Brainwave Cognitive Evaluation for Speech-Impaired Patients
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Solution Overview
Problem
Existing methods struggle to accurately evaluate high-level cognitive functions in patients who have difficulty verbalizing or have speech impairments, making it challenging to distinguish between impaired consciousness and language abilities, and identifying the cause of speech difficulties.
Innovation Solution
A brainwave-based cognitive function evaluation system that predicts language intention from brain signals, analyzing voice clarity and answer accuracy to determine impaired functions, using EEG, MEG, and deep learning models to quantify cognitive abilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional speech-based cognitive evaluation methods are used, then evaluation can be performed for patients with normal speech function, but accurate evaluation becomes difficult for patients with speech impairments or difficulty in verbal response
Solution Approach 1:
The patent replaces the mechanical speech-based evaluation system with a brainwave-based evaluation system. Instead of relying on verbal responses (mechanical speech production), the system directly measures electrical brain signals (EEG, MEG) to assess cognitive functions including language ability, memory, and attention, thereby eliminating the limitation of speech impairment
Solution Approach 2:
The patent introduces brainwaves as an intermediary between the patient's cognitive state and the evaluation system. Rather than directly observing speech output, the system uses brainwave signals as a mediator to infer language intention and cognitive function, allowing accurate evaluation even when speech output is impaired or absent
2Measurement precision
If speech-based evaluation is used, then language ability can be assessed, but it becomes difficult to distinguish between impaired consciousness and language function disorders
Solution Approach 1:
The patent segments the cognitive evaluation into distinct brainwave-based metrics including language ability, memory, and attention. By analyzing specific brainwave patterns associated with each function, the system can independently assess language processing from consciousness state, allowing differentiation between language function disorders and impaired consciousness
Solution Approach 2:
The patent goes beyond traditional speech-based evaluation by measuring multiple cognitive dimensions (language, memory, attention) through brainwaves. This excessive measurement approach provides redundant information that enables differentiation between consciousness state and language function, as each dimension can be assessed independently through neural activity patterns
Data Source
AI summary
One embodiment proposes a brainwave-based cognitive function evaluation method. The brainwave-based cognitive function evaluation method includes deriving a predicted response intended by an evaluation subject based on evaluation data including brainwaves of the evaluation subject for a specific task, generating a response accuracy including voice clarity, whether an answer matches, and answer meaning accuracy based on the predicted response and a preset correct answer for the specific task, and evaluating a cognitive function of the evaluation subject based on the response accuracy.