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Springer电子图书(59)
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知网期刊论文(4350)
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CNKI期刊论文0611(9)
万方学位论文(1)
在“
Elsevier电子期刊
”中,
命中:
799
条,耗时:0.0219845 秒
在所有数据库中总计命中:
9,751
条
1.
Robust heart rate estimation from multimodal physiological
signals
using beat signal quality index based majority voting fusion method
作者:
Shalini A. Rankawat
;
shalinirankawat@hotmail.com
;
Rahul Dubey
关键词:
Multimodal physiological
signals
;
Non-cardiovascular
signals
;
R-peak artifact
;
Beat signal quality index
;
Majority voting fusion method
;
Robust heart rate
刊名:
Biomedical
Signal Processing and Control
出版年:2017
2.
Cyclic spectral analysis of electrocardiogram
signals
based on GARCH model
作者:
Sara Mihandoost
;
s.mihandoost@urmia.ac.ir" class="auth_mail" title="E-mail the corresponding author
(IEEE member)
;
Mehdi Chehel Amirani
m.amirani@urmia.ac.ir" class="auth_mail" title="E-mail the corresponding author
(IEEE member)
关键词:
ECG
signals
;
CSA
;
GARCH model
;
MRF
;
SVM
刊名:
Biomedical
Signal Processing and Control
出版年:2017
3.
Refined composite multivariate generalized multiscale fuzzy entropy: A tool for complexity analysis of multichannel
signals
作者:
Hamed Azami
;
hamed.azami@ed.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Javier Escudero
javier.escudero@ed.ac.uk" class="auth_mail" title="E-mail the corresponding author
关键词:
Complexity
;
Multivariate generalized multiscale entropy
;
Statistical moments
;
Fuzzy entropy
;
Sample entropy
;
Biomedical
signals
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
4.
Automatic channel selection in EEG
signals
for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm
作者:
Alireza Ghaemi
a
;
alirezaghaemi83@gmail.com
;
Esmat Rashedi
a
;
e.rashedi@kgut.ac.ir
;
Ali Mohammad Pourrahimi
b
;
am.pourrahimi@kmu.ac.ir
;
Mehdi Kamandar
a
;
Farhad Rahdari
c
关键词:
Brain computer interface
;
Signal processing
;
EEG
signals
;
Classification
;
Channel selection
;
Feature extraction
;
Improved binary gravitation search algorithm
刊名:
Biomedical
Signal Processing and Control
出版年:2017
5.
A method for sub-sample computation of time displacements between discrete
signals
based only on discrete correlation sequences
作者:
Cé
;
sar A. Teixeira
a
;
cteixei@dei.uc.pt" class="auth_mail" title="E-mail the corresponding author
;
Luí
;
s Mendes
a
;
Maria Graç
;
a Ruano
a
;
b
;
Wagner C.A. Pereira
c
关键词:
Sub-sample time-delay estimation
;
Cross-correlation
;
Discrete
signals
刊名:
Biomedical
Signal Processing and Control
出版年:2017
6.
A two-stage framework for denoising electrooculography
signals
作者:
Anirban Dasgupta
a
;
anirban1828@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Suvodip Chakraborty
b
;
Aurobinda Routray
a
关键词:
EOG
;
Kalman filter
;
Particle filter
;
EMD
;
SWT
;
SNR
刊名:
Biomedical
Signal Processing and Control
出版年:2017
7.
Accurate EMG onset detection in pathological, weak and noisy myoelectric
signals
作者:
Dapeng Yang
;
Huajie Zhang
;
Yikun Gu
;
guyikun@hit.edu.cn
;
Hong Liu
关键词:
Electromyography
;
Onset detection
;
Teager-Kaiser Energy operator
;
Morphological operation
刊名:
Biomedical
Signal Processing and Control
出版年:2017
8.
Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG
signals
作者:
Mohit Kumar
a
;
phd1401202005@iiti.ac.in" class="auth_mail" title="E-mail the corresponding author
;
Ram Bilas Pachori
a
;
pachori@iiti.ac.in" class="auth_mail" title="E-mail the corresponding author
;
U. Rajendra Acharya
b
;
c
;
d
;
aru@np.edu.sg" class="auth_mail" title="E-mail the corresponding author
关键词:
Coronary artery disease
;
Flexible analytic wavelet transform
;
ECG beats
;
Cross information potential
;
Student's t-test
刊名:
Biomedical
Signal Processing and Control
出版年:2017
9.
Discriminative methods based on sparse representations of pulse oximetry
signals
for sleep apnea-hypopnea detection
作者:
R.E. Roló
;
n
a
;
rrolon@sinc.unl.edu.ar
;
L.D. Larrateguy
b
;
L.E. Di Persia
a
;
R.D. Spies
c
;
H.L. Rufiner
a
;
d
关键词:
Sleep apnea&ndash
;
hypopnea syndrome
;
Sparse representations
;
Dictionary learning
;
Neural networks
刊名:
Biomedical
Signal Processing and Control
出版年:2017
10.
Classification of epilepsy EEG
signals
using DWT-based envelope analysis and neural network ensemble
作者:
Mingyang Li
;
Wanzhong Chen
;
chenwz@jlu.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Tao Zhang
关键词:
EEG
;
Epilepsy
;
NNE
;
Envelope
;
DWT
刊名:
Biomedical
Signal Processing and Control
出版年:2017
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