IP Library › Granted Patent US 11,986,274
Granted Patent B2
US 11,986,274 · App. 17/518,193 · Granted May 21, 2024

Cardiovascular assist system that quantifies heart function and facilitates heart recovery

Inventors: Elazer Edelman (Cambridge, MA); Brian Chang (Cambridge, MA); Noam Josephy (Danvers, MA); Sonya Sanat Bhavsar (Danvers, MA)
Assignees: ABIOMED, INC.; MASSACHUSETTS INSTITUTE OF TECHNOLOGY
A61B5/02141A61B5/02028A61B5/0205A61B5/0215A61B5/02158A61B5/029A61B5/352A61B5/4848A61B5/7275A61M60/178A61M60/216A61M60/422A61M60/531A61M60/554A61M60/857A61B5/02405A61B5/026A61B2505/09
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,986,274
App. No.
17/518,193
Granted
May 21, 2024
Kind
B2
Abstract

The systems, devices, and methods presented herein use a heart pump to obtain measurements of cardiovascular function. The heart pumps described herein can operate in parallel with and unload the heart. The system can quantify the functioning of the native heart by measuring certain parameters/signals such as pressure or motor current, then calculate and display one or more metrics of cardiovascular function. These metrics, such as left ventricular end diastolic pressure (LVEDP), left ventricular pressure, and contractility, provide valuable information to a user regarding a patient's state of heart function and recovery.

Claims (70)

1. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric; and

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric,

wherein the heart pump system is implanted across an aortic valve of the patient.

2. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric;

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric;

receiving a request for adjustment of operation of the heart pump system; and

adjusting, based on the request, operation of a motor to drive the heart pump system.

3. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric; and

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric,

wherein the at least one heart metric is contractility, stroke volume, ejection fraction, chamber pressure, stroke work, cardiac output, cardiac power output, left ventricular pressure, preload state, afterload state, heart rate, heart recovery, flow load state, variable volume load state, cardiac cycle volume load state, or cardiac cycle flow state.

4. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric; and

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric,

wherein the motor parameter is one of motor current, change in motor current, variability of motor current, and a net integrated area of motor current and pressure.

5. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric; and

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric,

wherein the motor parameter is motor current and the at least one heart metric is left ventricular end diastolic pressure (LVEDP), and wherein the controller determines LVEDP from a measured motor current and a pressure head determined from the measured motor current and the measured aortic pressure.

6. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric;

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric;

storing, by the controller, the relationship between the motor parameter and the aortic pressure in a memory;

determining a time period in which an inflection point indicative of left ventricular end diastolic pressure (LVEDP) can be found; and

identifying the inflection point in the aortic pressure based on the determined time period.

7. The method of claim 6 , wherein determining the time period comprises identifying a time period in which the motor parameter changes.

8. The method of claim 6 , further comprising determining LVEDP based on the inflection point from a dynamic curve look-up table in the memory.

9. The method of claim 6 , further comprising receiving an ECG signal, and wherein determining the time period comprises identifying a time period in which the ECG signal indicates an end cycle of diastole.

10. An automated method of using a heart pump system to determine cardiac function of a patient, the method comprising:

measuring, by a pressure sensor, an aortic pressure over time;

measuring, by a controller, a motor parameter over time;

receiving, from the pressure sensor, the aortic pressure over time;

generating, by the controller, a relationship between the motor parameter and the aortic pressure;

determining, by the controller, at least one heart metric indicative of cardiac function based on the generated relationship between the measured aortic pressure and the measured motor parameter;

displaying the at least one heart metric;

dynamically adjusting, by the controller, operation of the heart pump system to change driving of a rotor of the heart pump system based on the at least one heart metric; and

further comprising determining a heart phase from the relationship between the motor parameter and the aortic pressure, and wherein the heart phase is determined using one or more of ECG data, a hemodynamic parameter, the motor parameter, a speed of a motor of the heart pump system, and a slope of the aortic pressure.

11. The method of claim 10 , wherein the heart phase is determined from ECG data.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2023
From: EDELMAN, ELAZER; CHANG, BRIAN
To: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Reel/Frame 063282/0115 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2023
From: JOSEPHY, NOAM
To: ABIOMED, INC.; MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Reel/Frame 063282/0208 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2023
From: BHAVSAR, SONYA SANAT
To: ABIOMED, INC.
Reel/Frame 063282/0254 →
Continuity (4)
Continuation 16455835 · Jun 28, 2019
Continuation 15709080 · Sep 19, 2017
Provisional Application 62396628 · Sep 19, 2016
Related Publication 20220167862A1 · Jun 2, 2022
Cited By (18)
US 12,194,287 US 12,201,821 US 12,222,267 US 12,257,424 US 12,310,708 US 12,311,160 US 12,324,906 US 12,377,256 US 12,478,266 US 12,478,267 US 12,491,357 US 12,502,524 US 12,508,418 US 12,569,671 US 12,667,714 US 12,702,816 US 12,702,821 US 12,741,135