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US Patent 11883174 Sensing foley catheter

Patent 11883174 was granted and assigned to Potrero Medical on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Potrero Medical
Potrero Medical
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Current Assignee
Potrero Medical
Potrero Medical
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118831740
Patent Inventor Names
Daniel R. Burnett0
Richard W. O'Connor0
Brett Mensh0
Greg J. Lee0
Date of Patent
January 30, 2024
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Patent Application Number
171886580
Date Filed
March 1, 2021
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Patent Citations
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US Patent 6997884 System and method for assessing urinary function
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US Patent 7004899 System and method for assessing urinary function
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US Patent 7025718 Method and device for correcting in-vivo sensor drift
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US Patent 7052452 System and method for assessing urinary function
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US Patent 7112170 Intra-aortic balloon catheter having a dual sensor pressure sensing system
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US Patent 7112177 Apparatus for monitoring intra-abdominal pressure
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US Patent 7154398 Wireless communication and global location enabled intelligent health monitoring system
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US Patent 7229403 Intra-aortic balloon catheter having a dual sensor pressure sensing system
0
...
Patent Primary Examiner
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Carl H Layno
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Patent abstract

Foley type catheter embodiments for sensing physiologic data from a urinary tract of a patient are disclosed. The system includes the catheter and a data processing apparatus and methods for sensing physiologic data from the urinary tract. Embodiments may also include a pressure sensor having a pressure interface at a distal end of the catheter, a pressure transducer at a proximal end, and a fluid column disposed between the pressure interface and transducer. When the distal end is residing in the bladder, the pressure transducer can transduce pressure impinging on it into a chronological pressure profile, which can be processed by the data processing apparatus into one or more distinct physiologic pressure profiles, for example, peritoneal pressure, respiratory rate, and cardiac rate. At a sufficiently high data-sampling rate, these physiologic data may further include relative pulmonary tidal volume, cardiac output, relative cardiac output, and absolute cardiac stroke volume.

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