Data acquisition quality and data fusion for personal portable wireless vital signs scanner

1. A method comprising:

with a portable vital signs scanner having a plurality of different vital signs sensors,

receiving first motion data corresponding to a first motion of a user;

receiving second motion data corresponding to a second motion of the user, the second motion data indicating that the second motion is smaller than the first motion;

determining that a difference between the first motion data and the second motion data is greater than a predetermined threshold;

concurrently sensing data from a user with the plurality of different vital signs sensors over a period of time;

over the period of time, determining a plurality of different vital sign values for a respective plurality of different vital signs associated with the user in response to the sensed data from one or more of the plurality of different vital sign sensors; and

based on the difference determination between the first motion data and the second motion data, designating at least two vital sign values as valid;

fusing together at least two different vital sign values that were designated as valid to improve the quality of at least one vital sign value of a vital sign.

2. The method of claim 1 , further comprising:

fusing a first vital sign value designated as valid with a second vital sign value designated as valid, the vital signs associated with the user;

generating a third vital sign value associated with the user without the need for sensing the third vital sign value directly from the user; and

designating the third vital sign value as valid.

3. The method of claim 1 , further comprising:

combining electrocardiogram (ECG) scan data and photoelectric plethysmogram (PPG) scan data together with user biometrics; and

deriving a value for blood pressure,

wherein the user biometrics are one or more of the set of height, weight, sex, and age of a user.

4. The method of claim 1 , wherein

scan data for at least two vital sign values of the plurality of vital sign values can be fused together to form a value for respiration rate or heart rate.

5. The method of claim 1 , wherein

sensed data from one vital sign sensor is used to derive a plurality of different vital sign values.

6. The method of claim 5 , wherein

sensed data from a pulse oximeter (PulseOX) sensor is used to derive values for blood oxygenation (SpO2) and pulse rate.

7. The method of claim 5 , wherein

sensed data from an electrocardiogram (ECG) sensor is used to derive heart rate and heart rate variability.

8. The method of claim 1 , further comprising:

sensing acceleration of the portable vital signs scanner;

determining movement of the portable vital signs scanner along a first axis in response to the sensed acceleration;

sensing sounds around the portable vital signs scanner; and

fusing the movement along the first axis with sounds around the portable vital signs scanner to form a value for respiration rate.

9. The method of claim 1 , further comprising:

determining pulse rate from photoelectric plethysmogram (PPG) sensor data;

sensing acceleration of the portable vital signs scanner;

comparing the pulse rate with the sensed acceleration and electrocardiogram (ECG) sensor data to form a value for heart rate.

10. The method of claim 1 , further comprising:

determining pulse blood volume from photoelectric plethysmogram (PPG) sensor data;

determining surface temperature from infrared temperature sensor data; and

fusing the pulse blood volume with the surface temperature to form a core body temperature.

11. The method of claim 1 , further comprising:

receiving epidemio biometrics information;

performing a pulse wave transit time (PWTT) on electrocardiogram (ECG) sensor data, and photoelectric plethysmogram (PPG) sensor data; and

fusing the PWTT data with the epidemio biometrics information by using an algorithm to form high blood pressure or hypertension information.

12. A method comprising:

forming a circuit comprising a first electrode for making contact at a first point on a user, and a second electrode for making contact at a second point on the user, the first electrode configured for coupling to the second electrode through the first point and the second point;

selecting a sensor from a set of vital signs sensors;

determining a first resistivity comprising an electrical resistance at one or more of the first electrode and the second electrode;

comparing the first resistivity to a predetermined threshold;

concurrently sensing data from the user with the set of vital signs sensors over a period of time;

over the period of time, determining a plurality of different vital sign values for a respective plurality of different vital signs associated with the user in response to the sensed data from sensors selected from the set of vital sign sensors;

based on the comparison of the first resistivity to the predetermined threshold, designating at least two of the determined vital sign values as valid; and

fusing together at least two different vital sign values designated as valid to form a value of another vital sign associated with the user.

13. The method of claim 12 , further comprising:

fusing together at least two different vital sign values that were designated as valid to improve the quality of at least one vital sign value.

14. The method of claim 12 , further comprising:

combining electrocardiogram (ECG) scan data and photoelectric plethysmogram (PPG) scan data together with user biometrics; and

deriving a value for blood pressure, the user biometrics are one or more of the set of height, weight, sex, and age of a user,

wherein scan data for at least two vital sign values of the plurality of vital sign values can be fused together to form a value for respiration rate or heart rate.

15. The method of claim 12 , wherein

sensed data from one vital sign sensor is used to derive a plurality of different vital sign values.

16. The method of claim 15 , wherein

sensed data from a pulse oximeter (PulseOX) sensor is used to derive values for blood oxygenation (Sp02) and pulse rate.

17. The method of claim 15 , wherein

sensed data from an electrocardiogram (ECG) sensor is used to derive heart rate and heart rate variability.

18. The method of claim 12 , further comprising:

sensing acceleration having a direction;

determining movement along a first axis in response to the sensed acceleration;

sensing sounds proximate to a sensor in the set of vital sign sensors; and

fusing the movement along the first axis with selected sounds that were sensed in proximity to the sensor to form a value for respiration rate.

19. The method of claim 12 , further comprising:

determining pulse rate from photoelectric plethysmogram (PPG) sensor data;

sensing acceleration of the portable vital signs scanner;

comparing the pulse rate with the sensed acceleration and electrocardiogram (ECG) sensor data to form a value for heart rate.

20. The method of claim 12 , further comprising:

determining pulse blood volume from photoelectric plethysmogram (PPG) sensor data;

determining surface temperature from infrared temperature sensor data; and

fusing the pulse blood volume with the surface temperature to form a core body temperature.

21. The method of claim 12 , further comprising:

receiving epidemio biometrics information;

performing a pulse wave transit time (PWTT) on electrocardiogram (ECG) sensor data, and photoelectric plethysmogram (PPG) sensor data; and

fusing the PWTT data with the epidemio biometrics information using an algorithm to form high blood pressure or hypertension information.