Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject-Reference-Cited by-同舟云学术

Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject

Published:2016-02-10 Issue:2 Volume:13 Page:026017
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Hotson Guy,McMullen David P,Fifer Matthew S,Johannes Matthew S,Katyal Kapil D,Para Matthew P,Armiger Robert,Anderson William S,Thakor Nitish V,Wester Brock A,Crone Nathan E

Funder

National Institutes of Health

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://stacks.iop.org/1741-2552/13/i=2/a=026017/pdf

Reference56 articles.

1. Decoding flexion of individual fingers using electrocorticographic signals in humans

2. Decoding Individuated Finger Movements Using Volume-Constrained Neuronal Ensembles in the M1 Hand Area

3. Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements

4. Decoding Finger Movements from ECoG Signals Using Switching Linear Models

5. Decoding Finger Flexion from Band-Specific ECoG Signals in Humans

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