title: Unlock the information in your data: Software to find, classify, and report on data patterns and arrhythmias.
abstract: BACKGROUND
  Safety studies generate a significant volume of waveform and calculated data. The verification of calculated data and the process of searching through these data for patterns of interest (including arrhythmias) is time intensive. Data Insights™ has been developed for the Ponemah™ software platform to provide efficient verification and search capabilities.
  
  
  METHODS
  Searches may be constructed using calculated and pattern matching data available in Ponemah. Searches are composed of one or more search clauses that may be combined using Boolean operators (AND, OR). Each search clause is a Boolean expression composed of inputs and functions. Data Insights includes a number of predefined species-specific searches for arrhythmias that were qualified for canine, non-human primate and minipigs. Qualification compared arrhythmias identified using Data Insights against a board-certified veterinary cardiologist hand-scored reference datasets.
  
  
  RESULTS
  In seven out of eight arrhythmia types, arrhythmia incidences identified by Data Insights were congruent to those identified by hand-scoring. Premature Atrial Contractions (PACs) accounted for the only discrepancy in hand scored data-segments, although all overt PACs identified by the veterinary cardiologist were also identified by Data Insights. Unscored atrio-ventricular blocks accounted for the remaining differences.
  
  
  CONCLUSIONS
  Data Insights may be used to support different applications, as searches may be created for any physiologic signal type. Its interactive dialog permits rapid review of search results and a dynamic method for handling outliers, signal noise, and false positives. Data Insights provides an efficient method to locate, present, and report on data patterns and anomalies for accurate, consistent results.
authors.affiliation: Data Sciences International, 119 14th St NW, Suite 100, St. Paul, MN 55112, United States.
authors.forename: Anil C
authors.initials: AC
authors.lastname: Mehendale
authors.affiliation: Data Sciences International, 119 14th St NW, Suite 100, St. Paul, MN 55112, United States.
authors.forename: Jennifer M
authors.initials: JM
authors.lastname: Doyle
authors.affiliation: Data Sciences International, 119 14th St NW, Suite 100, St. Paul, MN 55112, United States.
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Kolin
authors.affiliation: Data Sciences International, 119 14th St NW, Suite 100, St. Paul, MN 55112, United States.
authors.forename: John P
authors.initials: JP
authors.lastname: Kroehle
mesh_terms: D000818:Animals; D001145:Arrhythmias, Cardiac / Q000139:chemically induced* / Q000503:physiopathology*; D018880:Atrial Premature Complexes / Q000139:chemically induced / Q000503:physiopathology; D054537:Atrioventricular Block / Q000139:chemically induced / Q000503:physiopathology; D003627:Data Interpretation, Statistical; D004285:Dogs; D004562:Electrocardiography / Q000187:drug effects; D005189:False Positive Reactions; D011323:Primates; D012449:Safety; D012984:Software; D013552:Swine; D013556:Swine, Miniature; D013686:Telemetry
keywords: Arrhythmia; Automated analysis; Cardiovascular safety; ECG; Jacketed Telemetry; Methods; Nonclinical; Pattern recognition; Telemetry; Toxicology