Patent ID: 8617067
Filing Date: 2013-12-31
Classification: A61B,G16H

Abstract:
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 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: 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.