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Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95)
A Comparison of Techniques for the Prediction of Epileptic Seizures
Lubbock, Texas
June 09-June 10
ISBN: 0-8186-7117-3
ASCII Text
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D. Qin, B. Houchins, M.E. Parten, N. Parker, R. Homan, A. Petrosian, "A Comparison of Techniques for the Prediction of Epileptic Seizures," Computer-Based Medical Systems, IEEE Symposium on, pp. 0151, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995.
 
 
BibTex
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@article{ 10.1109/CBMS.1995.465436,
author = {D. Qin and B. Houchins and M.E. Parten and N. Parker and R. Homan and A. Petrosian},
title = {A Comparison of Techniques for the Prediction of Epileptic Seizures},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1995},
isbn = {0-8186-7117-3},
pages = {0151},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465436},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - A Comparison of Techniques for the Prediction of Epileptic Seizures
SN - 0-8186-7117-3
SP
EP
A1 - D. Qin,
A1 - B. Houchins,
A1 - M.E. Parten,
A1 - N. Parker,
A1 - R. Homan,
A1 - A. Petrosian,
PY - 1995
KW - electroencephalography; medical signal processing; real-time systems; alarm systems; epileptic seizure prediction; signal analysis techniques; EEG signal; real time early warning system; epileptic patients; automatic real time system
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
D. Qin, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
B. Houchins, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
M.E. Parten, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
N. Parker, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
R. Homan, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
A. Petrosian, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
Abstract: EEG signal analysis has been proposed for early warning of an epileptic seizure. A number of different signal analysis techniques are examined and compared using an example EEG signal. The objective of this comparison is to determine which analysis technique to use in an automatic, real time early warning system for epileptic patients.
Index Terms:
electroencephalography; medical signal processing; real-time systems; alarm systems; epileptic seizure prediction; signal analysis techniques; EEG signal; real time early warning system; epileptic patients; automatic real time system
Citation:
D. Qin, B. Houchins, M.E. Parten, N. Parker, R. Homan, A. Petrosian, "A Comparison of Techniques for the Prediction of Epileptic Seizures," cbms, pp.0151, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995
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