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Peter Wells Memorial Lecture - continue the discussion here!

Gemma Hadley
Huge thanks to Dr Kia Nazarpour for his fantastic presentation on 'The Ups and Downs of Machine learning for Prosthetic Control.'


If you missed the webinar you'll be able to catch up On Demand very soon.


It was clearly a very interesting topic for lots of you as we received a huge number of questions! Unfortunately we were unable to get through all of them but Kia is hoping to follow up on these and will respond below so please keep an eye out here. :)
  • 0
    Richard commented -


    PIADS: Psycho-social impact of assistive devices scale would be a good way to evaluate usefulness to a client within a family environment
  • 0
    Martin asked - 


    Is there a chance that Elon Musk's Brain Link project could change the way of controlling the limbs?
  • 0
    Josh asked - 


    Does the machine learning model deal with task identification, then translating into some trajectory or force for input into say a PID controller or is it possible to eliminate the PID control completely?
  • 0
    Saeed asked - 


    Would it be safe for driving or operating delicate machinery unless connected directly to nerve system?
  • 0
    Bálint asked - 


    What's your opinion on prosthetic AI training/performance evaluation in virtual physics simulations? Are they a useful valid way of circumventing limitations in conducting experiments? Or are they not accurate/reliable enough?
  • 0
    Vincent asked - 


    Do you anticipate extracting common learning across patients that might save training time in the future?
  • 0
    Kenneth asked -


    Is it possible that in the future implanted miniature devices attached to the nerve will provide more accurate signals than external electrodes and thus more accurate information to control the prosthesis?
  • 0
    Saeed asked - 


    Can you mention the status of Osseointegration and direct TMR with AI?

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