Mobile Cognitive Assessment System for MCI Diagnosis
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Solution Overview
Problem
Current methods for assessing cognitive performance in individuals with mild cognitive impairment (MCI) are lengthy, unreliable, and inaccurate, leading to variability in diagnosis and treatment, particularly in the preclinical phase of Alzheimer's disease (AD).
Innovation Solution
A computer-implemented method and system that measures cognitive performance by obtaining parameters such as spatial memory accuracy, planning accuracy, dual-task interactions, and upper extremity neuro-motor parameters, using a mobile device, and computes a functional impairment score based on baseline measurements from healthy individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional neuropsychological assessments are used to evaluate cognitive performance, then comprehensive cognitive data can be obtained, but the assessment becomes lengthy and time-consuming
Solution Approach 1:
The patent extracts specific cognitive measurement parameters (spatial memory accuracy, planning accuracy, dual-task interactions, neuro-motor parameters) from comprehensive neuropsychological assessments and implements them as standalone digital tasks on mobile devices. This extraction allows for focused, efficient measurement of key cognitive domains without the time burden of full-scale assessments.
Solution Approach 2:
The patent creates digital copies of cognitive assessment tasks that replicate the functionality of conventional paper-based neuropsychological tests but deliver them through mobile device interfaces. These digital copies maintain measurement validity while enabling automated scoring, frequent administration, and remote delivery, thereby reducing assessment time significantly.
2Measurement precision
If neuroimaging techniques such as PET and MRI are used for early AD detection, then diagnostic accuracy improves, but the methods become invasive and costly, limiting frequent use
Solution Approach 1:
The patent introduces digital cognitive tasks as an intermediary assessment tool that bridges the gap between routine screening and expensive neuroimaging. These digital tasks serve as a accessible first-line screening method that can be administered frequently to identify individuals at risk, who can then be referred for neuroimaging only when necessary, optimizing resource utilization.
Solution Approach 2:
The patent replaces invasive mechanical neuroimaging systems (PET, MRI) with non-invasive digital assessment systems based on mobile device interactions. This substitution maintains diagnostic utility for early detection while eliminating the invasiveness, cost, and accessibility barriers associated with neuroimaging, enabling frequent monitoring.
3Measurement precision
If cross-sectional cognitive assessments are performed at single time points, then immediate cognitive status can be determined, but longitudinal cognitive decline and intra-individual variability cannot be accurately captured
Solution Approach 1:
The patent implements continuous cognitive monitoring through repeated administration of digital assessment tasks over time. This continuous measurement approach captures longitudinal trajectories of cognitive performance, enabling accurate detection of cognitive decline patterns and individual variability that single time-point assessments miss, thereby improving prediction reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms where individual performance data is tracked over time and compared to establish personal baselines. This feedback loop enables the system to adapt to individual cognitive patterns, distinguish between normal variability and pathological decline, and provide more reliable predictions of cognitive trajectory through cumulative data analysis.
Data Source
AI summary
A method and system for obtaining a measurement of cognitive performance in an individual, provide for obtaining a measure of at least one of the following activity parameters for the individual: 1) spatial memory accuracy; 2) planning accuracy; 3) ability to carry out dual-task interactions while navigating to a goal, wherein omission of the dual-task interactions is measured; 4) perseverations of incorrect dual-task interactions while navigating to a goal; 5) total time required by the individual to complete a navigation route; 6) upper extremity neuro-motor parameters; 7) reaction time of dual-task interactions; and 8) reaction time of the idle state of the individual; receiving the measures obtained into an algorithm; and computing a functional impairment score for the individual on the basis of baseline measurements obtained from a population of healthy individuals. The measurements are obtained using an app on an electronic portable device. The system and method may include an application executable by a user device to generate a gamified environment, to receive a first user input or set of user inputs at a first time and to transform said first user input or set of user inputs into a first measurement or set of measurements, and to receive a second user input or set of user inputs at a second time and to transform said second user input or set of user inputs into a second measurement or set of measurements; configured to receive said first measurement or set of measurements and compute a first functional impairment score and to receive said second measurement or set of measurements and compute a second functional impairment score; and configured to compare said second functional impairment score with said first functional impairment score and determine a magnitude and/or a speed of change in said functional impairment scores.