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.

Date of Patent:
Apr. 07, 2020

Filed:

Mar. 31, 2015
Applicant:

The Regents of the University of Michigan, Ann Arbor, MI (US);

Inventors:

Kayvan Najarian, Northville, MI (US);

Kenn Oldham, Ann Arbor, MI (US);

Daniel Slavin, Ann Arbor, MI (US);

Ashwin Belle, Ann Arbor, MI (US);

Kevin R. Ward, Superior Township, MI (US);

Sardar Ansari, Richmond, VA (US);

Rodney C. Daniels, Ann Arbor, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/0295 (2006.01); A61M 5/172 (2006.01); A61B 5/024 (2006.01); A61B 5/02 (2006.01); A61B 5/11 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0295 (2013.01); A61B 5/6802 (2013.01); A61B 5/6831 (2013.01); A61B 5/7207 (2013.01); A61B 5/7235 (2013.01); A61M 5/1723 (2013.01); A61B 5/02007 (2013.01); A61B 5/02438 (2013.01); A61B 5/11 (2013.01); A61B 2562/0261 (2013.01); A61B 2562/06 (2013.01);
Abstract

The invention is a passive, wearable sensor that uses a thin piezoelectric material to produce a time history of blood pressure of the patient, with signal processing algorithms to extract physiological information. The sensor consists of a piezoelectric transducer set in a polymer laminate that can be applied to the finger or wrist of the patient. During use, a combination of compressive and bending deformation in the piezoelectric layer in response to blood pressure in the finger or wrist as a voltage output. Using signal processing techniques, the raw signal is filtered and decomposed to obtain a information to form derivative signals such as blood pressure, pulse pressure, pulse pressure variability, heart rate, heart rate variability, and respiratory rate which can be very important pre-cursors in the monitoring of the patient's physiological conditions.


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