Method and System for Assessment of Cognitive Function Based on Mobile Device Usage

Abstract

A system and method that enables a person to unobtrusively assess their cognitive function from mobile device usage. The method records on the mobile device the occurrence and timing of user events comprising the opening and closing of applications resident on the device, the characters inputted, touch-screen gestures made, and voice inputs used on those applications, performs the step of learning a function mapping from the mobile device recordings to measurements of cognitive function that uses a loss function to determine relevant features in the recording, identifies a set of optimal weights that produce a minimum of the loss function, creates a function mapping using the optimal weights, and performs the step of applying the learned function mapping to a new recording on the mobile device to compute new cognitive function values.

1 . A computer-implemented means for assessing brain health of a person based on the person's use of a mobile device, wherein the computer-implemented means comprises a processing means, and wherein:
 the computer-implemented means receives inputs recorded from the person's use of the mobile device; and   the computer-implemented means computes a brain health metric by applying a function mapping to the inputs, wherein the brain health metric is the person's likelihood of having one of a new onset of a mental health disorder, a therapeutic response to an intervention, and a relapse of a mental health disorder, and further wherein the function mapping uses a loss-function to identify a set of optimal weights for the function mapping that produce a minimum of the loss-function.   
     
     
         2 . The computer-implemented means of  claim 1 , wherein
 the computer-implemented means receives a set of new inputs from the person's use of the mobile device; and   the computer-implemented means applies the function mapping to the new inputs to compute a new brain health metric.   
     
     
         3 . The computer-implemented means of  claim 1 , wherein the person's likelihood of having one of the new onset of a mental health disorder, the therapeutic response to an intervention, and the relapse of a mental health disorder is characterized by at least one of a neuropsychological assessment, a neurophysiological measurement, a functional neuroimaging scan, a structural neuroimaging scan, and a clinical outcome assessment. 
     
     
         4 . The computer-implemented means of  claim 1 , wherein the mental health disorder is one of major depression disorder, schizophrenia disorder, bipolar disorder, post-traumatic stress disorder, generalized anxiety disorder, substance use disorder, and attention deficit hyperactivity disorder. 
     
     
         5 . The computer-implemented means of  claim 1 , wherein the inputs include at least one of passively recorded: applications opened, inputs typed, gesture patterns used on a touch screen, body motions, eye movements, voice input, accelerometer sensor data, and gyroscopic sensor data. 
     
     
         6 . The computer-implemented means of  claim 5 , wherein the inputs comprise passively recorded global positioning system longitude and latitude coordinates. 
     
     
         7 . The computer-implemented means of  claim 1 , wherein the intervention is at least one of social interaction, physical activity, sleep, cognitive behavioral therapy, and diet. 
     
     
         8 . The computer-implemented means of  claim 7 , further comprising the step of: making a recommendation or care-plan adjustment in at least one of social interaction, physical activity, sleep, cognitive behavioral therapy, and diet. 
     
     
         9 . A computer-implemented method for assessing brain health of a person based on the person's use of a mobile device, the computer-implemented method executing instructions on one or more hardware processors of a computing system, the instructions comprising:
 receiving, by the computing system, inputs recorded from the person's use of the mobile device; and   computing, by the computing system, a brain health metric by applying a function mapping to the inputs, wherein the brain health metric is the person's likelihood of having one of a new onset of a mental health disorder, a therapeutic response to an intervention, and a relapse of a mental health disorder, and further wherein the function mapping uses a loss-function to identify a set of optimal weights for the function mapping that produce a minimum of the loss-function.   
     
     
         10 . The computer-implemented method of  claim 9 , wherein the instructions further comprise:
 receiving, by the computing system, a set of new inputs, from the person's use of the mobile device; and   applying, by the computing system, the function mapping to the new inputs to compute a new brain health metric.   
     
     
         11 . The computer-implemented method of  claim 9 , wherein the person's likelihood of having one of the new onset of a mental health disorder, the therapeutic response to an intervention, and the relapse of a mental health disorder is characterized by at least one of a neuropsychological assessment, a neurophysiological measurement, a functional neuroimaging scan, a structural neuroimaging scan, and a clinical outcome assessment. 
     
     
         12 . The computer-implemented means of  claim 9 , wherein the mental health disorder is one of major depression disorder, schizophrenia disorder, bipolar disorder, post-traumatic stress disorder, generalized anxiety disorder, substance use disorder, and attention deficit hyperactivity disorder. 
     
     
         13 . The computer-implemented method of  claim 9 , wherein the inputs include at least one of passively recorded: applications opened, inputs typed, gesture patterns used on a touch screen, body motions, eye movements, voice input, accelerometer sensor data, and gyroscopic sensor data. 
     
     
         14 . The computer-implemented method of  claim 13 , wherein the inputs comprise passively recorded global positioning system longitude and latitude coordinates. 
     
     
         15 . The computer-implemented method of  claim 9 , wherein the intervention is at least one of social interaction, physical activity, sleep, cognitive behavioral therapy, and diet. 
     
     
         16 . The computer-implemented method of  claim 15 , further comprising the step of: making a recommendation or care-plan adjustment in at least one of social interaction, physical activity, sleep, cognitive behavioral therapy, and diet. 
     
     
         17 . A computer-readable medium comprising instructions that when executed by a processor running on a computing system perform a method for assessing brain health of a person based on the person's use of a mobile device, the instructions comprising:
 receiving, by the computing system, inputs recorded from the person's use of the mobile device; and   computing, by the computing system, a brain health metric by applying a function mapping to the inputs, wherein the brain health metric is the person's likelihood of having one of a new onset of a mental health disorder, a therapeutic response to an intervention, and a relapse of a mental health disorder, and further wherein the function mapping uses a loss-function to identify a set of optimal weights for the function mapping that produce a minimum of the loss-function   
     
     
         18 . The computer-readable medium of  claim 17 , wherein the instructions further comprise:
 receiving, by the computing system, a set of new inputs, from the person's use of the mobile device; and   applying, by the computing system, the function mapping to the new inputs to compute a new brain health metric.   
     
     
         19 . The computer-readable medium of  claim 17 , wherein the person's likelihood of having one of the new onset of a mental health disorder, the therapeutic response to an intervention, and the relapse of a mental health disorder is characterized by at least one of a neuropsychological assessment, a neurophysiological assessment, a functional neuroimaging scan, a structural neuroimaging scan, and a clinical outcome assessment. 
     
     
         20 . The computer-readable medium of  claim 17 , wherein the inputs include at least one of passively recorded: applications opened, inputs typed, gesture patterns used on a touch screen, body motions, eye movements, voice input, accelerometer sensor data, and gyroscopic sensor data.