60% reduction in athlete recovery time through AI-powered muscle signal analysis
Oro Muscles
Oro Muscles is a healthcare startup focusing on athletic rehabilitation and muscle health monitoring. The client aimed to revolutionize the way athletes recover from injuries by combining cutting-edge AI algorithms with digital health solutions.
Challenges
Combine AI-driven EMG analysis with digital health solutions to enable faster, more precise recovery pathways for professional and semi-professional athletes.
The problem can be specified through the following points:
- No real-time and objective feedback on muscle recovery progress
- Inefficient recovery analysis extends rehabilitation timelines
- Existing digital ecosystem was fragmented: no centralized data, delayed feedback
- Limited cross-device usability for athletes, coaches, and healthcare professionals
- Poor scalability to support professional sports organizations
The main goal was to convert noisy, variable muscle electrical activity into clinically actionable recovery insights that coaches and rehabilitation professionals can trust and act on immediately.
Signal Type
Electromyography (EMG) Signals.
The core innovation revolved around advanced EMG signal acquisition and interpretation, both on edge and in the cloud.
EMG signals can be very challenging to process reliably because raw data can:
- Be noisy and complex
- Be highly sensitive to movement artifacts
- Depend on real-time responsiveness
What We Built - The Signal-to-Insight Pipeline
1. EMG Signal Capture
Clients' wearable sensors capture raw electrical muscle activity during rehabilitation sessions. The system handles multi-channel EMG acquisition with configurable sampling rates optimized for the target muscle groups.
2. Edge and Cloud AI Processing
Our custom EMG analysis model processes signals through adaptive noise filtering, movement artifact rejection, and feature extraction. The AI identifies patterns in muscle activation, fatigue levels, and recovery trajectories. Processing runs both on-device (edge) for real-time feedback and in the cloud for deep longitudinal analysis.
3. Real-Time Insight Distribution
Processed insights are pushed simultaneously to the iOS application and web platform. Athletes see their muscle activation in real time. Coaches and rehabilitation professionals receive automated recovery assessments, progress tracking, and flagged anomalies.
4. Central Resource Hub
All data, treatment recommendations, and educational content are stored in a centralized hub. This serves as the single source of truth across the rehabilitation journey, enabling seamless collaboration between athletes, coaches, and medical staff.
Results
Beyond the AI pipeline, Rubix Code rebuilt the entire digital ecosystem: the iOS application was stripped back and rebuilt for speed and clinical usability, the web platform was optimized for healthcare professional workflows, and the Central Resource Hub was created to unify data, insights, and protocols across all stakeholders.
Main achievements:
- 60% reduction in athlete recovery time
- Real-time EMG-based muscle activation feedback during rehabilitation sessions
- Multi-platform seamless experience across iOS, Web, and Central Resource Hub
- Scalable architecture ready for professional sports organization deployment
Client Quote
Travis Stallings, Chief Operating Officer, Oro Muscles
Working with Rubix Code transformed our product's digital ecosystem. The EMG analysis gave our athletes and coaches something that makes a difference in their job: real-time, objective feedback on muscle memory!