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Development of an Immersive VR Therapy System with Wearable Biometric Monitoring for Preventive Medical Treatment
  1. case
  2. Development of an Immersive VR Therapy System with Wearable Biometric Monitoring for Preventive Medical Treatment

Development of an Immersive VR Therapy System with Wearable Biometric Monitoring for Preventive Medical Treatment

effectivesoft.com
Medical

Identified Need for Innovative Preventive Care Solutions in Healthcare

The client faces a gap in accessible, effective tools for preventing critical medical conditions such as deep vein thrombosis (DVT). There is a necessity for interventions that can engage high-risk patients through natural movement stimulation and real-time monitoring to reduce health risks and improve treatment engagement both at home and in clinical settings.

About the Client

A mid-sized healthcare technology firm specializing in digital therapeutics and patient monitoring solutions, focusing on preventive care and remote treatment modalities.

Goals for Developing an Immersive VR and Wearable Monitoring Solution

  • Create an immersive virtual reality platform that promotes involuntary muscle contractions to aid in the prevention and treatment of DVT.
  • Integrate biometric sensors within wearable devices to monitor patient activity and physiological responses in real time.
  • Enhance patient engagement and compliance through gamified interactions and natural muscle activation techniques.
  • Enable seamless data collection and reporting to clinical providers for ongoing patient management and treatment adjustment.
  • Develop a scalable and secure system suitable for deployment in both home and hospital environments.

Core Functional Modules for the VR and Wearable Monitoring System

  • A VR application developed using a high-fidelity game engine (e.g., Unreal Engine) that prompts involuntary muscle contractions via simulated rhythmic stimulation.
  • Integration of wearable biometric sensors embedded in an electronic wrap (e-wrap) capable of delivering neuromuscular electrical stimulation (NMES) to activate lower leg muscles.
  • Real-time data collection and visualization dashboard for healthcare providers to monitor patient activity, muscle response, and overall health status.
  • Gamified interface to improve patient engagement, adherence to therapy protocols, and ease of use in various settings.
  • Remote control and adjustment capabilities for healthcare professionals to modify stimulation parameters based on patient progress.

Key Technologies and Architectural Approaches for System Development

Unreal Engine for immersive VR content development
Embedded systems utilizing Arduino or similar microcontrollers for sensor and actuator control
Secure cloud data services for real-time monitoring and data storage
Mobile application development for user interaction and data access on Android platforms
Data analytics tools to process and visualize patient data effectively

Essential Systems and Data Integrations

  • Biometric sensors and neuromuscular electrical stimulation devices
  • Electronic health record (EHR) systems for patient data synchronization
  • Remote monitoring portals for healthcare providers
  • Secure cloud platforms for data storage and real-time updates

Critical System Quality Attributes and Performance Metrics

  • System must support seamless operation across multiple devices with responsive user interfaces.
  • Data security compliant with healthcare standards (e.g., HIPAA).
  • Latency for real-time monitoring and control should be under 200 milliseconds.
  • System scalability to accommodate at least 1,000 concurrent users or patients.
  • High reliability and uptime, aiming for 99.9% system availability.

Projected Outcomes and Benefits of the VR and Wearable Health Monitoring System

The developed system is expected to significantly reduce the risk of DVT in high-risk patient populations by promoting natural muscle activity and providing continuous health monitoring. It aims to increase patient engagement in preventive care, improve clinical oversight via real-time data, and enable effective at-home treatment options, ultimately improving health outcomes and reducing healthcare costs.

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