MEDICAL CHARACTERIZATION SYSTEM

• US 20190304605A1
• Filed: 06/18/2019
• Published: 10/03/2019
• Est. Priority Date: 02/13/2011
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Original Assignee: Masimo Corporation
• Inventors: Al-Ali, Ammar
• Granted Patent: US 11,488,715 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A medical characterization system is configured to input medical-related continuous parameters and discrete data so as to calculate a characterization timeline indicative of a physiological condition of a living being. A data source is in sensor communications with a patient so as to generate a continuous parameter. The data source also provides test data responsive to the patient at a test time. The test data is available to a characterization processor at a result time. The characterization processor is also responsive to the continuous parameter so as to generate a medical characterization as a function of time. A characterization analyzer enables the characterization processor to update the medical characterization in view of the test data as of the test time.

Claims

1. A method of treating a patient, the method comprising:

receiving optical data from an optical sensor;

determining a plurality of parameters based on the received optical data, wherein at least one of the plurality of parameters comprise oxygen saturation;

extracting a plurality of subparameters corresponding to the oxygen saturation, wherein the subparameters comprise saturation baseline, saturation instability, and saturation average slope;

applying a respective risk function to each of the plurality of subparameters;

calculating a plurality of subparameter risk values based on the application of respective risk functions;

calculating an oxygen saturation risk based on an application of a plurality of weights to the calculated plurality of subparameter risk values;

generating a health index based on the calculated oxygen saturation risk and risks associated with rest of the plurality of parameters;

displaying the health index on a display; and

treating the patient based on the health index.

2. The method of claim 1, further comprising allowing a user to dynamically include or exclude the plurality of parameters from calculation of the health index and updating the health index based on the user selection.

3. The method of claim 1, further comprising modifying the health index based on non-real-time data.

4. The method of claim 1, wherein the plurality of weights are automatically selected based on active data.

5. The method of claim 1, wherein the plurality of weights are automatically selected based on user defined criteria.

6. The method of claim 1, wherein the displaying further comprises displaying a historical trend of the health index.

7. The method of claim 1, wherein the displaying further comprises displaying a plurality of markers.

8. The method of claim 1, wherein the plurality of parameters comprise real-time and non-real-time parameters.

9. A system for treating a patient, the system comprising one or more hardware processors configured to:

receive optical data from an optical sensor;

determine a plurality of parameters based on the received optical data, wherein at least one of the plurality of parameters comprise oxygen saturation;

extract a plurality of subparameters corresponding to the oxygen saturation;

apply a respective risk function to each of the plurality of subparameters;

calculate a plurality of subparameter risk values based on the application of respective risk functions;

calculate an oxygen saturation risk based on an application of a plurality of weights to the calculated plurality of subparameter risk values;

generate a health index based on the calculated oxygen saturation risk and risks associated with rest of the plurality of parameters; and

display the health index, wherein the health index is configured to provide a caregiver information for treating the patient.

10. The system of claim 9, wherein the one or more hardware processors are further configured to allow a user to dynamically include or exclude the plurality of parameters from calculation of the health index and update the health index based on the user selection.

11. The system of claim 9, wherein the one or more hardware processors are further configured to modify the health index based on non-real-time data.

12. The system of claim 9, wherein the plurality of weights are automatically selected based on active data.

13. The system of claim 9, wherein the plurality of weights are automatically selected based on user defined criteria.

14. The system of claim 9, wherein the one or more hardware processors are further configured to display a historical trend of the health index.

15. The system of claim 9, wherein the one or more hardware processors are further configured to display a plurality of markers.

16. The system of claim 9, wherein the subparameters comprise saturation baseline, saturation instability, and saturation average slope.