Calculating and monitoring the efficacy of stress-related therapies
First Claim
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1. 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 an accelerometer, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor, wherein;
the data streams comprise two or more of accelerometer data of a person from the accelerometer, 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, or self-reported mood data of the person from the mood sensor;
a first data set from the data streams was collected from the person at a first time, the person having engaged in a therapy at the first time; and
a second data set from the data streams was collected from the person at a second time, the person not having engaged in the therapy at the second time;
accessing, by one or more of the processors, a stress model comprising baseline renal-Doppler data, and two or more of baseline accelerometer data of the person, baseline heart-rate data of the person, baseline blood-pressure data of the person, baseline pulse-oximetry data of the person, or baseline self-reported mood data of the person, 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 two or more of the baseline accelerometer data of the person, the baseline heart-rate data of the person, the baseline blood-pressure data of the person, the baseline pulse-oximetry data of the person, or the baseline self-reported mood data of the person;
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 factor for the therapy on 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, the current stress factor measuring a change in the person'"'"'s stress index associated with the therapy.
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Abstract
In particular embodiments, a method includes accessing data streams from at least two of an accelerometer, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor monitoring a person, analyzing data sets collected from the person when the person is engage and not engaged in a therapy, and determining a current stress factor for the therapy on the person based on the analysis.
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Citations
48 Claims
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1. A method comprising, by one or more processors associated with one or more computing devices:
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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 an accelerometer, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor, wherein; the data streams comprise two or more of accelerometer data of a person from the accelerometer, 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, or self-reported mood data of the person from the mood sensor; a first data set from the data streams was collected from the person at a first time, the person having engaged in a therapy at the first time; and a second data set from the data streams was collected from the person at a second time, the person not having engaged in the therapy at the second time; accessing, by one or more of the processors, a stress model comprising baseline renal-Doppler data, and two or more of baseline accelerometer data of the person, baseline heart-rate data of the person, baseline blood-pressure data of the person, baseline pulse-oximetry data of the person, or baseline self-reported mood data of the person, 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 two or more of the baseline accelerometer data of the person, the baseline heart-rate data of the person, the baseline blood-pressure data of the person, the baseline pulse-oximetry data of the person, or the baseline self-reported mood data of the person; 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 factor for the therapy on 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, the current stress factor measuring a change in the person'"'"'s stress index associated with the therapy. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. 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 an accelerometer, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor, wherein; the data streams comprise two or more of accelerometer data of a person from the accelerometer, 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, or self-reported mood data of the person from the mood sensor; a first data set from the data streams was collected from the person at a first time, the person having engaged in a therapy at the first time; and a second data set from the data streams was collected from the person at a second time, the person not having engaged in the therapy at the second time; access a stress model comprising baseline renal-Doppler data, and two or more of baseline accelerometer data of the person, baseline heart-rate data of the person, baseline blood-pressure data of the person, baseline pulse-oximetry data of the person, or baseline self-reported mood data of the person, 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 two or more of the baseline accelerometer data of the person, the baseline heart-rate data of the person, the baseline blood-pressure data of the person, the baseline pulse-oximetry data of the person, or the baseline self-reported mood data of the person; 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 factor for the therapy on 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, the current stress factor measuring a change in the person'"'"'s stress index associated with the therapy. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
- one or more processors; and
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33. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
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access one or more data streams from a plurality of sensors, the sensors comprising two or more of an accelerometer, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor, wherein; the data streams comprise two or more of accelerometer data of a person from the accelerometer, 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, or self-reported mood data of the person from the mood sensor; a first data set from the data streams was collected from the person at a first time, the person having engaged in a therapy at the first time; and a second data set from the data streams was collected from the person at a second time, the person not having engaged in the therapy at the second time; access a stress model comprising baseline renal-Doppler data, and two or more of baseline accelerometer data of the person, baseline heart-rate data of the person, baseline blood-pressure data of the person, baseline pulse-oximetry data of the person, or baseline self-reported mood data of the person, 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 two or more of the baseline accelerometer data of the person, the baseline heart-rate data of the person, the baseline blood-pressure data of the person, the baseline pulse-oximetry data of the person, or the baseline self-reported mood data of the person; 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 factor for the therapy on 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, the current stress factor measuring a change in the person'"'"'s stress index associated with the therapy. - View Dependent Claims (34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48)
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Specification