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Title: Heart pathology determination from electrocardiogram signals by application of deterministic chaos mathematics. CRADA final report

Technical Report ·
DOI:https://doi.org/10.2172/325739· OSTI ID:325739
;  [1];  [2]
  1. Oak Ridge National Lab., TN (United States)
  2. Physio-Control Corp., Redmond, WA (United States)

It is well known that the electrical signals generated by the heart exhibit nonlinear, chaotic dynamics. A number of heart pathologies alter heartbeat dynamics and/or the electrical properties of the heart, which, in turn, alter electrocardiogram signals. Electrocardiogram techniques in common use for diagnosing pathologies have limited sensitivity and specificity. This leads to a relatively high misdiagnosis rate for ventricular fibrillation. It is also known that the linear analysis tools utilized (such as fast Fourier transforms and linear statistics) are limited in their ability to find subtle changes or characteristic signatures in nonlinear chaotic electrocardiogram signals. In contrast, the authors` research indicates that chaotic time-series analysis tools that they have developed allow quantification of the nonlinear nature of dynamic systems in the form of nonlinear statistics, and also enable characteristic signatures to be identified. The goal of this project is to modify these tools to increase and enhance the medically useful information obtained from electrocardiogram signals through the application of chaotic time series analysis tools. In the one year of the project, the tools have been extended to enhance the capabilities for detecting ventricular fibrillation. Chaotic time-series analysis provides a means to increase sensitivity in detecting general heart dynamics. Oak Ridge National Laboratory specialists have worked with Physio-Control and their medical collaborators to extend the capabilities of state-of-the-art electrocardiogram systems and interpretation of results.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Research, Washington, DC (United States)
DOE Contract Number:
AC05-96OR22464
OSTI ID:
325739
Report Number(s):
ORNL/TM-13436; ON: DE97007946; CRN: C/ORNL--95-0353; TRN: AHC29910%%47
Resource Relation:
Other Information: PBD: [1999]
Country of Publication:
United States
Language:
English