Multisensory Cognitive Assessment for Faster Remote Screening
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Solution Overview
Problem
Current cognitive assessment and training methods require extensive daily practice on the same tasks and do not generalize to real-world improvements, with benefits often limited to trained tasks and lacking long-term effectiveness.
Innovation Solution
A method and system utilizing non-invasive behavioral tasks that integrate visual and auditory stimuli to assess and train cognitive functions, including tasks like temporal numerosity judgment, rhythm discrimination, and pitch discrimination, with adaptive difficulty levels and virtual reality interfaces to enhance multisensory integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cognitive assessment tests are used requiring patient visits to doctors and task performance, then cognitive impairment can be diagnosed, but the process is time-consuming and requires extensive medical infrastructure
Solution Approach 1:
The patent creates a simplified copy of clinical cognitive assessment tasks that can be administered remotely through digital devices. The system replicates the essential measurement functions of in-person cognitive tests while eliminating the need for physical clinic visits, allowing patients to complete assessments in their own environments at convenient times.
Solution Approach 2:
The patent introduces a digital platform as an intermediary between patients and cognitive assessment. This intermediary system delivers standardized cognitive tasks, collects responses, and processes results automatically, replacing the need for direct doctor-patient interaction during assessment while maintaining diagnostic accuracy.
2Productivity
If computerized cognitive training tasks are used to improve cognitive performance, then task-specific improvements can be achieved, but the benefits do not generalize to real-world functions and require extensive daily practice
Solution Approach 1:
The patent designs cognitive training tasks that simultaneously target multiple cognitive domains and real-world functional skills. The training system incorporates diverse task types that exercise memory, attention, processing speed, and executive functions in integrated ways, allowing improvements to transfer across different contexts and daily life activities rather than remaining task-specific.
Solution Approach 2:
The patent implements adaptive training protocols that dynamically adjust task difficulty, complexity, and content based on individual patient performance and progress. The system evolves training programs over time to maintain optimal challenge levels and ensure continuous cognitive engagement, preventing plateau effects and promoting sustained improvement that generalizes to real-world functions.
3Reliability
If traditional cognitive training approaches are used with prescribed medications and lifestyle changes, then cognitive decline can be addressed, but the methods lack engagement and long-term effectiveness
Solution Approach 1:
The patent incorporates immediate, personalized feedback mechanisms that provide patients with real-time information about their cognitive performance, progress over time, and achievement of training goals. The system delivers encouraging feedback, performance analytics, and adaptive guidance that motivates continued participation and reinforces cognitive improvement, making the remediation process more engaging and sustainable.
Data Source
AI summary
One embodiment includes a method for cognitive assessment is provided. The method comprises presenting, using an assessment device, one or more tasks to a subject, wherein the one or more tasks include a time series of visual stimuli, audio stimuli, or both visual and audio stimuli, wherein the visual stimuli comprises flashes of light and the audio stimuli comprises short audio tones. The method further comprises receiving, via the assessment device, response data from the subject for each of the one or more tasks; calculating, using one or more processors, performance-related parameters based on the response data, wherein the performance-related parameters include timing data; analyzing, using the one or more processors, the subject's performance as a combination of performance-related parameters selected across the one or more tasks presented to the subject; and generating, using the one or more processors, a cognitive measurement of the subject based on the analyzed performance.