MULTISENSOR PULMONARY ARTERY AND CAPILLARY PRESSURE MONITORING SYSTEM

Systems and methods are provided for the non-invasive computation of Pulmonary Artery Pressure (and its components of mean, systolic and diastolic) (PAP) as well as Pulmonary Capillary Wedge Pressure (and its components of mean, A-Wave and V-Wave) (PCWP) using a wearable sensor device. Cardiac acous...

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Bibliographic Details
Main Authors Wasko, Michael, Zheng, Yi, Saraf, Kanav, Borgstrom, Per Henrik, Zhang, Xu, Kaiser, William J, Baek, Christopher, Mahajan, Aman
Format Patent
LanguageEnglish
Published 29.09.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:Systems and methods are provided for the non-invasive computation of Pulmonary Artery Pressure (and its components of mean, systolic and diastolic) (PAP) as well as Pulmonary Capillary Wedge Pressure (and its components of mean, A-Wave and V-Wave) (PCWP) using a wearable sensor device. Cardiac acoustic and electrocardiogram sensor signals are obtained and multiple temporal, amplitude-based, and spectral features are extracted from the signals. Extracted features from a subject are used as inputs for pre-trained classification, regression, or advanced machine learning models to provide an accurate computation of PAP and PCWP and their associated component values without surgery.
Bibliography:Application Number: US202117216460