Invention Grant
- Patent Title: Method and system for personalized blood flow modeling based on wearable sensor networks
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Application No.: US15458106Application Date: 2017-03-14
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Publication No.: US10971271B2Publication Date: 2021-04-06
- Inventor: Lucian Mihai Itu , Tiziano Passerini , Puneet Sharma
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06G7/50
- IPC: G06G7/50 ; G16H50/50 ; G06N20/00

Abstract:
A method and system for personalized blood flow modeling based on wearable sensor networks is disclosed. A personalized anatomical model of vessels of a patient is generated based on initial patient data. Continuous cardiovascular measurements of the patient are received from a wearable sensor network on the patient. A computational blood flow model for simulating blood flow in the patient-specific anatomical model of the vessels of the patient is personalized based on the continuous cardiovascular measurements from the wearable sensor network. Blood flow and pressure in the patient-specific anatomical model of the vessels of the patient are simulated using the personalized computational blood flow model. Hemodynamic measures of interest for the patient are computed based on the simulated blood flow and pressure.
Public/Granted literature
- US20170293735A1 Method and System for Personalized Blood Flow Modeling Based on Wearable Sensor Networks Public/Granted day:2017-10-12
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