The DLMA™
The thinking part of the RHEO KNEE® – its unique form of artificial intelligence (AI) – is called the Dynamic Learning Matrix Algorithm (DLMA). It learns the individual’s personal walking style, continuously monitoring and optimizing swing control over time. Although this represents advanced AI in action, the device’s “plug and play” design ensures set-up is easy and straightforward.
From the moment the first step is taken, the DLMA process information gleaned by the sensors to work out what type of terrain the user is walking on and what degree of knee motion is required. It updates resistance values constantly to limit or promote heel rise depending on the walking speed. Whether it is small steps in a crowded restaurant or rapidly crossing a busy intersection, movement is matched consistently and accurately.
Watching over the user’s every step, the ‘brain’ of the knee never stops studying the ever-changing walking characteristics exhibited by the amputee. And as fast as it comprehends the detail of every situation it directs the actuator technology to provide the best possible function, motion that reflects the user’s walking profile more closely than ever before.