A review of time–frequency matched filter design with application to seizure detection in multichannel newborn EEG

Digital Signal Processing ◽

10.1016/j.dsp.2014.02.007 ◽

2014 ◽

Vol 28 ◽

pp. 28-38 ◽

Author(s):

Boualem Boashash ◽

Ghasem Azemi

Keyword(s):

Filter Design ◽

Matched Filter ◽

Seizure Detection ◽

Time Frequency ◽

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Multichannel-Based Newborn EEG Seizure Detection using Time-Frequency Matched Filter

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2007.4352527 ◽

2007 ◽

Author(s):

M. S. Khlif ◽

M. Mesbah ◽

B. Boashash ◽

P. Colditz

Keyword(s):

Matched Filter ◽

Seizure Detection ◽

Time Frequency ◽

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Newborn EEG seizure detection using optimized time-frequency matched filter

10.1109/isspa.2007.4555458 ◽

2007 ◽

Author(s):

M. Mesbah ◽

M. Khlif ◽

B. Boashash ◽

P. Colditz

Keyword(s):

Matched Filter ◽

Seizure Detection ◽

Time Frequency ◽

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Neonatal eeg seizure detection using a time-frequency matched filter with a reduced template set

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005. ◽

10.1109/isspa.2005.1580234 ◽

2006 ◽

Author(s):

J. O'Toole ◽

M. Mesbah ◽

B. Boashash

Keyword(s):

Matched Filter ◽

Seizure Detection ◽

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Time–frequency based newborn EEG seizure detection using low and high frequency signatures

Physiological Measurement ◽

10.1088/0967-3334/25/4/012 ◽

2004 ◽

Vol 25 (4) ◽

pp. 935-944 ◽

Author(s):

Hamid Hassanpour ◽

Mostefa Mesbah ◽

Boualem Boashash

Keyword(s):

High Frequency ◽

Seizure Detection ◽

Time Frequency ◽

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SVD-based newborn EEG seizure detection in the time-frequency domain

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)33524-3 ◽

2003 ◽

Vol 36 (15) ◽

pp. 329-333 ◽

Author(s):

Hamid Hassanpour ◽

Mostefa Mesbah ◽

Boualem Boashash

Keyword(s):

Frequency Domain ◽

Seizure Detection ◽

Time Frequency ◽

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Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.06.015 ◽

2017 ◽

Vol 132 ◽

pp. 188-203 ◽

Author(s):

Boualem Boashash ◽

Hichem Barki ◽

Samir Ouelha

Keyword(s):

Performance Evaluation ◽

Seizure Detection ◽

Image Feature ◽

Time Frequency ◽

Feature Sets ◽

Stationary Signals ◽

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Comparative performance of time-frequency based newborn EEG seizure detection using spike signatures

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ◽

10.1109/icassp.2003.1202379 ◽

2003 ◽

Author(s):

H. Hassanpour ◽

M. Mesbah ◽

B. Boashash

Keyword(s):

Seizure Detection ◽

Comparative Performance ◽

Time Frequency ◽

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Newborn EEG Seizure Detection Using Time-Frequency Matched Filtering

Qatar Foundation Annual Research Forum Proceedings ◽

10.5339/qfarf.2011.bmp14 ◽

2011 ◽

pp. BMP14

Author(s):

Boualem Boashash

Keyword(s):

Seizure Detection ◽

Matched Filtering ◽

Time Frequency ◽

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Matched filter design optimisation for UWB receiver for sensor network application

10.1117/12.638407 ◽

2005 ◽

Author(s):

Rohit Naik ◽

Jugdutt Singh ◽

Ronny Veljanovski

Keyword(s):

Sensor Network ◽

Filter Design ◽

Matched Filter ◽

Design Optimisation ◽

Network Application ◽

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Compromises in FIR matched filter design

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. ◽

10.1109/acssc.2004.1399555 ◽

2005 ◽

Author(s):

G.D. Cain ◽

A. Yardim ◽

M.A. Mughal

Keyword(s):

Filter Design ◽

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