PMID- 22795227
OWN - NLM
STAT- MEDLINE
DCOM- 20130507
LR  - 20120724
IS  - 1879-0534 (Electronic)
IS  - 0010-4825 (Linking)
VI  - 42
IP  - 8
DP  - 2012 Aug
TI  - A novel real-time patient-specific seizure diagnosis algorithm based on analysis 
      of EEG and ECG signals using spectral and spatial features and improved particle 
      swarm optimization classifier.
PG  - 848-56
LID - 10.1016/j.compbiomed.2012.06.008 [doi]
AB  - This paper proposes a novel real-time patient-specific seizure diagnosis 
      algorithm based on analysis of electroencephalogram (EEG) and electrocardiogram 
      (ECG) signals to detect seizure onset. In this algorithm, spectral and spatial 
      features are selected from seizure and non-seizure EEG signals by Gabor functions 
      and principal component analysis (PCA). Furthermore, four features based on heart 
      rate acceleration are extracted from ECG signals to form feature vector. Then a 
      neural network classifier based on improved particle swarm optimization (IPSO) 
      learning algorithm is developed to determine an optimal nonlinear decision 
      boundary. This classifier allows to adjust the parameters of the neural network 
      classifier, efficiently. This algorithm can automatically detect the presence of 
      seizures with minimum delay which is an important factor from a clinical 
      viewpoint. The performance of the proposed algorithm is evaluated on a dataset 
      consisting of 154 h records and 633 seizures from 12 patients. The results 
      indicate that the algorithm can recognize the seizures with the smallest latency 
      and higher good detection rate (GDR) than other presented algorithms in the 
      literature.
CI  - Copyright (c) 2012 Elsevier Ltd. All rights reserved.
FAU - Nasehi, Saadat
AU  - Nasehi S
AD  - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, 
      Isfahan, Iran.
FAU - Pourghassem, Hossein
AU  - Pourghassem H
LA  - eng
PT  - Journal Article
PT  - Retracted Publication
DEP - 20120715
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
RIN - Comput Biol Med. 2013 Mar;43(3):229. PMID: 23520624
MH  - *Algorithms
MH  - *Computer Systems
MH  - Electrocardiography/*methods
MH  - Electroencephalography/*methods
MH  - Humans
MH  - Seizures/*diagnosis
MH  - *Signal Processing, Computer-Assisted
EDAT- 2012/07/17 06:00
MHDA- 2013/05/08 06:00
CRDT- 2012/07/17 06:00
PHST- 2011/11/06 00:00 [received]
PHST- 2012/03/15 00:00 [revised]
PHST- 2012/06/20 00:00 [accepted]
PHST- 2012/07/17 06:00 [entrez]
PHST- 2012/07/17 06:00 [pubmed]
PHST- 2013/05/08 06:00 [medline]
AID - S0010-4825(12)00100-X [pii]
AID - 10.1016/j.compbiomed.2012.06.008 [doi]
PST - ppublish
SO  - Comput Biol Med. 2012 Aug;42(8):848-56. doi: 10.1016/j.compbiomed.2012.06.008. 
      Epub 2012 Jul 15.