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:
Apr. 17, 2012
Filed:
Jul. 22, 2005
Ronald E. Stickney, Edmonds, WA (US);
Cynthia P. Jayne, Redmond, WA (US);
Paula Lank, Newcastle, WA (US);
Patricia O'hearn, Mercer Island, WA (US);
Tae H. Joo, Redmond, WA (US);
David R. Hampton, Woodinville, WA (US);
Richard C. Nova, Kirkland, WA (US);
Patrick F. Kelly, Edmonds, WA (US);
William E. Saltzstein, Woodinville, WA (US);
Ronald E. Stickney, Edmonds, WA (US);
Cynthia P. Jayne, Redmond, WA (US);
Paula Lank, Newcastle, WA (US);
Patricia O'Hearn, Mercer Island, WA (US);
Tae H. Joo, Redmond, WA (US);
David R. Hampton, Woodinville, WA (US);
Richard C. Nova, Kirkland, WA (US);
Patrick F. Kelly, Edmonds, WA (US);
William E. Saltzstein, Woodinville, WA (US);
Physio-Control, Inc., Redmond, WA (US);
Abstract
Signal data obtained from a piezoelectric sensor placed on a patient's body is used to detect the presence of a cardiac pulse. The piezoelectric sensor has a transducing element adapted to sense movement due to a cardiac pulse and produce piezoelectric signal data in response thereto. Processing circuitry analyzes the piezoelectric signal data for a feature indicative of a cardiac pulse and determines whether a cardiac pulse is present in the patient based on the feature. In one aspect, the feature may be a temporal feature such as a relative change in energy. In another aspect, the feature may be a spectral feature such as the energy or frequency of a peak in the energy spectrum of the signal. In yet another aspect, the feature may be obtained by comparing the piezoelectric signal data with a previously-identified pattern known to predict the presence of a cardiac pulse. Multiple features may also be obtained from the piezoelectric signal data and classified to determine the presence of a cardiac pulse.