COAPT Gen 2 Complete Control System
COAPT’s Gen2 intuitive myoelectric control system is revolutionising the possibilities for upper limb amputees.
The COMPLETE CONTROL System Gen2 is an advanced control solution designed to provide the functionality of a powered upper limb prosthesis. COMPLETE CONTROL employs pattern recognition technology to revolutionise the way muscles’ bioelectrical activity (electromyogram, EMG) signals are used to control a prosthesis.
With COMPLETE CONTROL, users can achieve control of their devices, eliminate control switching, and benefit from quick and powerful recalibration.
COMPLETE CONTROL simplifies electrode placement and allows prosthetists to spend less time adjusting system settings and configurations.
The COMPLETE CONTROL System Gen2 is designed to work seamlessly with most major manufacturers’ devices as an easy plug-and-play add-on (for a list of compatible devices and electrodes, see documentation below). COMPLETE CONTROL does not require an additional battery.
What is Pattern Recognition?
Multiple muscles work together each time we move our arms and hands. The contractions of these muscles create a pattern of activity that is unique to each movement. For example, the pattern of forearm muscle activity for hand opening is different than the pattern for hand closing. Electrodes placed on the skin over multiple muscle areas (which we often call “control sites”) can detect these overall patterns of activity.
How is Pattern Recognition an improvement over standard myoelectric prosthesis control?
Muscle signals contain a lot of information. Pattern recognition uses the combined information gathered from all electrodes to control multiple prosthesis movements. In contrast, standard myoelectric control only considers the signal level from one electrode to control each prosthesis movement. In other words, standard myoelectric control is like listening to music and only knowing how loud the sound is, while pattern recognition is like hearing what song is playing.
Key Benefits of Pattern Recognition over Standard Myoelectric Control
Control Motions are Intuitive
With standard myoelectric control, users are often required to make non-intuitive contractions to command prosthesis actions. A good example of this is using wrist extension and flexion contractions to command a prosthetic hand to open and close. With pattern recognition, natural intuitive control is possible: hand open and close contractions will control the prosthetic hand, and wrist contractions will control the prosthetic wrist.
Mode Switching is Eliminated
With standard myoelectric control, muscle control sites are limited because of the need for signal isolation. This typically means fewer control sites are available than the desired prosthesis functions and users have to use “switches” to cycle between prosthesis functions. Examples include using co-contractions of two control signals to toggle between hand and wrist control or a physical/electrical switch the user must activate with another movement of their body. With pattern recognition, users can directly control each of their prosthesis’s motions without cumbersome and non-intuitive switching
Strong Muscle Contractions are Not Required
Pattern recognition has the advantage of being able to utilize low-intensity muscle contractions as needed. This is beneficial for standard myoelectric control users who were required to elicit strong control contractions that tire them out quickly.
Enhanced Proportional Control
Because of the difficulty of isolating control sites with standard myoelectric control, much of a user’s ability to modulate the intensity of their prosthesis’s motor speed is often tuned out of the system. With pattern recognition, the system can take full advantage of the user’s ability and relates a wide range of the muscle contraction intensities to prosthesis speeds.
Simplified Electrode Placement
With pattern recognition, there is much less need to search for, or precisely place control site electrodes over exact muscle locations. This means less time is spent myotesting for isolated signals; clinicians have freedom to place electrodes in socket areas that promote fit and comfort; clinicians can use sockets/liners that may be positioned differently upon each donning; the system is forgiving of changes due to muscle fatigue; and many other benefits. With less time spent in the clinic searching for the muscle control sites, time available for in-clinic functional practice with the prosthesis is increased – thus helping users accept their prosthesis for increased at-home use.
With standard myoelectric control, changes in socket fit, user skin condition, fatigue, mental state, battery health, and many other factors can diminish the user’s function with their prosthesis. For many of these issues a repair visit or call to a prosthetist is necessary, often resulting in time-consuming prosthesis adjustments and software resetting. With pattern recognition, the control can adapt to changing conditions (such as those listed above and many more) by means of re-calibration that the user can do quickly and efficiently as needed – without travel and time with their clinician.
For more information on the COAPT Gen 2 Complete Control system, contact us today:
Ph: 1300 866 275