This sounds like an innovative approach ... but I thought there were prohibitions against automated delivery of medications from such systems. Don't even insulin pumps for diabetes still require human confirmation of the blood sugar reading to prevent system malfunctions from automatically triggering greater problems?
Wish these guys the very best of luck. Technology is certainly ready to deliver and what we need most is closer collaboration between engineers, neuro-scientists and clinicians.
PS. I wonder if Deep Brain Stimulation (DBS) can be controlled using a similar sensor mechanism? That would take the application beyond Parkinson's Disease e.g. to distonia, dementia etc.
It seems to be for the brain , like a pacemaker to the heart. This attempt seems that it will give the doctors and bionics people a lot of new information.When they are compiled a clear path may be seen to treat Parkinson's.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.