Mental State Detection System Using Sensor-Based Behavioral Analysis
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Solution Overview
Problem
Current methods for assessing the underlying mental or physical state of individuals, particularly in cases like bipolar disorder, are inaccurate and impractical due to reliance on human clinicians, which are not scalable and have limitations in cultural and age diversity, and require direct interaction, making them inefficient and prone to 'blind-spots'.
Innovation Solution
A distributed system for automatic behavioral analysis using human interface systems with sensors to generate interview data, a state assessment server for pattern identification, and bi-directional communication to predict manic/depressive episodes, incorporating embodied conversational agents for non-invasive and interactive assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human clinicians conduct assessments, then diagnostic accuracy may be improved through expert judgment, but scalability and consistency across diverse populations deteriorate
Solution Approach 1:
The patent creates a computational model that copies and formalizes clinician assessment logic into an automated system. The machine learning model learns from labeled clinical data to replicate expert diagnostic reasoning, enabling consistent application across unlimited cases without requiring additional human clinicians.
Solution Approach 2:
The patent replaces the mechanical system of human clinician interaction with an automated computational system. Sensors capture physiological and behavioral data, which are then processed by algorithms to generate assessments, substituting the human-in-the-loop mechanism with an automated data acquisition and analysis pipeline.
2Reliability
If direct interaction between clinician and patient is required, then comprehensive assessment may be achieved, but practical implementation and scalability worsen
Solution Approach 1:
The system enables self-service assessment where patients complete surveys and provide data through automated interfaces without requiring clinician presence. The computational model autonomously processes the collected data and generates assessments, allowing patients to be assessed in their natural environments without scheduling clinical appointments.
Solution Approach 2:
The patent introduces computational models and automated survey systems as intermediaries between the patient and the assessment process. These intermediaries collect, structure, and preliminary analyze patient data, replacing the direct human interaction with an automated mediation layer that maintains assessment quality while improving accessibility.
3Measurement precision
If multiple assessments over extended periods are conducted, then diagnostic accuracy for detecting onset improves, but time consumption and cost increase
Solution Approach 1:
The system implements continuous assessment by automatically collecting data through sensors and surveys over extended periods without interruption. The computational model continuously processes incoming data streams and updates diagnostic predictions, maintaining constant monitoring capability without requiring repeated manual assessment sessions.
Solution Approach 2:
The system performs preliminary data collection and automated preliminary analysis continuously in the background. By maintaining a running assessment and updating predictions in real-time as new data arrives, the system prepares diagnostic conclusions in advance, eliminating the need for time-consuming retrospective analysis when clinical decisions are needed.
Data Source
AI summary
A distributed system for conducting an automatic behavioral analysis for the assessment of the mental state of a human interviewee that includes a human interface system including sensors for generating interview data associated the interviewee; a state assessment server system including a database storing data generated during a plurality of interviews of a given interviewee at different times; and a communication link permitting bi-directional communications between the human interface system and the state assessment server system; where the at least one state assessment server is configured to identify at least one pattern within the stored data to predict the onset of manic/depressive episode for the interviewee.