Robotic leg control with EMG decoding in an amputee with nerve transfers.
N Engl J Med
; 369(13): 1237-42, 2013 Sep 26.
Article
em En
| MEDLINE
| ID: mdl-24066744
ABSTRACT
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 pattern-recognition 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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Membros Artificiais
/
Robótica
/
Transferência de Nervo
/
Caminhada
/
Músculo Esquelético
/
Eletromiografia
/
Perna (Membro)
Limite:
Adult
/
Humans
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article