Excerpt:
How integrated biomechanical modeling, embedded systems, and adaptive signal processing form a unified control architecture.
Content:
Introduction
Modern upper limb prosthetics require more than signal detection.
They require a cohesive control architecture capable of translating human intention into fluid mechanical response.
Our hybrid control architecture integrates multiple subsystems into a synchronized platform.
Multi-Layer System Design
The architecture is structured in three coordinated layers:
- Signal Acquisition Layer
Captures EMG input and auxiliary sensor data. - Processing & Fusion Layer
Applies filtering, normalization, and sensor fusion techniques to reduce noise and enhance reliability. - Embedded Control Layer
Executes real-time motion decisions with minimal latency.
This layered structure allows modular updates without redesigning the entire system.
Why Hybrid Matters
Pure EMG-based systems often struggle with variability.
Pure rule-based control lacks adaptability.
Hybrid control combines deterministic stability with adaptive intelligence, enabling:
- Improved signal robustness
- Reduced false activations
- Smooth transition between motion states
- Consistent performance across users
Clinical Relevance
The architecture is designed for:
- Integration with commercial prosthetic hardware
- Clinical testing environments
- Long-term usability studies
By structuring the system modularly, we support scalable deployment.
Conclusion
Hybrid control is not a single algorithm.
It is a structured ecosystem that balances stability, adaptability, and real-time performance.