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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...

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Detaylı Bibliyografya
Asıl Yazarlar: Arjunan, Sridhar Poosapadi, Kumar, Dinesh Kant
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2010
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC2984484/
https://ncbi.nlm.nih.gov/pubmed/20964863
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1743-0003-7-53
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