Computer Analysis of Electrocardiographic Measurements

Rikli, Arthur E.; Tolles, Walter E.; Steinberg, Charlotte; Carbery, William J.; Freiman, Alvin H.; Abraham, Sidney; Cáceres, Cesar A.

doi:10.1161/01.cir.24.3.643

Cited by 51 publications

(13 citation statements)

References 4 publications

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“…The potential usefulness of computer data analysis as a diagnostic aid is illustrated in another electrocardiographic project. 4 The study was initiated to explore the validity of the use of electrocardiographic measurements alone, using computer statistical analysis, to distinguish clinically identifiable heart disease from normal states. The study considered use of limited numbers of clinically pertinent measurements of amplitude and duration of electrocardiographic wave forms and intervals for statistical analysis and the possibility of separating disease groups by a statistical technic.…”

Section: Discussionmentioning

confidence: 99%

Computer Use in Health and Medical Research—Role for Computers in Heart Disease Control

Cáceres¹,

Abraham²

1963

Am J Public Health Nations Health

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Section: Discussionmentioning

confidence: 99%

Computer Use in Health and Medical Research—Role for Computers in Heart Disease Control

Cáceres¹,

Abraham²

1963

Am J Public Health Nations Health

Self Cite

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“…Indeed, factor analysis, one of the first multivariate techniques, was developed to tackle the problem of complexity in human cognitive testing (303). These methods were later extended to a wide variety of clinical problems including human diagnostics such as intelligence tests (303, 335), neurocognitive inventories (336), electrocardiograms (337, 338), pain measures after SCI (339), and the AIS scale (340) and will greatly benefit our efforts in the preclinical models.…”

Section: Syndromics As a Generalizable Framework For Multiple Diseasesmentioning

confidence: 99%

Syndromics: A Bioinformatics Approach for Neurotrauma Research

Ferguson

Stück

Nielson

2011

Transl. Stroke Res.

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Substantial scientific progress has been made in the past 50 years in delineating many of the biological mechanisms involved in the primary and secondary injuries following trauma to the spinal cord and brain. These advances have highlighted numerous potential therapeutic approaches that may help restore function after injury. Despite these advances, bench-to-bedside translation has remained elusive. Translational testing of novel therapies requires standardized measures of function for comparison across different laboratories, paradigms, and species. Although numerous functional assessments have been developed in animal models, it remains unclear how to best integrate this information to describe the complete translational “syndrome” produced by neurotrauma. The present paper describes a multivariate statistical framework for integrating diverse neurotrauma data and reviews the few papers to date that have taken an information-intensive approach for basic neurotrauma research. We argue that these papers can be described as the seminal works of a new field that we call “syndromics”, which aim to apply informatics tools to disease models to characterize the full set of mechanistic inter-relationships from multi-scale data. In the future, centralized databases of raw neurotrauma data will enable better syndromic approaches and aid future translational research, leading to more efficient testing regimens and more clinically relevant findings.

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“…9,23,28,42,146 These signalprocessing methods include signal preparation (sampling, filtering, and template formation), feature extraction, and measurement. [147][148][149][150][151] Time-coherent simultaneous lead data and the construction of representative template complexes are critical to the reliability of feature extraction and measurement; global measurements of duration may be systematically smaller when time-coherent data are not used. The second stage of analysis applies diagnostic algorithms to the processed ECG.…”

Section: Technologymentioning

confidence: 99%

Recommendations for the Standardization and Interpretation of the Electrocardiogram

Kligfield¹,

Gettes²,

Bailey³

et al. 2007

Circulation

527

152

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Abstract-This statement examines the relation of the resting ECG to its technology. Its purpose is to foster understanding of how the modern ECG is derived and displayed and to establish standards that will improve the accuracy and usefulness of the ECG in practice. Derivation of representative waveforms and measurements based on global intervals are described. Special emphasis is placed on digital signal acquisition and computer-based signal processing, which provide automated measurements that lead to computer-generated diagnostic statements. Lead placement, recording methods, and waveform presentation are reviewed. Key Words: AHA Scientific Statements Ⅲ electrocardiography Ⅲ computers Ⅲ diagnosis Ⅲ electrophysiology Ⅲ intervals Ⅲ potentials Ⅲ tests I n the century since the introduction of the string galvanometer by Willem Einthoven, 1 the electrocardiogram (ECG) has become the most commonly conducted cardiovascular diagnostic procedure and a fundamental tool of clinical practice. 2,3 It is indispensable for the diagnosis and prompt initiation of therapy in patients with acute coronary syndromes and is the most accurate means of diagnosing intraventricular conduction disturbances and arrhythmias. Its interpretation may lead to the recognition of electrolyte abnormalities, particularly of serum potassium and calcium, and permit the detection of some forms of genetically mediated electrical or structural cardiac abnormalities. The ECG is routinely used to monitor patients treated with antiarrhythmic and other drugs, in the preoperative assessment of patients undergoing noncardiac surgery, and in screening individuals in high-risk occupations and, in some The American Heart Association, the American College of Cardiology, and the Heart Rhythm Society make every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest. Copies: This document is available on the World Wide Web sites of the American Heart Association (www.americanheart.org) and the American College of Cardiology (www.acc.org). A single reprint is available by calling 800-242-8721 (US only) or writing the American Heart Association, Public Information, 7272 Greenville Ave, Dallas, TX 75231-4596. Ask for reprint No. 71-0389. To purchase additional reprints, call 843-216-2533 or e-mail kelle.ramsay@wolterskluwer.com.Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American Heart Association. Instructions for obtaining permission are located at http://www.americanheart.org/presenter.jhtml? Identifierϭ4431. A link to the "Permission Request Form" appears on the right side of the page.© 2007 American...

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Computer Analysis of Electrocardiographic Measurements

Cited by 51 publications

References 4 publications

Computer Use in Health and Medical Research—Role for Computers in Heart Disease Control

Computer Use in Health and Medical Research—Role for Computers in Heart Disease Control

Syndromics: A Bioinformatics Approach for Neurotrauma Research

Recommendations for the Standardization and Interpretation of the Electrocardiogram

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