Method and system for providing feedback to user for improving performance level management thereof
A method includes collecting a set of user information, determining a user current performance by: determining a sleep score or debt, measuring the user's previous physical activity, heart rate, or body temperature, calculating weights for the sleep score and the sleep debt, the measured previous physical activity, heart rate, or body temperature, calculating a weighted sum of the weighted sleep score, the weighted sleep debt, the weighted user's previous physical activity, weighted heart rate, or weighted body temperature, setting a user target level of performance, measuring a circadian rhythm and a user's duration of sleep or sleep cycle, comparing the circadian rhythm, the duration of sleep or sleep cycle, the current performance level, and current time zone information over days to determine a separate user performance level, comparing the target level of performance to the separate user performance level, and providing an alert and feedback user related to the comparison.
1. A method for providing feedback to a user for improving performance level management, the method comprising:
collecting a first set of information from the user;
determining a current performance level of the user by:
using a wearable electronic device to determine a sleep score and a sleep debt, and measure one or more of a previous physical activity of the user, a heart rate of the user, or a body temperature of the user; and
calculating a weighted sum of weights for the sleep score, the sleep debt, and the one or more of the previous physical activity, the heart rate, or the body temperature based at least in part on comparing the sleep score, the sleep debt, and the one or more of the previous physical activity, the heart rate, or the body temperature to a respective long term average value;
setting a target performance level of the user;
measuring by sensors of the wearable electronic device, a first parameter that describes a circadian rhythm of the user and a second parameter that describes a duration of sleep or a sleep cycle of the user;
determining a new performance level of the user based on comparing the first parameter, the second parameter, the current performance level, and current time zone information measured over a plurality of days;
determining a chronotype of the user based at least in part on a midpoint of the sleep cycle, an activity level of the user in a morning, and an activity level of the user in an evening; and
providing the feedback to the user based on comparing the target performance level and the new performance level, wherein the feedback comprises instructions to the user to change the duration of sleep or the sleep cycle of the user to achieve the target performance level, and wherein the feedback is based on the chronotype of the user.
2. The method according to claim 1 , further comprising:
determining a moment of falling asleep and a moment of waking up based on at least one of a pre-defined change in heart rate or a pre-defined change in body movement, wherein the second parameter is measured as a time between the moment of falling to sleep and the moment of waking up.
3. The method according to claim 1 , wherein the first set of information comprises physiological performance related information based on an external data input by the user.
4. The method according to claim 3 , wherein the external data input comprises at least one of travel information, a target set by the user, a time zone, calendar, a working schedule, or one or more holidays.
5. The method according to claim 3 , wherein the travel information comprises information for at least one of past travels, current travels, future travels, one or more time zones, or flight times.
6. The method according to claim 3 , wherein the target performance level of the user comprises at least one of target stress level, readiness index, improved sleep, increased activity, and definition of personal optimum stress level.
7. The method according to claim 1 , further comprising:
storing the first parameter and the second parameter.
8. The method according to claim 7 , further comprising:
recalibrating the wearable electronic device based on the stored first parameter, the stored second parameter, and an input by the user.
9. The method according to claim 8 , wherein the input by the user is based on biological data derived from a laboratory test and gender, and the biological data comprises a level of at least one hormone.
10. The method according to claim 1 , further comprising:
measuring, after providing the feedback, a third parameter that describes the circadian rhythm of the user and a fourth parameter that describes the duration of sleep or the sleep cycle of the user; and
selectively providing second feedback to the user related to comparing the target performance level and an updated performance level corresponding to the third parameter and the fourth parameter.
11. The method according to claim 1 , further comprising:
determining a set of parameters that describes user adherence and accuracy of reaching the target performance level, wherein the feedback is based on the set of parameters.