Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Medical & Biological Engineering & Computing
Volume	54
Issue number	10
Pages (from-to)	1491-1501
ISSN	0140-0118
DOIs	https://doi.org/10.1007/s11517-015-1421-5
Publication status	Published - 2016

Cite this

@article{85b3874aa77d4fd3aa9fe2ceb2403cb4,

title = "Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation",

author = "Mads Jochumsen and Niazi, {Imran Khan} and Kim Dremstrup and Kamavuako, {Ernest Nlandu}",

year = "2016",

doi = "10.1007/s11517-015-1421-5",

language = "English",

volume = "54",

pages = "1491--1501",

journal = "Medical & Biological Engineering & Computing",

issn = "0140-0118",

publisher = "Physica-Verlag",

number = "10",

}

Research output: Contribution to journal › Journal article › Research › peer-review

TY - JOUR

T1 - Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation

AU - Jochumsen, Mads

AU - Niazi, Imran Khan

AU - Dremstrup, Kim

AU - Kamavuako, Ernest Nlandu

PY - 2016

Y1 - 2016

U2 - 10.1007/s11517-015-1421-5

DO - 10.1007/s11517-015-1421-5

M3 - Journal article

VL - 54

SP - 1491

EP - 1501

JO - Medical & Biological Engineering & Computing

JF - Medical & Biological Engineering & Computing

SN - 0140-0118

IS - 10

ER -