Mobile wireless customizable health and condition monitor

• US 9,526,421 B2
• Filed: 11/25/2013
• Issued: 12/27/2016
• Est. Priority Date: 03/11/2005
• Status: Expired due to Fees

• Current Assignee: NRV-Wellness, LLC
• Original Assignee: NRV-Wellness, LLC
• Inventors: Papadopoulos, Amy, Crump, Cindy A., Wilson, Bruce G.
• Primary Examiner(s): Wieland, Robert N
• Application Number:
  US14/089,324
• Publication Number:
  US 20140155705A1
• Time in Patent Office: 1,128 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0233 Special features of optical sensors or probes classified in A61B5/00
• CPC Class Codes: A61B 2562/04 Arrangements of multiple sensors of the same type
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/14507 specially adapted for measuring characteristics of body fluids other than blood devices for taking samples of body liquids A61B10/0045
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: G08B 21/0423 detecting deviation from an expected pattern of behaviour or schedule
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• CPC Class Codes: G08B 21/0453 worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A method and system for wellness monitoring using one or more wellness indicator inputs and values is provided. One or more wellness indicator monitoring devices may be provided for measuring wellness indicator input. The wellness indicator monitoring devices may have one or more sensors and a microcontroller in communication with the one or more sensors. One or more servers may communicate with the one or more wellness indicator monitoring devices over a network. A processor may be configured to manipulate the wellness indicator input, and one or more output device may create a desired output based on the wellness indicator values.

Claims

1. A method for health and wellness assessment comprising:

gathering wellness indicator inputs for patient-specific wellness indicators utilizing human observations, utilizing one or more sensing devices, or by utilizing a combination of human observations and one or more sensing devices;

transmitting wellness indicator inputs to a server through manual user input or transmission from a sensing device;

maintaining data for one or more patient-specific wellness indicators on the server;

deriving one or more wellness indicator values from one or more wellness indicator inputs;

providing an output or display of derived wellness indicator values for evaluation;

evaluating wellness indicator values to assess patient health;

receiving an input manually correcting wellness indicator inputs and recalculating values to improve accuracy of wellness indicator scores;

generating a correction value based on a frequency and a characteristic of the manually corrected wellness indicator inputs; and

automatically correcting a subsequent wellness indicator input based on the generated correction value.

2. The method of claim 1, wherein:

a wellness indicator can be a simple wellness indicator with a value that is derived directly from wellness indicator input or a composite wellness indicator that is derived from at least one other wellness indicator.

3. The method of claim 2, further comprising:

establishing formulas for weighting components of an individual wellness indicator or a composite wellness indicator and deriving the value of an individual or composite wellness indicator by applying the weighting to the corresponding values of its component wellness indicators.

4. The method of claim 3, further comprising:

comparing wellness indicator values to important contextual information such as population-based risk, population norms, or a patient-specific goal or normal range.

5. The method of claim 1, further comprising:

comparing wellness indicator values to prior values for that patient and allowing comparison and evaluation of patient-specific wellness indicator data over time.

6. The method of claim 1, further comprising:

displaying individual and composite wellness indicators in a novel graphical manner in which a scale of color and numbers provide a simple but unambiguous presentation of the wellness indicator values relative to the desired contextual values.

7. The method of claim 1, further comprising:

providing one or more sensors, including at least one of an accelerometer, a humidity sensor, skin temperature, weight sensors, GSR sensor, elevation sensor, and or physiological sensors;

incorporating these sensors in sensing devices, including at least one of a wearable monitor or external sensor;

measuring wellness indicator inputs at desired intervals automatically or manually; and

transmitting the results to the server.

8. The method of claim 7, wherein:

external sensor includes at least one of, a humidity monitor, shower monitor, toilet flushing monitor, temperature monitor, light level monitor, door monitor, motion monitor, bed monitor, a bed, chair or sofa mounted weight monitoring sensor, and or other locational monitors.

9. The method of claim 1, further comprising:

comparing wellness indicator values to patient-specific personalized baselines and patterns.

10. The method of claim 1, further comprising:

providing an ability for certain wellness indicator values to trigger an alert.

11. The method of claim 1, further comprising:

wellness indicator input comprising a survey that tracks an individual patient'"'"'s own opinion of their well-being or condition.

12. The method of claim 1, further comprising:

providing an ability to further engage the patient with the wellness indicators displayed and organized in a motivational challenge or game with incentives or rewards for the patient achieving patient-specific goals.

13. A system comprising:

circuitry configured to

gather wellness indicator inputs for patient-specific wellness indicators utilizing human observations, utilizing one or more sensing devices, or by utilizing a combination of human observations and one or more sensing devices;

receive wellness indicator inputs through manual user input or transmission from a sensing device;

maintain data for one or more patient-specific wellness indicators;

derive one or more wellness indicator values from one or more wellness indicator inputs;

provide an output or display of derived wellness indicator values for evaluation;

evaluate wellness indicator values to assess patient health;

receive an input manually correcting wellness indicator inputs to recalculate values to improve accuracy of wellness indicator scores;

generate a correction value based on a frequency and a characteristic of the manually corrected wellness indicator inputs; and

automatically correct a subsequent wellness indicator input based on the generated correction value.

14. The system of claim 13, wherein:

a wellness indicator can be a simple wellness indicator with a value that is derived directly from wellness indicator input or a composite wellness indicator that is derived from at least one other wellness indicator.

15. The system of claim 14, wherein:

the circuitry is configured to apply formulas for weighting components of an individual wellness indicator or a composite wellness indicator and derive the value of an individual or composite wellness indicator by applying the weighting to the corresponding values of its component wellness indicators.

16. The system of claim 15, wherein:

the circuitry is configured to compare wellness indicator values to contextual information such as population-based risk, population norms, or a patient-specific goal or normal range.

17. The system of claim 13, wherein:

the circuitry is configured to compare wellness indicator values to prior values for that patient to evaluate patient-specific wellness indicator data over time.

18. The system of claim 13, wherein

the circuitry is configured to generate display data including individual and composite wellness indicators in a graphical manner in which a scale of color and numbers provide a simple but unambiguous presentation of the wellness indicator values relative to the desired contextual values.

19. The system of claim 13, wherein:

the circuitry is configured to compare wellness indicator values to patient-specific personalized baselines and patterns.

20. A non-transitory computer-readable medium including computer program instructions, which when executed by an information processing system, cause the information processing system to:

gather wellness indicator inputs for patient-specific wellness indicators utilizing human observations, utilizing one or more sensing devices, or by utilizing a combination of human observations and one or more sensing devices;

receive wellness indicator inputs through manual user input or transmission from a sensing device;

maintain data for one or more patient-specific wellness indicators;

derive one or more wellness indicator values from one or more wellness indicator inputs;

provide an output or display of derived wellness indicator values for evaluation;

evaluate wellness indicator values to assess patient health;

receive an input manually correcting wellness indicator inputs to recalculate values to improve accuracy of wellness indicator scores;

generate a correction value based on a frequency and a characteristic of the manually corrected wellness indicator inputs; and

automatically correct a subsequent wellness indicator input based on the generated correction value.