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US 8,540,629 B2Granted
Continuous monitoring of stress using a stress profile created by renal doppler sonography
AssigneeFujitsu Limited
InventorsJawahar Jain, David Loren Marvit, Shreyans Gandhi, Madan Bahadur
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Abstract
In particular embodiments, a method includes accessing data streams from one or more of a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, a mood sensor, or an accelerometer monitoring a person, accessing a stress model, analyzing the data streams with respect to the stress model, and determining based on the analysis a current stress index of the person.
Claims75
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 two or more of a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, a mood sensor, or an accelerometer, the data streams comprising one or more of heart-rate data of a 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, self-reported mood data of the person from the mood sensor, or accelerometer data of the person from the accelerometer;
- accessing, by one or more of the processors, a stress model, the stress model comprising baseline renal-Doppler data and two or more of baseline heart-rate data, baseline blood-pressure data, baseline pulse-oximetry data, or baseline self-reported mood data, wherein the baseline-renal-Doppler data measures a stress response of the sympathetic nervous system, and the stress model correlates the baseline renal-Doppler data with two or more of the baseline heart-rate data, the baseline blood-pressure data, the baseline pulse-oximetry data, or the baseline self-reported mood data;
- analyzing, by one or more of the processors, the data streams with respect to the stress model;
- and
- determining, by one or more of the processors, based on the analysis a current stress index of the person.
2 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 two or more of a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, a mood sensor, or an accelerometer, the data streams comprising one or more of heart-rate data of a 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, self-reported mood data of the person from the mood sensor, or accelerometer data of the person from the accelerometer;
- access a stress model, the stress model comprising baseline renal-Doppler data and two or more of baseline heart-rate data, baseline blood-pressure data, baseline pulse-oximetry data, or baseline self-reported mood data, wherein the baseline-renal-Doppler data measures a stress response of the sympathetic nervous system, and the stress model correlates the baseline renal-Doppler data with two or more of the baseline heart-rate data, the baseline blood-pressure data, the baseline pulse-oximetry data, or the baseline self-reported mood data;
- analyze the data streams with respect to the stress model;
- and
- determine based on the analysis a current stress index of the person.
4 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 two or more of a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, a mood sensor, or an accelerometer, the data streams comprising one or more of heart-rate data of a 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, self-reported mood data of the person from the mood sensor, or accelerometer data of the person from the accelerometer;
- access a stress model, the stress model comprising baseline renal-Doppler data and two or more of baseline heart-rate data, baseline blood-pressure data, baseline pulse-oximetry data, or baseline self-reported mood data, wherein the baseline-renal-Doppler data measures a stress response of the sympathetic nervous system, and the stress model correlates the baseline renal-Doppler data with two or more of the baseline heart-rate data, the baseline blood-pressure data, the baseline pulse-oximetry data, or the baseline self-reported mood data;
- analyze the data streams with respect to the stress model;
- and
- determine based on the analysis a current stress index of the person.
2 more elements
Dependencies are inferred from the claim text.