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US 8,617,067 B2Granted
Continuous monitoring of stress using environmental data
AssigneeFujitsu Limited
InventorsJawahar Jain, David Loren Marvit, B. Thomas Adler, Alexander Gilman, Albert H. M. Reinhardt
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Abstract
In particular embodiments, a method includes accessing data streams from an environmental sensor, and one or more of a mood sensor, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or an accelerometer monitoring a person, analyzing data sets collected from the person when the person is exposed to various environmental states, and determining a current stress index of the person based on the analysis.
Claims57
A method comprising, by one or more processors associated with one or more computing devices:
- accessing, by one or more of the processors, one or more data streams from a plurality of sensors, the sensors comprising an environmental sensor and one or more of a mood sensor, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or an accelerometer, wherein:
- the data streams comprise environmental data from the environmental sensor and one or more of self-reported mood data of a person from the mood sensor, heart-rate data of the person from the heart-rate monitor, blood-pressure data of the person from the blood-pressure monitor, pulse-oximetry data of the person from the pulse oximeter, and accelerometer data of the person from the accelerometer;
- a first data set from the data streams was collected at a first time, the environmental data in the first data set indicating a first state at the first time;
- and
- a second data set from the data streams was collected at a second time, the environmental data in the second data set indicating a second state at the second time;
- accessing, by one or more of the processors, a stress model comprising baseline renal-Doppler data, baseline environmental data, and one or more of baseline self-reported mood data, baseline heart-rate data, baseline blood-pressure data, baseline pulse-oximetry data, or baseline accelerometer data, wherein the baseline-renal-Doppler data measures a stress response of the sympathetic nervous system, and wherein the stress model correlates the baseline renal-Doppler data with the baseline environment data and one or more of the baseline self-reported mood data, the baseline heart-rate data, the baseline blood-pressure data, the baseline pulse-oximetry data, or the baseline accelerometer data;
- analyzing, by one or more of the processors, the first data set and second data set with respect to each other and with respect to the stress model;
- and
- determining, by one or more of the processors, a current stress index of the person based on the analysis of the first data set and second data set with respect to each other and with respect to the stress model.
6 more elements
An apparatus comprising:
- one or more processors;
- and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to:
- access one or more data streams from a plurality of sensors, the sensors comprising an environmental sensor and one or more of a mood sensor, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or an accelerometer, wherein:
- the data streams comprise environmental data from the environmental sensor and one or more of self-reported mood data of a person from the mood sensor, heart-rate data of the person from the heart-rate monitor, blood-pressure data of the person from the blood-pressure monitor, pulse-oximetry data of the person from the pulse oximeter, and accelerometer data of the person from the accelerometer;
- a first data set from the data streams was collected at a first time, the environmental data in the first data set indicating a first state at the first time;
- and
- a second data set from the data streams was collected at a second time, the environmental data in the second data set indicating a second state at the second time;
- access a stress model comprising baseline renal-Doppler data, baseline environmental data, and one or more of baseline self-reported mood data, baseline heart-rate data, baseline blood-pressure data, baseline pulse-oximetry data, or baseline accelerometer data, wherein the baseline-renal-Doppler data measures a stress response of the sympathetic nervous system, and wherein the stress model correlates the baseline renal-Doppler data with the baseline environment data and one or more of the baseline self-reported mood data, the baseline heart-rate data, the baseline blood-pressure data, the baseline pulse-oximetry data, or the baseline accelerometer data;
- analyze the first data set and second data set with respect to each other and with respect to the stress model;
- and
- determine a current stress index of the person based on the analysis of the first data set and second data set with respect to each other and with respect to the stress model.
8 more elements
One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
- access one or more data streams from a plurality of sensors, the sensors comprising an environmental sensor and one or more of a mood sensor, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or an accelerometer, wherein:
- the data streams comprise environmental data from the environmental sensor and one or more of self-reported mood data of a person from the mood sensor, heart-rate data of the person from the heart-rate monitor, blood-pressure data of the person from the blood-pressure monitor, pulse-oximetry data of the person from the pulse oximeter, and accelerometer data of the person from the accelerometer;
- a first data set from the data streams was collected at a first time, the environmental data in the first data set indicating a first state at the first time;
- and
- a second data set from the data streams was collected at a second time, the environmental data in the second data set indicating a second state at the second time;
- access a stress model comprising baseline renal-Doppler data, baseline environmental data, and one or more of baseline self-reported mood data, baseline heart-rate data, baseline blood-pressure data, baseline pulse-oximetry data, or baseline accelerometer data, wherein the baseline-renal-Doppler data measures a stress response of the sympathetic nervous system, and wherein the stress model correlates the baseline renal-Doppler data with the baseline environment data and one or more of the baseline self-reported mood data, the baseline heart-rate data, the baseline blood-pressure data, the baseline pulse-oximetry data, or the baseline accelerometer data;
- analyze the first data set and second data set with respect to each other and with respect to the stress model;
- and
- determine a current stress index of the person based on the analysis of the first data set and second data set with respect to each other and with respect to the stress model.
6 more elements
Dependencies are inferred from the claim text.