000 01607 a2200481 4500
005 20250518024117.0
264 0 _c20200603
008 202006s 0 0 eng d
022 _a1741-2552
024 7 _a10.1088/1741-2552/ab0933
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aKulkarni, Prathamesh M
245 0 0 _aA deep learning approach for real-time detection of sleep spindles.
_h[electronic resource]
260 _bJournal of neural engineering
_c06 2019
300 _a036004 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aAdolescent
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aCohort Studies
650 0 4 _aComputer Systems
_xstatistics & numerical data
650 0 4 _aDatabases, Factual
_xstatistics & numerical data
650 0 4 _aDeep Learning
_xstatistics & numerical data
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aNeural Networks, Computer
650 0 4 _aSleep Stages
_xphysiology
650 0 4 _aYoung Adult
700 1 _aXiao, Zhengdong
700 1 _aRobinson, Eric J
700 1 _aJami, Apoorva Sagarwal
700 1 _aZhang, Jianping
700 1 _aZhou, Haocheng
700 1 _aHenin, Simon E
700 1 _aLiu, Anli A
700 1 _aOsorio, Ricardo S
700 1 _aWang, Jing
700 1 _aChen, Zhe
773 0 _tJournal of neural engineering
_gvol. 16
_gno. 3
_gp. 036004
856 4 0 _uhttps://doi.org/10.1088/1741-2552/ab0933
_zAvailable from publisher's website
999 _c29398706
_d29398706