AUTOMATICALLY GENERATING PROTOCOLS OR REPORTS BASED ON SENSOR DATA FROM A MOBILE DEVICE
Techniques are provided for performing actions based on sensor data from a mobile measurement device. The techniques involve obtaining sensor data from a mobile measurement device configured to process information from the environment, physiology of a human wearer, and anatomy of the human wearer. The sensor data is obtained from a plurality of sensors that include a blood glucose sensor. Based on the sensor data, any of the following may be generated: a protocol for exercise, a protocol for sports performance, a protocol for patient lifestyle, a protocol for patient stress management, or a report of expected effects of several aspects of treatment.
1 . A method comprising:
obtaining sensor data from a mobile measurement device configured to process information from:
the environment,
physiology of a human wearer, and
anatomy of the human wearer;
wherein the sensor data is obtained from a plurality of sensors, wherein the plurality of sensors includes at least a blood glucose sensor;
generating, based on sensor data received from the plurality of sensors, at least one of:
a protocol for exercise;
a protocol for sports performance;
a protocol for patient lifestyle;
a protocol for patient stress management; or
a report of expected effects of several aspects of treatment.
2 . The method of claim 1 wherein the sensor data includes data indicative of rate of change in heartbeat.
3 . The method of claim 1 wherein the sensor data includes data indicative of relative condition of endothelium of the human wearer.
4 . The method of claim 1 further wherein the mobile measurement device includes at least one of:
a ring-mounted computer,
an eyewear-mounted computer, or a
device integrated into shoes.
5 . The method of claim 1 further comprising receiving sensor data from one or more contact lenses configured to measure capillary blood flow.
6 . The method claim 1 wherein obtaining sensor data includes obtaining sensor data during a period where the human wearer is asleep.
7 . The method of claim 1 further comprising the mobile measurement device communicating to a medical office sensor data collected over time from the human wearer by the mobile measurement device.
8 . The method of claim 1 further comprising combining the sensor data obtain from the mobile measurement device with detections of urinalysis to identify one or more of:
blood glucose,
proteins,
ketone,
blood in urine; or
specific gravity of urine.
9 . The method of claim 1 further comprising, prior to the generating, performing a physiological analysis of the data.
10 . The method of claim 9 wherein performing the physiological analysis includes at least one of:
determining trend values; or
determining whether a current value in the sensor data has crossed a particular threshold that is associated with a physiological condition or change, or a quantitative descriptor or condition.
11 . The method of claim 1 wherein obtaining sensor data includes obtaining sensor data from the environment that indicates at least one of:
ambient temperature;
distance travelled;
topography;
elevation;
season; or
weather.
12 . The method of claim 1 wherein obtaining sensor data includes obtaining sensor data from the anatomy of the human wearer that indicates at least one of:
blood pressure,
pulse,
oximetry,
weight, or
height.
13 . The method of claim 1 wherein the plurality of sensors further includes two or more selected from a group that consists of:
an electroencephalogram (EEG) unit;
a blood pressure sensor;
a respiratory rate sensor;
a body temperature sensor; and
an oxygen absorption sensor.
14 . A system comprising:
a mobile measurement device configured to process information from:
the environment,
physiology of a human wearer, and
anatomy of the human wearer;
wherein the mobile measurement device includes a plurality of sensors for obtaining sensor data, wherein the plurality of sensors includes at least a blood glucose sensor; and
one or more computing devices that are configured to generate, based on sensor data received from the plurality of sensors, at least one of:
a protocol for exercise;
a protocol for sports performance;
a protocol for patient lifestyle;
a protocol for patient stress management; or
a report of expected effects of several aspects of treatment.
15 . The system of claim 14 wherein the sensor data includes data indicative of rate of change in heartbeat.
16 . The system of claim 14 wherein the sensor data includes data indicative of relative condition of endothelium of the human wearer.
17 . The system of claim 14 further comprising at least one of:
a ring-mounted computer,
an eyewear-mounted computer, or a
device integrated into shoes.
18 . The system of claim 14 further comprising one or more contact lenses configured to measure capillary blood flow.
19 . The system of claim 14 wherein the sensor data includes at least one of:
ambient temperature;
distance travelled;
topography;
elevation;
season; or
weather.
20 . The system of claim 14 wherein the sensor data includes at least one of:
blood pressure,
pulse,
oximetry,
weight, or
height.
21 . The system of claim 14 wherein the plurality of sensors further includes two or more selected from a group that consists of:
an electroencephalogram (EEG) unit;
a blood pressure sensor;
a respiratory rate sensor;
a body temperature sensor; and
an oxygen absorption sensor.