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Computational Method for Improved Forewarning of Critical Events

ORNL’s computational method for analyzing nonlinear processes provides improved forewarning of imminent critical events. This is achieved through phase space dissimilarity analysis of data from mechanical or electrical devices, biomedical data, or other physical processes. The need to distinguish between similar, yet distinct, states in a nonlinear process is essential to many engineering, research, and medical applications.

This technology is capable of detecting failure onset from a variety of data sources, including human brain waves and chest sounds, motors, and electrical devices.

Examples of possible biomedical forewarning include distinguishing between preseizure and nonseizure brain waves, prefibrillation and fibrillation heart waves, presyncope and syncope heart waves, presepsis and sepsis heart waves, and normal and abnormal chest sounds.

Computational Sciences and Engineering Division
Oak Ridge National Laboratory
Technology Commercialization Manager, Building, Computational, and Transportation Sciences
Oak Ridge National Laboratory
Phone: 865. 241.3808
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