The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 12, 2004
Filed:
Feb. 27, 2001
M. Pamela Griffin, Charlottesville, VA (US);
J. Randall Moorman, Charlottesville, VA (US);
Boris P. Kovatchev, Amherst, VA (US);
University of Virginia Patent Foundation, Charlottesville, VA (US);
Abstract
In one aspect of the invention, there is provided a method and apparatus for early detection of subacute, potentially catastrophic illness in a patient. The method comprises: (a) monitoring heart rate variability in the patient; and (b) identifying at least one characteristic abnormality in the heart rate variability that is associated with the illness. This method can be use to diagnose illnesses such as, but not limited to, sepsis, necrotizing enterocolitis, pneumonia and meningitis, as well as noninfectious illnesses. In another aspect of the present invention, there is provided a method and apparatus for early detection of subacute, potentially catastrophic illness in a patient. The method comprises: (a) monitoring the patient's RR intervals; (b) generating a normalized data set of the RR intervals; (c) calculating one or more of (i) moments of the data set selected from the second and higher moments, including the standard deviation (ii) percentile values of the data set, (iii) sample entropy, and (iv) sample asymmetry; and (d) identifying an abnormal heart rate variability associated with the illness based on one or more of the moments, the percentile values, sample entropy, and sample asymmetry analysis.