Pelvic Floor Training Device with VR Feedback and Blockchain Security
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Solution Overview
Problem
Conventional Kegel exercise training devices lack engagement and feedback, failing to maintain user interest and effectiveness due to their lack of sensory interaction and social elements, which are essential for emotional and therapeutic motivation.
Innovation Solution
A pelvic floor muscle training device and system that incorporates a sheet-shaped design with sensors and a VR interface, allowing users to dynamically visualize, hear, and feel their training progress, utilizing blockchain for secure data sharing and collaboration, enhancing user engagement and training outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional Kegel exercise training devices are used, then basic muscle training function is provided, but user engagement and training effectiveness deteriorate due to lack of sensory interaction and feedback
Solution Approach 1:
The patent implements multiple feedback mechanisms including visual feedback through VR headsets displaying real-time muscle contraction visuals, auditory feedback through spatial audio cues indicating muscle engagement quality, and haptic feedback through vibration motors providing tactile confirmation of correct exercise execution. This multi-sensory feedback loop significantly improves user engagement and training effectiveness by making invisible muscle movements perceptible and rewarding
Solution Approach 2:
The system introduces a smartphone application as an intermediary that coordinates between the pelvic floor device, VR headset, and audio system. The app processes sensor data, generates real-time visualizations, manages gamified training programs, and provides social connectivity features, thereby integrating multiple components into a cohesive engaging experience that maintains user motivation
2Ease of manufacture
If Kegel exercise is performed without instrument assistance, then simplicity is maintained, but training motivation and sustained adherence deteriorate due to lack of sensory feedback
Solution Approach 1:
The VR headset displays utilize color-coded visual feedback to indicate muscle engagement quality and training progress. Different colors represent different levels of muscle contraction intensity and correctness, providing intuitive real-time guidance that helps users understand their performance without complex instrumentation, thereby maintaining simplicity while enhancing motivation and adherence
Solution Approach 2:
The system implements periodic training programs with scheduled exercise sessions, rest periods, and progressive difficulty increases. The gamified approach includes time-limited challenges, daily goals, and periodic achievement milestones that create a structured routine, encouraging sustained adherence while maintaining operational simplicity through automated program management
3Ease of operation
If multiple sensors and VR components are integrated, then user engagement and real-time feedback are improved, but device complexity increases
Solution Approach 1:
The smartphone application serves as a universal control platform that manages multiple functions including sensor data acquisition, VR headset coordination, audio output control, haptic feedback management, and social connectivity. By consolidating these diverse functions into a single multi-functional app, the system reduces overall complexity while maintaining high user engagement through integrated multi-sensory feedback
Solution Approach 2:
The smartphone acts as an intermediary device that simplifies the interface between users and the complex multi-component system. The app abstracts complex sensor data into intuitive visualizations, manages communication between disparate hardware components, and provides a user-friendly interface, thereby enabling high user engagement without exposing users to underlying system complexity
4Adaptability or versatility
If personal health data is collected and shared, then training personalization and social interaction are enhanced, but data security and privacy protection face challenges
Solution Approach 1:
The system extracts and processes only essential training-related data (muscle contraction patterns, exercise performance metrics) while excluding sensitive personal information. Data is anonymized and aggregated for social comparison features, separating necessary training personalization data from sensitive personal health information, thereby enabling personalized training while maintaining data security through selective data extraction and privacy-preserving processing
Data Source
AI summary
A pelvic floor muscle training device and system include a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and a few application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.