Pattern Recognition
Pattern Recognition offers intuitive and simultaneous control of the prosthesis with multiple degrees of freedom. Pattern Recognition technology identifies the muscle pattern generated when the user makes a particular movement and when that pattern occurs, the prosthesis makes the intended movement. There are several pattern recognition technologies available.
The Coapt Complete Control™ Pattern Recognition system is an advanced control solution designed to enhance the functionality of a powered myoelectric prosthesis for upper-limb amputees. Complete Control uses a proprietary, clinically practical version of pattern recognition technology in a small electronic circuit board to non-invasively acquire and translate information from muscle signals. For example, when the muscles signal “hand open” or “hand close,” that is what the prosthesis will do. In contrast, standard myoelectric control only considers the signal level from one electrode, and patients are often required to make non-intuitive contractions to command prosthesis actions – such as using wrist extension and flexion contractions to command a prosthetic hand to open and close.
Coapt Gen2 is the latest upgrade to the Complete Control product line. New features include: Control Coach, a powerful A.I. companion that supervises and notifies; helping users continuously improve while they wear and use their prosthesis; Adaptive Advance allows users’ new muscle signal patterns to adapt their control system continuously; Single Motion Fixing: Quickly address one challenging motion without needing to re-calibrate everything; Calibration Undos takes a safe step back if a new calibration wasn’t as expected;. Calibration Restore Points: Save and recall favorite times of great control. Other new features include a 60% less power demand Slim and conformable design, and Compatible with even more prosthetic components than before
Sense Infinite Biomedical is another technology company that also offers pattern recognition. With up to eight electrodes in one prosthesis, the patient has free range to go into any grip desired with no need to cycle through other trips. Sense comes with a comprehensive Windows app for training. Including virtual arm testing. The virtual training system allows patients to experience prosthesis control from day one and can train with this system to gain better control of their actual prosthesis. Included are a series of game-based levels and performance tracking to provide a fun and realistic environment for pattern recognition training.
MyoPlus Ottobock Pattern Recognition System uses artificial intelligence with EMG signals to adapt to patient’s natural movements versus requiring the user to adapt to the system. MyoPlus employs up to 18 sensors enabling multiple muscle signals to be captured as unique movement patterns, each individually assigned to control various functions of the prosthesis. The patented Spider Plot feature, a graphic representation of muscle patterns, is one of the system’s most unique and valued features. Via the Myo Plus app, the patient and practitioners can watch live as the muscle patterns are displayed on a graph shaped like a spider web. This visual feedback was designed to make the programming process simple and interactive for both the patient and prosthetist.