Group Biofeedback Training Prescriptions for Objective Multi-User Evaluation
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Solution Overview
Problem
Conventional biofeedback systems lack functionality for real-time communication among multiple users, lack training strategies or interaction modes for group collaboration, and lack objective evaluation standards, leading to subjective assessment and repetitive training without standardized procedures.
Innovation Solution
A multi-parameter group biofeedback training system with a training management module that includes predetermined training programs and prescriptions, user and group management modules, and interactive settings, enabling real-time data collection and generation of standardized training reports using visualization charts and algorithm models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional biofeedback systems support only single-user operation, then system complexity is reduced, but functionality for real-time communication among multiple users and group collaboration is lost
Solution Approach 1:
The system enables a single biofeedback platform to serve both individual and group training functions simultaneously. The training management module can configure different training scenarios (individual or group) based on needs, allowing the system to adapt its functionality without requiring separate dedicated systems for single-user and multi-user operations.
Solution Approach 2:
The system architecture segments user management and training configuration into modular components. The training management module independently handles user grouping, scenario configuration, and parameter settings, allowing complex multi-user functionality to be managed through organized, discrete functional blocks rather than monolithic system design.
2Measurement precision
If subjective assessment by medical practitioners is used, then flexibility in evaluation is maintained, but objectivity and quantification of training effectiveness are compromised
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor training parameters, physiological data, and performance metrics. The training management module compares actual training results against preset standards and automatically generates objective evaluation reports, replacing subjective practitioner assessment with data-driven feedback loops that quantify training effectiveness.
Solution Approach 2:
The system enables automated self-evaluation where the biofeedback platform independently assesses training effectiveness without requiring external medical practitioner intervention. The system automatically processes training data, applies evaluation criteria, and generates reports, allowing the evaluation function to serve itself rather than relying on external human assessment.
3Adaptability or versatility
If training programs are customized for each individual, then training effectiveness is improved, but standardization and repeatability of training procedures are reduced
Solution Approach 1:
The system implements dynamic training program configuration where the training management module can adjust program parameters, scenarios, and prescriptions based on individual user needs while maintaining a standardized framework. The system allows real-time modification of training parameters within preset boundaries, enabling personalized adaptation without completely deviating from standardized procedural structures.
Solution Approach 2:
The system applies different levels of customization at appropriate scopes: standardized protocols and evaluation criteria are maintained at the system level, while individual user profiles and specific training parameters can be locally adjusted. This allows personalization where it matters (individual training parameters) while preserving standardization where it provides value (evaluation frameworks and procedural structures).
Data Source
AI summary
Provided are a multi-parameter group biofeedback training method, apparatus, and system, and a storage medium. The method includes: receiving a predetermined training program and a predetermined training prescription that are set in a training management module, the training program being a combination of individual trainings, and the training prescription being a combination of long-term, time-sequenced phased trainings or training programs; and presenting the training scenario to a subject based on the training or the training prescription to execute the training, and collecting in real-time physiological data and/or target indicator data selected for the training. The training prescription includes predetermined training programs for a plurality of phases and a transition rule between the training programs for the plurality of phases. The training program includes one or more training tasks in a predetermined execution sequence. Each training task has a corresponding training scenario.