Different Methods of Partitioning the Phase Space of a Dynamic System

Hadriche, Abir; Jmail, Nawel; Elleuch, Ridha

doi:10.5120/16288-5931

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…Despiking is an advanced technique that relies on creating a spiky basis than projecting investigated signal on spiky model [3], resulting signal is pure interictal gamma oscillations [8]. In a second step, a spatio temporal analysis is applied to elucidate time of incoming seizure and responsible EZ.…”

Section: Discussionmentioning

confidence: 99%

A Build Up of Seizure Prediction and Detection Software: A Review Article

Hadriche¹,

Jmail²

2021

austinneurosurgopenaccess

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Introduction: Neurological diseases are much often due to our stressed daily life, and epilepsy is considered as a second cause of hospitalization in neurological illness. It is about 30% of epileptic cases where medicine would not stop or control seizure; hence, a surgical intervention is required to delineate abnormal hyperexcitable cortical tissue. Defining these epileptogenic zones is a challenge that require physiological and anatomical acquisition. Discussion: Clinicians, researcher and engineer researcher are multiplying advanced techniques in order to exploit these acquisitions for a better diagnosis. Several software are used to enhance epilepsy diagnosis. Here we proposed a software that rely on space-time evolution of inter- ictal gamma oscillations. Conclusion: Our proposed software would predict a build up of seizure during monitoring of stereo-electroencephalographic SEEG recording. It allows also detection of seizure during analysis and diagnosis of SEEG. This software would assist neurologist in recognition of seizure and in defining epileptogenic zone EZ.

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Section: Discussionmentioning

confidence: 99%

A Build Up of Seizure Prediction and Detection Software: A Review Article

Hadriche¹,

Jmail²

2021

austinneurosurgopenaccess

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“…There is Software capable to inspect both invasive and non invasive registration, other for anatomical images. For epileptic biomarker, spiky events present the highest analyzed biomarker in epilepsy for decades [7,8], but recently studies are oriented to oscillatory events from low gamma to very high gamma HFO [5]. Studying epileptic oscillatory events depends straightly on type of used registration, since HFO are much more seen in SEEG than in non invasive technique.…”

Section: Discussionmentioning

confidence: 99%

A build up of seizure prediction and detection Software: A review

Hadriche¹,

Jmail²

2021

J Clin Images Med Case Rep

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Introduction: Neurological diseases are much often due to our stressed daily life, and epilepsy is considered as a second cause of hospitalization in neurological illness. It is about 30% of epileptic cases where medicine would not stop or control seizure; hence, a surgical intervention is required to delineate abnormal hyperexcitable cortical tissue. Defining these epileptogenic zones is a challenge that require physiological and anatomical acquisition. Discussion: Clinicians, researcher and engineer researcher are multiplying advanced techniques in order to exploit these acquisitions for a better diagnosis. Several software are used to enhance epilepsy diagnosis. Here we proposed a software that rely on spacetime evolution of inter- ictal gamma oscillations. Conclusion: Our proposed software would predict a build up of seizure during monitoring of stereo-electroencephalographic SEEG recording. It allows also detection of seizure during analysis and diagnosis of SEEG. This software would assist neurologist in recognition of seizure and in defining epileptogenic zone EZ. Keywords: Pharmaco-ressistant epilepsy; SEEG; Seizure build up; Prediction; Detection.

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“…Structure-function modelling is used in this paper, to determine the states of the system in order to adequately track the system trajectory because each element of the Markov partitions can be viewed to correspond to a system state in the Markov process in a geometrical space [14], [32]- [34]. Let = [ , ] to define the partition, and let : → .…”

Section: Dynamical Systems and Markov Processesmentioning

confidence: 99%