Brainwave-Based Pain Pleasantness Discrimination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies fail to effectively differentiate between comfortable and unpleasant sensations, such as pain, as they are often expressed as unidirectional vectors, making it difficult to distinguish between pleasant and unpleasant pain, which is crucial for personalized therapy and treatment.
Innovation Solution
A method involving the analysis of brainwave data from the same stimulation applied under different environments to determine the pleasantness or unpleasantness of sensations, using techniques like support vector machine recursive feature elimination and sigmoid fitting to identify distinct brainwave features associated with different levels of pain or stress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensation is expressed as a unidirectional vector, then the measurement is simple, but the ability to differentiate pleasantness/unpleasantness is lost
Solution Approach 1:
The patent transforms the unidirectional sensation vector into a two-dimensional space by introducing a second component that captures pleasantness/unpleasantness information. This dimensional expansion allows simultaneous measurement of both sensation intensity and affective quality, resolving the contradiction between measurement simplicity and differentiation accuracy.
Solution Approach 2:
The patent segments the sensation evaluation into distinct components: one for intensity and another for pleasantness/unpleasantness. By dividing the evaluation into separate measurable dimensions, the system achieves both operational simplicity and precise differentiation of sensory qualities.
2Measurement precision
If brainwave data is collected under multiple environments, then the differentiation accuracy improves, but the complexity of the determination device increases
Solution Approach 1:
The patent performs preliminary data collection and processing by gathering brainwave data under multiple environments in advance and pre-processing it to extract relevant features. This preliminary action reduces the complexity of the final determination device, as the heavy lifting of data acquisition and initial analysis has already been completed.
Solution Approach 2:
The patent creates simplified models or representations of the complex brainwave data collected under multiple environments. By copying essential patterns and features rather than processing raw data, the determination device achieves high differentiation accuracy with reduced complexity.
Data Source
AI summary
The computer implemented method makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. A classifier is generated for discerning the stress or comfort/discomfort of a subject. The method comprising: a) imparting, to a subject, different stimuli under the same environment, and obtaining brain wave data or analysis data thereof for the environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the environment; c) generating a classifier for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.