Portable Biosignal Detector for Cognitive State Analysis
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Solution Overview
Problem
Current biosignal technologies fail to capture and analyze cognitive, mental, and affective states of individuals, limiting their ability to provide insights for improving user experiences and behaviors, and lack efficient methods for collecting and aggregating biosignal data from multiple users.
Innovation Solution
A system and method that collects bioelectrical signal datasets, generates analyses based on these data, and provides behavior change suggestions to users, utilizing EEG data and other biosignals to facilitate changes in cognitive, mental, and physical well-being, both individually and collectively, through a portable biosignal detector and processor system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If contemporary sensors and data collection methods are used, then physical and digital data can be captured, but cognitive, mental, and affective states cannot be captured
Solution Approach 1:
The system employs a portable biosignal detector capable of capturing multiple types of biosignals (EEG, ECG, GSR, temperature) through a single integrated device, enabling universal data collection across physical, cognitive, and affective domains without requiring separate specialized equipment for each measurement type
2Quantity of substance
If biosignal data is collected from multiple users, then aggregate insights can be obtained, but efficient collection and aggregation methods are lacking
Solution Approach 1:
The system uses portable biosignal detectors that can be distributed to multiple users, creating copies of the measurement capability across different individuals. Each device independently collects and stores biosignal data locally, enabling parallel data acquisition without requiring centralized real-time connection, thus improving collection efficiency while maintaining data quality
3Reliability
If behavior change suggestions are provided based on biosignal analysis, then user well-being can be improved, but clinical environment dependency limits accessibility
Solution Approach 1:
The system enables users to independently collect their own biosignal data using portable detectors, automatically analyze the data through integrated processing algorithms, and receive personalized behavior change suggestions without requiring clinical staff intervention. The device performs measurement, analysis, and feedback delivery autonomously, making professional-grade biosignal monitoring accessible in everyday environments
Data Source
AI summary
A method and system for instructing a user behavior change comprising: collecting a first and a second bioelectrical signal dataset; generating an analysis based upon the first and the second bioelectrical signal datasets; and providing a behavior change suggestion to the user based upon the analysis. The method can further comprise collecting a third bioelectrical signal dataset associated with a performance of an action by the user in response to the behavior change suggestion; generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets; providing a stimulus configured to prompt an action by the user; and providing at least one of the analysis and an analysis based upon the adherence metric to the user. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.