We have our own proprietary data sets gathered from pre-clinical trials. As part of our research, we are exploring how we can understand nerve signals in the limbs and interpret movements through machine learning and AI. We are applying these methods to autonomic nervous signals to learn about general health patterns and abnormalities.
With our team of data scientists and machine learning researchers, we are learning how to interpret how the nervous system behaves and expanding our understanding of which conditions can be effectively treated. This is a significant contribution to an emerging field of neural engineering for medicine, and opens a new route into bioelectronics medicines.
At NIPS 2017, we presented our research and first CNN SWANnet in conjunction with researchers from the University of Cambridge and Queen Mary University.
If you are interested in partnering with us or accessing these datasets, please email us at email@example.com.
PID – USB CONNECTOR FOR THE BODY
The holy grail of prosthetics has always been to connect directly with the nervous system. When we think about a bionic hand, it is just a machine until it connects with our bodies and becomes a part of us. The Prosthetic Interface Device (PID), is like a “USB connector for the body” that integrates with a limb through direct implantation into the bone (osseointegration) and electronic connection with the nerves.
By integrating directly with the limb, the PID dramatically improves the functionality and comfort of using prosthetics for patients who have lost their limbs. Osseointegration relieves pressure on the soft tissue, and therefore relieves pain. Integration with the nerves gives full functionality through conscious control of the prosthetic limb and allows sensation to be fed back to the brain. The PID will be the most advanced connector for prosthetics on the market, but will be six times cheaper than current solutions which require custom-made sockets and constant care.
Bionics and bioelectronics medicine will require a new format for patients and clinicians to understand their health. We are creating a system that allows patients and clinicians to visualise their health data, from both bionic implants and external tracking devices, to share objective measurements. This allows clinicians to have more accurate and detailed insights into patient health over the long term, and empowers patients to understand their health in a more detailed way.
We will soon be testing our orthotic and prosthetic software platform for patients and clinicians. If you would like to be involved in the trial, please contact us at firstname.lastname@example.org.