Main Reference PaperAn Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction, IEEE Transactions on Big Data, March 2017 [Java].
  • 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.

  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1 & J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1 & J2EE.

  • 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-Depending on the complexity of the project and requirements.

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

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