Systems for predicting hypoglycemia and methods of use thereof
The present invention provides for a computer system that includes at least one server having software stored on a non-transient computer readable medium; where, upon execution of the software, the at least one server is at least configured to: i) receiving, in real-time, an input from a user; ii) receiving, in real-time, physiological data representative of a physiological measurement of physiological characteristic of the user; iii) comparing, in real-time, the physiological measurement of the user to a pre-determined physiological value associated with the physiological characteristic retrieved from a database; iv) based on the comparing, determining, in real-time, that a difference between the physiological measurement of the user and the pre-determined physiological value is higher or smaller than the predetermined threshold value, and then: v) generating, in real-time, at least one alert; vi) transmitting, in real-time, the at least one alert.
1. A system, comprising:
at least one user-wearable device, wherein the at least one user-wearable device is in contact with a skin of a user when the user wears the at least one user-wearable device, and wherein the at least one user-wearable device comprises at least one sensor configured to acquire physiological measurements for at least one hypoglycemia-related physiological characteristic of the user that is correlated with at least one of a blood insulin excess or a hypoglycemic blood glucose level;
wherein the at least one hypoglycemia-related physiological characteristic is chosen from beat-to-beat heart rate, heart rate variability, oxygen saturation, galvanic skin response, and any combination thereof;
a non-transient computer readable medium having hypoglycemia-predictive software;
at least one processor configured to execute the hypoglycemia-predictive software;
wherein, upon execution of the hypoglycemia-predictive software, the at least one processor is at least configured to:
receive, in real-time, user-specific data from a user, wherein the user-specific data comprises: food intake of the user, glucose readings of the user, medication intake by the user, user behavior data and at least one insulin dose taken by the user;
receive, in real-time, from the at least one user-wearable device, user-specific hypoglycemia-related physiological data, comprising at least one particular physiological measurement of the at least one hypoglycemia-related physiological characteristic of the user;
determine, in real-time, a hypoglycemic event of the user, based on the at least one particular physiological measurement of the at least one hypoglycemia-related physiological characteristic of the user and at least one chosen from:
1) a predicted user-specific value of the at least one hypoglycemia-related physiological characteristic, determined based on the user-specific data, and
2) an expected population-based value of the at least one hypoglycemia-related physiological characteristic, determined based on a population of individuals identified based on the user-specific data;
generate, in real-time, in response to the determination of the hypoglycemic event of the user, at least one alert, instructing the user to consume glucose-rich intake; and
output, in real-time, the at least one alert to at least one of: the user, at least one family member, at least one medical practitioner, or any combination thereof.
2. A method, comprising:
providing at least one user-wearable device, wherein the at least one user-wearable device is in contact with a skin of a user when the user wears the at least one user-wearable device, and wherein the at least one user-wearable device comprises at least one sensor configured to acquire physiological measurements for at least one hypoglycemia-related physiological characteristic of the user that is correlated with at least one of a blood insulin excess or a hypoglycemic blood glucose level;
wherein the at least one hypoglycemia-related physiological characteristic is chosen from beat-to-beat heart rate, heart rate variability, oxygen saturation, galvanic skin response, and any combination thereof;
receiving, by a processor executing hypoglycemia-predictive software, in real-time, user-specific data from a user, wherein the user-specific data comprises: food intake of the user, glucose readings of the user, medication intake by the user, user behavior data and at least one insulin dose taken by the user;
receiving, by the processor executing hypoglycemia-predictive software, in real-time, from the at least one user-wearable device, user-specific hypoglycemia-related physiological data, comprising at least one particular physiological measurement of the at least one hypoglycemia-related physiological characteristic of the user;
determining, by the processor executing hypoglycemia-predictive software, in real-time, a hypoglycemic event of the user, based on the at least one particular physiological measurement of the at least one hypoglycemia-related physiological characteristic of the user and at least one chosen from:
1) a predicted user-specific value of the at least one hypoglycemia-related physiological characteristic, determined based on the user-specific data, and
2) an expected population-based value of the at least one hypoglycemia-related physiological characteristic, determined based on a population of individuals identified based on the user-specific data;
generating, by the processor executing hypoglycemia-predictive software, in real-time, in response to the determination of the hypoglycemic event of the user, at least one alert, instructing the user to consume glucose-rich intake; and
outputting, by the processor executing hypoglycemia-predictive software, in real-time, the at least one alert to at least one of: the user, at least one family member, at least one medical practitioner, or any combination thereof.
3. The system of claim 1 , wherein the user is in a state of sleep.
4. The system of claim 3 , wherein the at least one alert comprises at least one sleep-awaking software instruction to a computing device associated with the user to cause the computing device to generate an output that is configured to awake the user from the state of sleep.
5. The method of claim 2 , wherein the user is in a state of sleep.
6. The method of claim 5 , wherein the at least one alert comprises at least one sleep-awaking software instruction to a computing device associated with the user to cause the computing device to generate an output that is configured to awake the user from the state of sleep.