EMDR Therapy Assistant

EMDR therapy assistant that immerses users in a soothing, interactive environment while leveraging Muse S to monitor brainwave activity and provide real-time feedback for therapists.

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Inspiration

The goal of this project is to enhance EMDR therapy by integrating real-time EEG feedback into a web application, offering therapists an accessible and adaptive way to support patients. Traditional EMDR uses bilateral stimulation (BLS) to process traumatic memories. By leveraging the Muse S EEG headband, our system allows therapists to monitor brain activity and dynamically adjust stimuli, making the therapy more personalized and effective.

What It Does

This web-based system supports EMDR therapy by integrating real-time brainwave monitoring, video broadcasting, and audio control for therapists. Therapists can view live trendlines of EEG data (e.g., stress, relaxation, focus levels) through the web application, adjust audio-visual stimuli, and broadcast sessions directly to patients. The system enables therapists to follow EMDR protocols while using brainwave data to optimize the patient experience and monitor progress.

How We Built It

  1. Hardware:

    • Muse S EEG Headband: Captures and transmits real-time brainwave data to the web application.

  2. Web Application:

    • Frontend (React): Displays EEG trendlines and provides controls for audio, video, and session settings.
    • Backend (Flask): Processes EEG data, manages real-time connections, and handles video/audio streaming to patients.
    • Data Visualization (react-plotly.js): Graphs and trendlines show EEG signals for therapists.
    • Video Player: Enables real-time broadcasting of video and audio to patients.

  3. Data Processing:

    • Muse SDK: Collects and processes raw EEG data to extract meaningful insights like relaxation and focus metrics.
    • Adaptive Algorithms: Analyze EEG trends in real-time to guide therapists in optimizing the session.

  4. Therapeutic Features:

    • Guided session controls allow therapists to adjust visual or auditory stimuli in real-time based on brainwave data.

Challenges We Ran Into

  1. EEG Data Integration: Ensuring real-time brainwave data was accurate and updated seamlessly on the web application.
  2. Video Streaming: Implementing low-latency video and audio streaming for effective communication.
  3. User Experience: Designing an intuitive interface for therapists to monitor brainwave data while managing session controls.
  4. System Synchronization: Maintaining a smooth flow between EEG data visualization, stimuli adjustments, and video broadcasting.

Accomplishments We're Proud Of

  1. Real-Time EEG Data Visualization: Trendlines and metrics allow therapists to monitor patients' emotional states during sessions.
  2. Seamless Audio-Visual Control: Therapists can dynamically adjust the audio and video stimuli for patients with minimal latency.
  3. Enhanced Accessibility: By transitioning from VR to a web-based platform, we’ve made the solution more accessible for therapists and patients.
  4. Integrated Feedback System: Therapists receive actionable insights into brainwave activity, enabling more targeted interventions.

What We Learned

  1. Real-Time Feedback Matters: Immediate insights into brain activity enhance the therapy's personalization and effectiveness.
  2. Ease of Use is Critical: Simplified controls and clear visualizations improve the experience for therapists managing sessions.
  3. Flexibility in Approach: Pivoting from VR to a web application broadened accessibility without compromising the core therapeutic goals.

What's Next

  1. AI-Driven Insights: Introducing machine learning models to analyze EEG trends and suggest optimal adjustments during therapy.
  2. Therapist Dashboard Enhancements: Adding detailed session history and progress tracking for better long-term monitoring.
  3. Multimedia Options: Incorporating more diverse visual and auditory stimuli to suit a wider range of patient needs.
  4. Remote Therapy Support: Enabling therapists to conduct sessions remotely while monitoring patients’ EEG data in real-time.

This project redefines EMDR therapy by integrating EEG data and web-based controls, empowering therapists with tools to deliver personalized, effective, and accessible care.

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