2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) 2018
DOI: 10.1109/atsip.2018.8364465
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Genetic and practical swarm optimisation algorithms for patient-specific seizure detection systems

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Cited by 3 publications
(3 citation statements)
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“…22 files among them 12 presenting seizures are available. The number of seizure segments is equal to 16 with duration equal to 511 sec [7] In typical scalp EEG, the recording is obtain by placing electrodes on scalp with a conductive gel. Some systems use caps into which electrodes are set; this is specific familiar when high-density arrays of electrodes are need [4].…”
Section: Proposed Work a Methodology And Implementationmentioning
confidence: 99%
“…22 files among them 12 presenting seizures are available. The number of seizure segments is equal to 16 with duration equal to 511 sec [7] In typical scalp EEG, the recording is obtain by placing electrodes on scalp with a conductive gel. Some systems use caps into which electrodes are set; this is specific familiar when high-density arrays of electrodes are need [4].…”
Section: Proposed Work a Methodology And Implementationmentioning
confidence: 99%
“…Nature has always been a great source of inspiration to all mankind. In GA there is large search space which is very populated and has so many possible solutions to the given problem [13]. These solutions undergo many processes to produce new offspring with the help of chromosome and this process is repeated over again and again until 'fit' particle is found.…”
Section: Genetic Algorithmmentioning
confidence: 99%
“…The CHB-MIT dataset was used and a classification accuracy of 96.79 % was achieved. Ammar et al [8] used a particle swarm genetic algorithm for a patient specific seizure classification system. This classification model used seizure and nonseizure as the annotations.…”
Section: Introductionmentioning
confidence: 99%