[AMP-L] New Type of Hand Prosthesis Learns From the User

[Wayne Renardson]

via Medical XPress:

Aalto University doctoral candidate Dennis Yeung and his research 
group have developed and tested a new type of technology that enables 
better compatibility between a prosthesis and the amputated area. The 
study was conducted in cooperation with HUS (Helsinki University 
Hospital) and Imperial College London.  

People whose upper limb has been amputated can control the robotic 
prosthesis by contracting their remaining muscles. The connection 
where a prosthesis detects electrical signals produced by the muscle is 
known as a myoelectric interface. The most advanced prostheses use 
machine learning algorithms that help interpret these user-generated 
signals. However, such connections are often very sensitive to external 
factors, such as sweating, and become weaker over time. To solve this 
problem, the research community has proposed various algorithms that  
could better adapt to changing circumstances.

The rest of the story, with photo, here:

https://tinyurl.com/y9xclgpr

with link to:

Major gains still to be made in quality of arm prostheses

Wayne R.