Advanced computer techniques for inverse modeling of electric current in cardiac tissue

Technical Report · Thu Aug 01 00:00:00 EDT 1996

DOI:https://doi.org/10.2172/367252· OSTI ID:367252

Hutchinson, S A; Romero, L A; Diegert, C F

For many years, ECG`s and vector cardiograms have been the tools of choice for non-invasive diagnosis of cardiac conduction problems, such as found in reentrant tachycardia or Wolff-Parkinson-White (WPW) syndrome. Through skillful analysis of these skin-surface measurements of cardiac generated electric currents, a physician can deduce the general location of heart conduction irregularities. Using a combination of high-fidelity geometry modeling, advanced mathematical algorithms and massively parallel computing, Sandia`s approach would provide much more accurate information and thus allow the physician to pinpoint the source of an arrhythmia or abnormal conduction pathway.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 367252
• Report Number(s): SAND-96-1976; ON: DE96014166
• Resource Relation: Other Information: PBD: Aug 1996
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
BASIC STUDIES
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
HEART
ANIMAL TISSUES
ELECTRIC CURRENTS
BIOELECTRICITY
ELECTROCARDIOGRAMS
CORRELATIONS
ALGORITHMS
PARALLEL PROCESSING
FINITE ELEMENT METHOD
MESH GENERATION
DIAGNOSTIC TECHNIQUES
M CODES
PARTIAL DIFFERENTIAL EQUATIONS