Systems and methods for detecting early indications of illnesses

Abstract

A method for addressing tactical situations via tactical devices may include (i) identifying at least one wearable device that monitors at least one biomarker of a user wearing the at least one wearable device during a span of time while carrying out daily activities, (ii) receiving, by a server, information about activity of the at least one biomarker monitored by the at least one wearable device during the span of time, (iii) determining that the activity of the at least one biomarker during the span of time includes an early indication of an illness, and (iv) transmitting an alert about the early indication of the illness detected by the at least one wearable device. Various other systems, and methods are also disclosed.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 identifying at least one wearable device that monitors at least one biomarker of a user wearing the at least one wearable device during a span of time while carrying out daily activities;   receiving, by a server, information about activity of the at least one biomarker monitored by the at least one wearable device during the span of time;   determining that the activity of the at least one biomarker during the span of time comprises an early indication of an illness; and   transmitting an alert about the early indication of the illness detected by the at least one wearable device.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein transmitting the alert comprises transmitting the alert to the user. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein transmitting the alert comprises transmitting the alert to a team leader of a team comprising the user. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein determining that the activity of the at least one biomarker during the span of time comprises the early indication of the illness comprises:
 selecting a specific illness from a list of illnesses with known indications; and   analyzing the activity of the at least one biomarker for at least one indication of the specific illness.   
     
     
         5 . The computer-implemented method of  claim 4 , wherein selecting the specific illness from the list of illnesses comprises receiving a selection of the illness from a team leader of a team that comprises the user. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein determining that the activity of the at least one biomarker during the span of time comprises the early indication of the illness comprises comparing the activity of the at least one biomarker during the span of time to baseline activity data previously recorded for the user by the at least one wearable device. 
     
     
         7 . The computer-implemented method of  claim 1 , identifying the at least one wearable device comprises:
 identifying an application to which the wearable device transmits data; and   interfacing with the application to receive the data.   
     
     
         8 . The computer-implemented method of  claim 1 , wherein the biomarker comprises at least one of:
 heart rate;   heart rate variability;   breathing rate;   temperature; and   sleep disruption.   
     
     
         9 . The computer-implemented method of  claim 1 , wherein the wearable device comprises a third-party exercise monitor. 
     
     
         10 . The computer-implemented method of  claim 1 :
 wherein the wearable device comprises a location sensor;   further comprising, in response to determining that the activity of the at least one biomarker during the span of time comprises the early indication of the illness:
 retrieving location data from the location sensor of the wearable device; 
 identifying, based on the location data, at least one additional user that came into proximity to the user of the wearable device during the span of time; and 
 transmitting an additional alert in response to identifying the at least one additional user that came into proximity to the user of the wearable device during the span of time. 
   
     
     
         11 . The computer-implemented method of  claim 1 , wherein determining that the activity of the at least one biomarker during the span of time comprises the early indication the illness comprises correlating activity of multiple biomarkers received from a plurality of wearable devices worn by the user. 
     
     
         12 . The computer-implemented method of  claim 1 , wherein the daily activities comprise at least one of:
 performing job functions;   exercising; and   sleeping.   
     
     
         13 . The computer-implemented method of  claim 1 , further comprising analyzing, by the server, a readiness of the user to perform a specified task based at least in part on the activity of the at least one biomarker during the span of time. 
     
     
         14 . The computer-implemented method of  claim 1 , wherein determining that the activity of the at least one biomarker during the span of time comprises the early indication of the illness comprises analyzing the activity of the at least one biomarker via a machine-learning classifier. 
     
     
         15 . The computer-implemented method of  claim 14 , wherein the machine-learning classifier comprises a convolutional neural network. 
     
     
         16 . The computer-implemented method of  claim 1 , wherein the wearable device comprises at least one of:
 a watch;   a chest strap; and   a ring.   
     
     
         17 . A system comprising:
 a non-transitory memory; and   one or more hardware processors configured to execute instructions from the non-transitory memory to perform operations comprising:
 identifying at least one wearable device that monitors at least one biomarker of a user wearing the at least one wearable device during a span of time while carrying out daily activities; 
 receiving, by a server, from the at least one wearable device, information about activity of the at least one biomarker during the span of time; 
 determining that the activity of the at least one biomarker during the span of time comprises an early indication of an illness; and 
 transmitting an alert about the early indication of the illness detected by the at least one wearable device. 
   
     
     
         18 . A system comprising:
 a monitoring application that is installed on a mobile device and that:
 retrieves biomarker data from at least one wearable device application installed on the mobile device; and 
 sends the biomarker data to a server that analyzes the biomarker data for an early indication of an illness. 
   
     
     
         19 . The system of  claim 18 , wherein the monitoring application:
 receives a message from the server that the biomarker data comprises the early indication of the illness; and   displays, via the mobile device, an alert about the early indication of the illness.   
     
     
         20 . The system of  claim 18 , further comprising a team leader application that is installed on a computing device and that displays at least one of:
 the biomarker data retrieved by the monitoring application installed on the mobile device;   additional biomarker data retrieved by an instance of the monitoring application installed on an additional mobile device; and   an alert about the early indication of the illness detected by the server.