Multi-User Neurofeedback Training With EEG Feedback Loops
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Solution Overview
Problem
Neurofeedback training for ADHD is challenging due to the need for repeated sessions and lack of adherence, especially in home-based settings, where motivation and support are lacking.
Innovation Solution
A multi-user approach using EEG sensors to collect and compare neuro-response data among participants, affecting their activities in a computer-connected environment to enhance adherence and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If neurofeedback training is conducted through repeated individual sessions, then treatment effectiveness is improved, but adherence and completion rates deteriorate due to lack of motivation and support
Solution Approach 1:
The patent combines multiple users into a single neurofeedback training system, allowing them to interact through a shared virtual environment. Users can see each other's brain wave patterns and work together toward common goals, transforming isolated individual sessions into collaborative group experiences that maintain motivation and improve adherence
Solution Approach 2:
The system implements real-time feedback by displaying each user's neuro-response data and showing how it affects the shared virtual environment. Users receive immediate visual feedback about their brain wave states and the impact of their self-regulation efforts on both individual and group performance, enhancing engagement and persistence
2Ease of operation
If home-based neurofeedback training is provided, then accessibility and convenience are improved, but motivation and support deteriorate without professional supervision
Solution Approach 1:
The system enables users to conduct neurofeedback training independently at home without requiring professional supervision during each session. The automated platform guides users through training protocols, collects neuro-response data, and provides real-time feedback, allowing convenient self-administered treatment while maintaining effectiveness
Solution Approach 2:
By merging multiple users into a collaborative virtual environment, the system creates intrinsic motivation through social interaction and competition. Users are motivated to complete training sessions to achieve group objectives and help teammates succeed, compensating for the absence of professional supervision through peer support and shared goals
3Productivity
If multi-user neurofeedback training is implemented, then adherence and engagement are improved through competitive environments, but system complexity increases
Solution Approach 1:
The system employs a universal platform that handles multiple users, data collection, real-time processing, and feedback delivery through a single integrated architecture. The virtual environment serves multiple functions simultaneously: it displays individual neuro-response data, shows group performance metrics, enables competitive interactions, and provides training guidance, reducing the need for separate specialized systems for each function
Data Source
AI summary
Methods and systems for comparing neuro-response data from a first user and a second user to affect the activity in a computer performed by the first user and the second user.