Robotic Leg Control with EMG Decoding in an Amputee with Nerve Transfers
From: New England Journal of Medicine - 09/26/2013

The clinical application of robotic technology to powered prosthetic knees
and ankles is limited by the lack of a robust control strategy. We found that
the use of electromyographic (EMG) signals from natively innervated and
surgically reinnervated residual thigh muscles in a patient who had undergone
knee amputation improved control of a robotic leg prosthesis. EMG signals
were decoded with a patternrecognition algorithm and combined with data from
sensors on the prosthesis to interpret the patient’s intended movements. This
provided robust and intuitive control of ambulation - with seamless
transitions between walking on level ground, stairs, and ramps - and of the
ability to reposition the leg while the patient was seated.

Read the entire article at:
http://www.nejm.org/doi/full/10.1056/NEJMoa1300126

Submitted by Drew Nelson