Electroencephalogram (EEG), a record of electrical signal to represent the human brain activity, has great potential for the diagnosis to treatment of mental disorder and brain diseases such as epileptic seizure. Features extraction and classification of EEG signals is the crucial task to detect the stage of ictal (i.e., seizure period) and interictal (i.e., period between seizures) signals for the treatment and precaution of the epileptic patient. However, existing seizure and non-seizure feature extraction techniques are not good enough for the classification of ictal and interictal EEG signals considering their non-abruptness phenomena and inconsistency in different brain locations. In this paper, we present a new approach for feature ex...
This paper presents new time-frequency (T-F) features to improve the detection and classification of...
4 pages, 3 figures.-- Contributed to: "Engineering the Future of Biomedicine", EMBC2009, 31st Annual...
Human epilepsy is a disease characterized by sudden, unprovoked, recurrent seizures accompanied by p...
Abstract—Epilepsy is one of the common neurological disorders characterized by a sudden and recurren...
Abstract — Electroencephalogram (EEG) is a record of electrical signal to represent the human brain ...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
seizures, which severely impact the quality of life of epilepsy patients and sometimes are accompani...
The aim of this study is to obtain an automated medical diagnosis-support system about epilepsy by c...
Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area of rese...
International audienceThis work aims at exploring a general framework embedding techniques from clas...
This work presents a method for early detection of epileptic seizures from EEG data, taking into acc...
Objective: An epileptic seizure is recognized as a neurological disorder caused by transient and une...
In this paper, a robust seizure detection system using scalp EEG signal is presented. Two most impor...
This article analyzes and classifies EEG signals using wavelets decomposition and support vector mac...
© 2015 Gajic, Djurovic, Gligorijevic, Di Gennaro and Savic-Gajic. We present a new technique for det...
This paper presents new time-frequency (T-F) features to improve the detection and classification of...
4 pages, 3 figures.-- Contributed to: "Engineering the Future of Biomedicine", EMBC2009, 31st Annual...
Human epilepsy is a disease characterized by sudden, unprovoked, recurrent seizures accompanied by p...
Abstract—Epilepsy is one of the common neurological disorders characterized by a sudden and recurren...
Abstract — Electroencephalogram (EEG) is a record of electrical signal to represent the human brain ...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
seizures, which severely impact the quality of life of epilepsy patients and sometimes are accompani...
The aim of this study is to obtain an automated medical diagnosis-support system about epilepsy by c...
Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area of rese...
International audienceThis work aims at exploring a general framework embedding techniques from clas...
This work presents a method for early detection of epileptic seizures from EEG data, taking into acc...
Objective: An epileptic seizure is recognized as a neurological disorder caused by transient and une...
In this paper, a robust seizure detection system using scalp EEG signal is presented. Two most impor...
This article analyzes and classifies EEG signals using wavelets decomposition and support vector mac...
© 2015 Gajic, Djurovic, Gligorijevic, Di Gennaro and Savic-Gajic. We present a new technique for det...
This paper presents new time-frequency (T-F) features to improve the detection and classification of...
4 pages, 3 figures.-- Contributed to: "Engineering the Future of Biomedicine", EMBC2009, 31st Annual...
Human epilepsy is a disease characterized by sudden, unprovoked, recurrent seizures accompanied by p...