Pattern Recognition Control
A prosthetic control strategy that uses machine-learning algorithms to interpret multiple EMG signals simultaneously, enabling more intuitive limb movement.
Full Definition
Pattern recognition control is an advanced myoelectric prosthesis control method in which surface electromyography signals from multiple muscle sites are processed by machine-learning software to identify distinct muscle contraction patterns corresponding to intended limb movements. Unlike conventional two-site myoelectric control, pattern recognition allows a greater variety of grip patterns and movements without requiring the user to isolate individual muscles. Editors should note that the term appears hyphenated and unhyphenated across sources; the hyphenated form 'pattern-recognition control' is preferred as a compound modifier before a noun. This technology is commonly mentioned in device funding requests and clinical trial reports, and should not be confused with EMG biofeedback.
Usage
Usage note: Hyphenate as 'pattern-recognition control' when used as a compound modifier before a noun ('pattern-recognition control system'); no hyphen when used predicatively.
In Context
- "The clinic's funding request highlighted the patient's suitability for a pattern-recognition control system." — Insurance pre-authorisation letter
- "Pattern recognition control requires careful electrode placement and regular classifier retraining." — Clinical training manual