Classification of hand grasp kinetics and types using movement-related cortical potentials and EEG rhythms

Mads Jochumsen, Cecilie Rovsing, Helene Rovsing, Imran Khan Niazi, Kim Dremstrup, Ernest Nlandu Kamavuako

Research output: Contribution to journalJournal articleResearchpeer-review

118 Downloads (Pure)
Original languageEnglish
Article number7470864
JournalComputational Intelligence and Neuroscience
Volume2017
Number of pages10
ISSN1687-5265
DOIs
Publication statusPublished - 2017

Cite this

@article{677e24ecb2104cefad2b6b33ada37d0f,
title = "Classification of hand grasp kinetics and types using movement-related cortical potentials and EEG rhythms",
author = "Mads Jochumsen and Cecilie Rovsing and Helene Rovsing and Niazi, {Imran Khan} and Kim Dremstrup and Kamavuako, {Ernest Nlandu}",
year = "2017",
doi = "10.1155/2017/7470864",
language = "English",
volume = "2017",
journal = "Computational Intelligence and Neuroscience",
issn = "1687-5265",
publisher = "Hindawi Publishing Corporation",

}

Classification of hand grasp kinetics and types using movement-related cortical potentials and EEG rhythms. / Jochumsen, Mads; Rovsing, Cecilie; Rovsing, Helene; Niazi, Imran Khan; Dremstrup, Kim; Kamavuako, Ernest Nlandu.

In: Computational Intelligence and Neuroscience, Vol. 2017, 7470864, 2017.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Classification of hand grasp kinetics and types using movement-related cortical potentials and EEG rhythms

AU - Jochumsen, Mads

AU - Rovsing, Cecilie

AU - Rovsing, Helene

AU - Niazi, Imran Khan

AU - Dremstrup, Kim

AU - Kamavuako, Ernest Nlandu

PY - 2017

Y1 - 2017

U2 - 10.1155/2017/7470864

DO - 10.1155/2017/7470864

M3 - Journal article

VL - 2017

JO - Computational Intelligence and Neuroscience

JF - Computational Intelligence and Neuroscience

SN - 1687-5265

M1 - 7470864

ER -