ArticleBMC cardiovascular disorders2020
Heat map visualization for electrocardiogram data analysis.
Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 24 citations in OpenAlex.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMost electrocardiogram (ECG) studies still take advantage of traditional statistical functions, and the results are mostly presented in tables, histograms, and curves. Few papers display ECG data by visual means. The aim of this study was to analyze and show data for electrocardiographic left ventricular hypertrophy (LVH) with ST-segment elevation (STE) by a heat map in order to explore the feasibility and clinical value of heat mapping for ECG data visualization.
methodsWe sequentially collected the electrocardiograms of inpatients in the First Affiliated Hospital of Shantou University Medical College from July 2015 to December 2015 in order to screen cases of LVH with STE. HemI 1.0 software was used to draw heat maps to display the STE of each lead of each collected ECG. Cluster analysis was carried out based on the heat map and the results were drawn as tree maps (pedigree maps) in the heat map.
resultsIn total, 60 cases of electrocardiographic LVH with STE were screened and analyzed. STE leads were mainly in the V
conclusionHeat maps and cluster analysis can be used to fully display every lead of each electrocardiogram and provide relatively comprehensive information.
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Registered trials
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