Robotic Microtool Control in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
US-2024426856-A1 · Dec 26, 2024 · US
US10092247B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10092247-B2 |
| Application number | US-201414496752-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 25, 2014 |
| Priority date | Sep 9, 2014 |
| Publication date | Oct 9, 2018 |
| Grant date | Oct 9, 2018 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.
Opening claim text (preview).
What is claimed is: 1. A system for determining an activity level recommendation for a patient, the system comprising: at least one computer system configured to: receive data describing a geometry of at least a portion of a patient's heart; identify a cardiac event and a blood flow characteristic threshold value associated with the cardiac event; determine a three-dimensional model representing the geometry of at least the portion of the patient's heart based on the received data; determine a physics-based model of blood flow through the three-dimensional model, the physics-based model including a resistance of blood flow at the patient's myocardium simulated at a selected level of physical activity of the patient; model the flow of blood through the three-dimensional model using the physics-based model of blood flow through the three-dimensional model simulated at the selected level of physical activity; calculate, from the modeled flow of blood through the three-dimensional model simulated at the selected level of physical activity, a value of a blood flow characteristic within the patient's heart at the selected level of physical activity; update the physics-based model of blood flow by iteratively reducing the resistance to blood flow at the patient's myocardium and recalculating the value of the blood flow characteristic through each updated physics-based model, until the recalculated value exceeds the blood flow characteristic threshold value associated with the cardiac event; determine, based on one or more stored patient activities classified according to intensity level, a classification of patient activity intensity level corresponding to the physics-based model at which the recalculated value exceeded the blood flow characteristic threshold value associated with the cardiac event; and generate an activity level recommendation based on the determined classification of the patient activity intensity level. 2. The system of claim 1 , wherein the at least one computer system is further configured to: generate the activity level recommendation based on a risk of injury to the patient, the injury including stroke or myocardial infarction, or other injury. 3. The system of claim 2 , wherein the at least one computer system is further configured to: quantify the risk of the stroke, myocardial infarction, or other injury. 4. The system of claim 1 , wherein the activity level recommendation includes a level of physical activity of an intensity level less than the determined classification of the patient activity intensity level. 5. The system of claim 1 , wherein the blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, blood flow affecting plaque vulnerability, or blood flow resulting from a location in the patient's heart comprising a territory of the patient's heart at risk of insufficient blood flow. 6. The system of claim 1 , wherein the selected level of physical activity is chosen from aerobic activity and anaerobic activity. 7. The system of claim 1 , wherein the at least one computer system is further configured to: generate the activity level recommendation relative to a patient activity intensity level corresponding to wherein the selected level of physical activity comprises intimacy. 8. The system of claim 1 , wherein the at least one computer system is further configured to: update the activity level recommendation based on a change in the value of the blood flow characteristic over time. 9. The system of claim 8 , wherein the blood flow characteristic threshold value is derived from a normal state value of the patient or from subjects of similar age and/or fitness level to the patient. 10. The system of claim 1 , wherein the three-dimensional model representing the geometry of at least the portion of the patient's heart based on the received data includes at least a portion of an aorta and at least a portion of a plurality of coronary arteries emanating from the portion of the aorta. 11. The system of claim 1 , wherein the at least one computer system is configured to: determine a location of a functionally significant narrowing in a coronary artery of the patient's heart based on the recalculated value of the at least one blood flow characteristic. 12. A method for determining an activity level recommendation for a patient, the method comprising: receiving data describing a geometry of at least a portion of a patient's heart; identifying a cardiac event and a blood flow characteristic threshold value associated with the cardiac event; determining a three-dimensional model representing the geometry of at least the portion of the patient's heart based on the received data; determining, using the at least one computer system, a physics-based model of blood flow through the three-dimensional model, the physics-based model including a resistance of blood flow at the patient's myocardium; simulated at a selected level of physical activity of the patient; modeling the flow of blood through the three-dimensional model using the physics-based model of blood flow through the three-dimensional model simulated at the selected level of physical activity; calculating, from the modeled flow of blood through the three-dimensional model simulated at the selected level of physical activity, a value of a blood flow characteristic within the patient's heart at the selected level of physical activity; updating the physics-based model of blood flow by iteratively reducing the resistance to blood flow at the patient's myocardium and recalculating the value of the blood flow characteristic through each updated physics-based model, until the recalculated value exceeds the blood flow characteristic threshold value associated with the cardiac event; determining, based on one or more stored patient activities classified according to intensity level, a classification of patient activity intensity level corresponding to the physics-based model at which the recalculated value exceeded the blood flow characteristic threshold value associated with the cardiac event; and generating an activity level recommendation based on the determined classification of the patient activity intensity level. 13. The method of claim 12 , wherein the method further comprises: generating the activity level recommendation based on a risk of injury to the patient, the injury including stroke or myocardial infarction, or other injury. 14. The method of claim 13 , wherein the method further comprises: quantifying the risk of the stroke, myocardial infarction, or other injury. 15. The method of claim 12 , wherein the activity level recommendation includes a level of physical activity of an intensity level less than the determined classification of the patient activity intensity level. 16. The method of claim 12 , wherein the blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, blood flow affecting plaque vulnerability, or blood flow resulting from a location in the patient's heart comprising a territory of the patient's heart at risk of insufficient blood flow. 17. The method of claim 12 , wherein the selected level of physical activity is chosen from aerobic activity and anaerobic activity. 18. The method of claim 12 , wherein the method further comprises: generating the activity level recommendation relative to a patient activity intensity level corresponding to intimacy. 19. The method of claim 12 , wherein the metho
using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD] · CPC title
for simulation or modelling of medical disorders · CPC title
for calculating health indices; for individual health risk assessment · CPC title
Measuring blood output from the heart, e.g. minute volume · CPC title
Cross-Sectional Technologies · mapped topic
Related publications grouped by family.
Answers are generated from the same data shown on this page.