Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors

BACKGROUND: Identifying finger and wrist flexion based actions using a single channel surface electromyogram (sEMG) can lead to a number of applications such as sEMG based controllers for near elbow amputees, human computer interface (HCI) devices for elderly and for defence personnel. These are cur...

Descripción completa

Detalles Bibliográficos
Autores principales: Arjunan, Sridhar Poosapadi, Kumar, Dinesh Kant
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984484/
https://www.ncbi.nlm.nih.gov/pubmed/20964863
http://dx.doi.org/10.1186/1743-0003-7-53

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984484/
https://www.ncbi.nlm.nih.gov/pubmed/20964863
http://dx.doi.org/10.1186/1743-0003-7-53

Ejemplares similares