EEG Signals During Epileptic Seizure as a Semigroup of Upper Triangular Matrices

Binjadhnan, Faisal Abdurabu Mubarak; Ahmad, Tahir

doi:10.3844/ajassp.2010.540.544

Cited by 14 publications

(5 citation statements)

References 3 publications

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“…Apart from that, the algebraic study on Flat EEG demonstrates not only the possibility of transforming Flat EEG from one mathematical structure to another i.e., from topological to algebraic but also shows that Flat EEG can be decomposed into semigroup of upper triangular matrices under matrix multiplication and hence revealing that patterns exist in epileptic seizure process rather than chaotic (Faisal and Tahir, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamical System of Flat Electroencephalography

Ken¹,

Ahmad²,

Mohamad³

et al. 2015

American Journal of Applied Sciences

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Flat EEG is a way of viewing electroencephalography signals on the real plane. The wealth of information contained within makes it a great platform to study epileptic seizure. In this study, the time embedment nature of Flat EEG is exploited to establish a dynamic Flat EEG model. Basically, a geometrical representation which displays the important information visually for Flat EEG at any time will firstly be formulated, followed by the representation of a Flat EEG signal as a trajectory in state space. Based on these, the modeling of Flat EEG as a dynamical system using the notion of flow is presented. This dynamic model would serve as the groundwork for the indisputably essential dynamic justification of Flat EEG in future research.

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Section: Literature Reviewmentioning

confidence: 99%

Dynamical System of Flat Electroencephalography

Ken¹,

Ahmad²,

Mohamad³

et al. 2015

American Journal of Applied Sciences

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show abstract

“…It plays an important diagnostic role in epilepsy and provides supporting evidence of a seizure disorder as well as assisting with classification of seizures. Careful analysis of the EEG records can provide new insights into the epileptogenic process and may have considerable utilization in the diagnosis and treatment of epilepsy (Binjadhnan and Ahmad, 2010).…”

Section: Introductionmentioning

confidence: 99%

Segmentation of Electroencephalogram Signals During Epileptic Seizures by Using Fuzzy C-Means

Abdy

Ahmad²

2014

American Journal of Applied Sciences

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Electroencephalogram (EEG) is a recording of electrical activity of the brain. It contains valuable information related to the different physiological states of the brain. A quantitative EEG analysis has been developed over the years that introduce objective measure, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. In this study, the image form of the EEG signals is segmented into parts that have the nearly equal electrical current strength. This segmentation uses fuzzy c-means. An example of EEG signal data will be provided and segmented using the obtained method.

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“…[1]. Also combustion chamber geometry and the fuel injection characteristics play a central role in homogeneity of air-fuel mixing [2]. Engine performance highly influenced by fuel properties, pure biodiesel or blended, since it has different physical and chemical properties from those of diesel fuel [3].…”

Section: Introductionmentioning

confidence: 99%

A Review of Ignition Delay and Combustion Characteristics of Biodiesel Fueled Diesel Engine

Qate

Pourabdian

Javareshkian

et al. 2013

AMM

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Increasing rate of demanding biodiesel as alternative energy resource, persuade researchers to investigate engine performance of biodiesel-fueled engines, which are highly influenced by ignition delay (ID) and combustion characteristics of such a fuel. This review article introduces a literature review on ignition delay (ID) and combustion characteristics of diesel engine fueled with biodiesel. Slightly difference between combustion characteristics of bio fueled engine and petroleum diesel one recognized as result of carried out investigations. Early start of combustion (SOC) and shorter ID of biodiesel comparing to diesel is reported by most of investigations. Lower compressibility, higher Cetane Number (CN) and fatty acid composition of biodiesel have been recognized as the principle elements of early SOC and shorter ID. It is also revealed that heat release rate (HRR) of biodiesel comparing to diesel is slightly lower because of lower calorific value, shorter ID and higher viscosity.

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EEG Signals During Epileptic Seizure as a Semigroup of Upper Triangular Matrices

Cited by 14 publications

References 3 publications

Dynamical System of Flat Electroencephalography

Dynamical System of Flat Electroencephalography

Segmentation of Electroencephalogram Signals During Epileptic Seizures by Using Fuzzy C-Means

A Review of Ignition Delay and Combustion Characteristics of Biodiesel Fueled Diesel Engine

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