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

Mads Jochumsen, Imran Khan Niazi, Kim Dremstrup, Ernest Nlandu Kamavuako

Research output: Contribution to journalJournal articleResearchpeer-review

16 Citations (Scopus)
Original languageEnglish
JournalMedical & Biological Engineering & Computing
Volume54
Issue number10
Pages (from-to)1491-1501
ISSN0140-0118
DOIs
Publication statusPublished - 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",

}

Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation. / Jochumsen, Mads; Niazi, Imran Khan; Dremstrup, Kim; Kamavuako, Ernest Nlandu.

In: Medical & Biological Engineering & Computing, Vol. 54, No. 10, 2016, p. 1491-1501.

Research output: Contribution to journalJournal articleResearchpeer-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 -