Search Results - (( java simulation optimization algorithm ) OR ( seizure detection using algorithm ))
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Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals
Published 2014“…This project aims at developing an automated epileptic seizure event detection algorithm. The proposed algorithm depends on using five features which are singular values, total power, delta band power, variance and mean. …”
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2
Detection of the onset of epileptic seizure signal from scalp EEG using blind signal separation
Published 2009“…BSS algorithm is used to demix the EEG signal into signals with independent features. …”
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Focal and non-focal epilepsy localization: a review
Published 2018“…This study reviews many recently-proposed algorithms for detecting the focal epileptic seizures. …”
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Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data
Published 2014“…This detection system can produce warning signals for epileptic seizures. …”
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5
Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation
Published 2015“…Unlike the commercial ECG simulators, to the best of our knowledge, there is no such commercially available system that can be used for such research tasks. With controlled data types, healthy/normal, seizure and pre-seizure classes, tuning of algorithms for detection and classification applications can be attained. …”
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Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data
Published 2014“…This shown various performance modes of the system and confirms the detection of pre-seizure state for a number of parameters related to the patients such as age, gender, etc… By using this type of fuzzy logic classifier, we were able to get over 90% accurate classifications for the partial seizure…”
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7
Epileptic seizure detection using the singular values of EEG signals
Published 2013“…EEG recordings of 4-paediatric patients with 20 seizures are used to validate the proposed algorithm and the preliminary results indicates good level of sensitivity by the singular values to the changes in the EEG signals due to epileptic seizure. …”
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
Published 2014“…This can be observed and the algorithm with the detection structure can produce cautioning signals for epileptic seizure.…”
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10
Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data
Published 2013“…This detection system can produce warning signals for epileptic seizures. …”
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11
Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
Published 2014“…This can be observed and the algorithm with the detection structure can produce cautioning signals for epileptic seizure. …”
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12
Fuzzy Platform for Embedded Wearable EEG Seizure Detection in Ambulatory State
Published 2014“…This paper describes a classification method is presented using an Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. …”
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13
Epileptic seizure detection using singular values and classical features of EEG signals
Published 2015“…In this paper, an epileptic seizure event detection algorithm utilizing five features namely singular values, total average power, delta band average power, variance and mean, is proposed. …”
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14
EEG Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation
Published 2015“…Unlike the commercial ECG simulators, to the best of our knowledge, there is no such commercially available system that can be used for such research tasks. With controlled data types, healthy/normal, seizure and pre-seizure classes, tuning of algorithms for detection and classification applications can be attained. …”
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15
Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state
Published 2014“…This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. …”
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Embedded wearable EEG seizure detection in ambulatory state
Published 2014“…This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. …”
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Rule-Base Wearable Embedded Platform for Seizure Detection from Real EEG Data in Ambulatory State
Published 2014“…This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. …”
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18
Detection of Epileptic EEG Signal Using Wavelet Transform and Adaptive Neuro-Fuzzy Inference System
Published 2011“…Such algorithms use brain electrical activity signals called electro encephalography (EEG) and have 2 methods of detection: visual (by specialist inspection) and automatic (by using signal processing knowledge). …”
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Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data
Published 2014“…This gives a more practical functionality for such a system to be used in a wearable fashion over the existing Electroencephalogram (EEG) based seizure detection systems due to their complex pattern classification methodologies. …”
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Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
Published 2014“…In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. …”
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