Collaborative Biosignal Analysis System
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Solution Overview
Problem
Current biosignal technologies fail to capture and analyze cognitive, mental, and affective states of individuals and groups, and lack efficient methods for aggregating and analyzing biosignal data from multiple users for collaborative insights.
Innovation Solution
A system and method for enabling collaborative analysis of biosignal data by collecting bioelectrical signals from users while they perform specific actions, transmitting these datasets to other users or entities, generating analyses, and facilitating communication to facilitate behavior change and mental health insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If biosignal data is collected from multiple users for collaborative analysis, then the quantity and diversity of data increases, but the complexity of data aggregation and transmission increases
Solution Approach 1:
The patent employs an intermediary server or cloud platform that acts as a mediator between multiple users' biosignal devices. This intermediary handles data aggregation, storage, and coordination, thereby reducing the complexity burden on individual user devices while enabling collaborative analysis across multiple participants.
Solution Approach 2:
The system implements a universal data aggregation platform that can handle multiple types of biosignals (EEG, ECG, EMG, GSR) from diverse sources through standardized protocols. This multi-functional approach allows the same infrastructure to serve various research objectives and user groups without requiring separate specialized systems for each biosignal type.
2Speed
If real-time biosignal transmission and analysis is implemented, then the speed of insight generation increases, but the energy consumption and data transmission requirements increase
Solution Approach 1:
The system implements periodic or event-triggered data transmission rather than continuous real-time streaming. Biosignal data is transmitted at intervals or when significant changes occur, which reduces energy consumption and network bandwidth requirements while still enabling timely analysis for behavioral insights and intervention triggers.
Solution Approach 2:
The patent extracts and transmits only relevant features and processed biosignal metrics rather than raw continuous data streams. By performing preliminary processing locally and transmitting only essential information (e.g., detected states, anomaly flags, aggregated statistics), the system maintains fast response capability while significantly reducing transmission energy requirements.
3Measurement precision
If comprehensive biosignal monitoring is performed to capture cognitive and affective states, then the measurement precision of mental states improves, but the difficulty of detecting and measuring these states increases
Solution Approach 1:
The system merges data from multiple biosignal sources (electrical, mechanical, chemical sensors) and combines them with contextual information from digital environments and user inputs. This multi-modal integration approach compensates for the limitations of individual sensors and improves the accuracy of inferring cognitive and affective states despite the inherent difficulty of direct measurement.
Solution Approach 2:
The patent implements feedback loops where biosignal measurements are continuously monitored, analyzed, and used to adjust monitoring parameters or provide real-time interventions. This feedback mechanism refines measurement precision over time by adapting to individual user patterns and improving the system's ability to detect subtle cognitive and affective changes.
Data Source
AI summary
A method and system for enabling collaborative analysis of biosignal data comprising: collecting a bioelectrical signal dataset from a first user; transmitting the bioelectrical signal dataset to a second user; generating an analysis based upon the bioelectrical signal data; transmitting the analysis to at least one of the first user and a third entity; and facilitating a communication, related to the analysis, between at least two of the second user, the first user, and the third entity. The method can further comprise providing a stimulus configured to prompt the action; and providing a modified stimulus to the first user based upon at least one of the analysis and the communication. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.