsis (green dotted line) at a given time, for each subject. As reported for the plot of subject 1, the x-axis is the time with respect to the administration of antibiotics (t = 0).</p>", "links"=>[], "tags"=>["immunology", "biotechnology", "Critical care and emergency medicine", "oncology"], "article_id"=>245358, "categories"=>["Cancer", "Biotechnology", "Medicine", "Immunology"], "users"=>["Andrea Bravi", "Geoffrey Green", "André Longtin", "Andrew J. E. Seely"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0045666.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Probability_of_development_of_sepsis_/245358", "title"=>"Probability of development of sepsis.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-09-19 01:29:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/574986"], "description"=>"<p>Median value of detection 64.7 hours in advance, with a transition time from probability zero to probability higher than 0.99 of 3.3 hours (median value).</p>", "links"=>[], "tags"=>["sepsis", "composite"], "article_id"=>245488, "categories"=>["Cancer", "Biotechnology", "Medicine", "Immunology"], "users"=>["Andrea Bravi", "Geoffrey Green", "André Longtin", "Andrew J. E. Seely"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0045666.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Detection_of_sepsis_development_through_composite_variability_/245488", "title"=>"Detection of sepsis development through composite variability.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-19 01:31:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/575011"], "description"=>"<p>For further details about these measures refer to <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045666#pone.0045666-Bravi1\" target=\"_blank\">[10]</a>. The specific parameters used to compute the measures are available upon request.</p>", "links"=>[], "tags"=>["measures"], "article_id"=>245511, "categories"=>["Cancer", "Biotechnology", "Medicine", "Immunology"], "users"=>["Andrea Bravi", "Geoffrey Green", "André Longtin", "Andrew J. E. Seely"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0045666.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Selected_measures_of_variability_/245511", "title"=>"Selected measures of variability.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-19 01:31:51"}

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