MEDICAL SMARTPHONE

• US 20150351695A1
• 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:
  US14/634,110
• Publication Number:
  US 20150351695A1
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• 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 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Methods and systems are presented for analyzing physiological 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 data from a wearable physiological monitoring device may be analyzed in real-time on a user device (e.g., smartphone). In some embodiments, local and remote analyses of motion activity data feeds from data sources may be used to identify medically significant events in real-time.

Claims

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

receiving user input via a user interface of a user device, wherein the received user input includes medical monitor settings; and

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

activates a medical monitor feature on the user device based on the medical monitor settings,

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

analyzes, via the user device, the received physiological parameter data in real-time to identify a particular medical event associated with 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, wherein the particular medical event corresponds to a particular period of time in which the physiological parameter values remain outside the predetermined range, and wherein the particular period of time includes a first period of time corresponding to a short period of time associated with a first medical event that does not require medical attention and a second period of time corresponding to a longer period of time compared to the first period of time associated with a second medical event that does require medical attention, and

generating, via the user device, one or more medical notifications in response to identifying the second medical event, wherein the one or more medical notifications are generated in real-time based on the medical monitor settings.

2. The method of claim 1, wherein the medical monitor settings designate allowed medical monitors, and wherein physiological parameter data is retrieved only from the allowed medical monitors.

3. The method of claim 2, wherein the allowed medical monitors include a blood pressure monitor.

4. The method of claim 2, wherein the allowed medical monitors include a pulse rate monitor.

5. The method of claim 1, 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.

6. The method of claim 5, wherein the allowed medical service providers include a user-specified physician.

7. The method of claim 5, wherein the allowed medical service providers include an emergency response system.

8. The method of claim 1, wherein determining that the physiological parameter data includes values that are outside of a predetermined range for the physiological parameter includes determining that one or more values of the physiological parameter cross a first threshold, wherein the first threshold is a first distance from a maximum value of the predetermined range of the physiological parameter.

9. The method of claim 8, wherein determining that the physiological parameter data includes values that are outside of a predetermined range for the physiological parameter includes determining that one or more values of the physiological parameter meets a second threshold, wherein the second threshold is a second distance from the maximum value of the predetermined range of the physiological parameter, and wherein the second distance is greater than the first distance and the second threshold is greater than the first threshold.

10. The method of claim 9, wherein the execution of instructions by the processor further includes analyzing the identified medical event to determine an associated severity level.

11. The method of claim 10, wherein the one or more medical notifications are generated based on the severity level of the identified medical event.

12. The method of claim 11, wherein the severity level for an identified medical event associated with physiological parameter values that cross the first threshold but not the second threshold is lower than the severity level for an identified medical event associated with physiological parameter values that cross both the first threshold and the second threshold.

13. The method of claim 12, wherein the severity level associated with crossing the first threshold is a non-emergency medical, and wherein the severity level associated with crossing both the first and second thresholds is an emergency medical event.

14. The method of claim 13, wherein the severity level associated with the identified medical event is further based on a duration of the period of time of the medical event, wherein the duration is based on the greater of the first and second thresholds crossed by the physiological parameter values associated with the identified medical event.

15. The method of claim 14, further comprising transmitting the one or more notifications generated based on the identified medical event over a network to a medical service provider when the identified medical event is a non-emergency medical event.

16. The method of claim 14, further comprising transmitting at least one of the one or more notifications generated based on the identified medical event over a network to an emergency response system by the user device when the identified medical event is an emergency medical event.

17. The method of claim 1, wherein the user device is a smartphone.

18. The method of claim 17, wherein activating the medical monitor feature comprises executing a medical monitor application on the smartphone.

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

a user interface that receives user input, wherein the received user input includes medical monitor settings; and

a processor that executes instructions stored in memory to;

activate a medical monitor feature on the user device based on the medical monitor settings,

retrieve 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 the physiological parameter of the user measured in real-time, and wherein the physiological parameter data is retrieved based on the medical monitor settings,

analyze the received physiological parameter data in real-time to identify a particular medical event associated with 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, wherein the particular medical event corresponds to a particular period of time in which the physiological parameter values remain outside the predetermined range, and wherein the particular period of time includes a first period of time corresponding to a short period of time associated with a first medical event that does not require medical attention and a second period of time corresponding to a longer period of time compared to the first period of time associated with a second medical event that does require medical attention, and

generate one or more medical notifications in response to identifying the medical event, wherein the one or more medical notifications are generated in real-time based on the 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 in real-time on a user device, the method comprising:

receiving user input via a user interface of a user device, wherein the received user input includes medical monitor settings;

activating a medical monitor feature on the user device based on the medical monitor settings;

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 the physiological parameter of the user measured in real-time, and wherein the physiological parameter data is retrieved based on the medical monitor settings;

analyzing, via the user device, the received physiological parameter data in real-time to identify a particular medical event associated with 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, wherein the particular medical event corresponds to a particular period of time in which the physiological parameter values remain outside the predetermined range, and wherein the particular period of time includes a first period of time corresponding to a short period of time associated with a first medical event that does not require medical attention and a second period of time corresponding to a longer period of time compared to the first period of time associated with a second medical event that does require medical attention; and

generating, via the user device, one or more medical notifications in response to identifying the second medical event, wherein the one or more medical notifications are generated in real-time based on the medical monitor settings.