Main Reference PaperAn Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction, IEEE Transactions on Big Data, March 2017 [Python].
  • The approaches such as the adaptive probabilistic prediction (APP), adaptive lineardiscriminant- analysis-based prediction (ALP), and adaptive Naive Bayes-based prediction (ANBP) are proposed in which pre-seizure and normal patterns are extracted from massive multivariate EEG data of the patient.

Description
  • The approaches such as the adaptive probabilistic prediction (APP), adaptive lineardiscriminant- analysis-based prediction (ALP), and adaptive Naive Bayes-based prediction (ANBP) are proposed in which pre-seizure and normal patterns are extracted from massive multivariate EEG data of the patient.

  • To classify pre-seizure and normal patterns.

  • To generate the pattern library of patient individually .

Aim & Objectives
  • To classify pre-seizure and normal patterns.

  • To generate the pattern library of patient individually .

  • Adaptive prediction system is improved further to achieve accurate personalized seizure prediction.

Contribution
  • Adaptive prediction system is improved further to achieve accurate personalized seizure prediction.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.