HEALTH AND MEDICAL SMARTPHONE

• US 20150351698A1
• Filed: 02/27/2015
• Published: 12/10/2015
• Est. Priority Date: 06/04/2014
• Status: Abandoned Application

• Current Assignee: Grandios Technologies, LLC
• Original Assignee: Grandios Technologies, LLC
• Inventors: Cronin, John
• Application Number:
  US14/634,263
• Publication Number:
  US 20150351698A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• 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: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Methods and systems are presented for analyzing physiological data and health data at an operating system of a user device in order to identify emergencies or medically significant events in real-time. In some embodiments, physiological parameter data and health parameter data retrieved from wearable monitors may be analyzed in real-time on a user device (e.g., smartphone). In some embodiments, notifications may be generated based on the analysis of the retrieved data.

Claims

1. A method for analyzing physiological parameter data and health data in real-time on a user device, the method comprising:

executing instructions stored in memory, wherein the execution of the instructions by the processor;

retrieves physiological parameter data in real-time from a physiological monitor associated with a user of the user device, wherein the physiological parameter data includes values of a physiological parameter of the user measured in real-time;

retrieves health parameter data in real-time from a health monitor associated with the user of the user device, wherein the health parameter data includes values of the health parameter of the user measured in real-time;

analyzes the received physiological parameter data in real-time to identify a particular medical event associated with the user, wherein the particular identified medical event includes a first medical event indicative of no medical attention being needed for the user and a second medical event indicative of medical attention being needed for the user, wherein analyzing the received physiological parameter data includes determining that the physiological parameter data includes values that are outside of a predetermined range for the physiological parameter, and wherein the particular identified medical event corresponds to a period of time in which the physiological parameter values remain outside the predetermined range, a first period of time corresponding to the first medical event and a second period of time, which is longer than the first period of time, corresponding to the second medical event;

analyzes the received health parameter data in real-time over a specified time period and generates a health level for the user based on the health data over a pre-determined period of time; and

generating one or more medical notifications corresponding to the identified medical event and generated health level, wherein medical notifications are generated in real-time based on the identified medical event and medical monitor settings.

2. The method of claim 1, further comprising receiving via a user interface of the user device user input including medical monitor settings, and wherein the physiological parameter data and the health parameter data are retrieved based on the medical monitor settings.

3. The method of claim 2, wherein the medical monitor settings designate allowed medical monitors and allowed health monitors, and wherein the physiological parameter data is retrieved only from the allowed medical monitors, and the health parameter data is retrieved only from the allowed health monitors.

4. The method of claim 3, wherein the allowed medical monitors include a blood pressure monitor.

5. The method of claim 3, wherein the allowed medical monitors include a pulse rate monitor.

6. The method of claim 3, wherein the allowed health monitors include a caloric monitor that measures calories burned by a user of the user device.

7. The method of claim 3, wherein the allowed health monitors include a fitness monitor that measures intensities of physical exercises undertaken by a user of the user device.

8. The method of claim 1, wherein the specified time period over which the health parameter data is analyzed is a preceding month.

9. The method of claim 1, wherein the specified time period over which the health parameter data is analyzed is a preceding week.

10. The method of claim 2, wherein the medical monitor settings designate allowed medical service providers, and wherein the one or more medical notifications are delivered only to the allowed medical service providers.

11. The method of claim 10, wherein the allowed medical service providers include a user-specified physician.

12. The method of claim 10, wherein the allowed medical service providers include an emergency response system.

13. The method of claim 1, wherein the health level generated for the user may be defined as poor if the health parameter data, taken as an average over the specified time period, is outside of a healthy range for the health parameter.

14. The method of claim 13, wherein the execution of instructions by the processor further includes analyzing the identified medical event to determine an associated severity level.

15. The method of claim 14, wherein the one or more medical notifications are generated based on the severity level of the identified medical event and the generated health level for the user.

16. The method of claim 15, further comprising receiving feedback from one or more recipients of the one or more generated notifications, wherein the feedback includes responsive communications based on the severity level of the identified medical event and the generated health level for the user.

17. The method of claim 15, wherein the severity level associated with the identified medical event is an emergency medical event.

18. The method of claim 17, wherein at least one of the one or more notifications generated based on the identified medical event and the generated health level is transmitted by the user device to an emergency response system when the identified medical event is an emergency medical event.

19. An apparatus for analyzing physiological parameter data and health data in real-time on a user device, the apparatus comprising:

a memory that stores instructions; and

a processor that executes the instructions stored in the memory to;

retrieves physiological parameter data in real-time from a physiological monitor associated with a user of the user device, wherein the physiological parameter data includes values of a physiological parameter of the user measured in real-time;

retrieves health parameter data in real-time from a health monitor associated with the user of the user device, wherein the health parameter data includes values of the health parameter of the user measured in real-time;

analyzes the received physiological parameter data in real-time to identify a particular medical event associated with the user, wherein the particular identified medical event includes a first medical event indicative of no medical attention being needed for the user and a second medical event indicative of medical attention being needed for the user, wherein analyzing the received physiological parameter data includes determining that the physiological parameter data includes values that are outside of a predetermined range for the physiological parameter, and wherein the particular identified medical event corresponds to a period of time in which the physiological parameter values remain outside the predetermined range, a first period of time corresponding to the first medical event and a second period of time, which is longer than the first period of time, corresponding to the second medical event;

analyzes the received health parameter data in real-time over a specified time period; and

generates a health level for the user based on the health data over a pre-determined period of time; and

generates one or more medical notifications corresponding to the identified medical event and generated health level, wherein medical notifications are generated in real-time based on the identified medical event and medical monitor settings.

20. A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor for analyzing physiological parameter data and health data in real-time on a user device, the method comprising:

retrieving physiological parameter data in real-time from a physiological monitor associated with a user of the user device, wherein the physiological parameter data includes values of a physiological parameter of the user measured in real-time;

retrieving health parameter data in real-time from a health monitor associated with the user of the user device, wherein the health parameter data includes values of the health parameter of the user measured in real-time;

analyzing the received physiological parameter data in real-time to identify a particular medical event associated with the user, wherein the particular identified medical event includes a first medical event indicative of no medical attention being needed for the user and a second medical event indicative of medical attention being needed for the user, wherein analyzing the received physiological parameter data includes determining that the physiological parameter data includes values that are outside of a predetermined range for the physiological parameter, and wherein the particular identified medical event corresponds to a period of time in which the physiological parameter values remain outside the predetermined range, a first period of time corresponding to the first medical event and a second period of time, which is longer than the first period of time, corresponding to the second medical event;

analyzing the received health parameter data in real-time over a specified time period; and

generates a health level for the user based on the health data over a pre-determined period of time; and

generating one or more medical notifications corresponding to the identified medical event and generated health level, wherein medical notifications are generated in real-time based on the identified medical event and medical monitor settings.