S Raghu

Employment

• Maastricht University
  ? - 2020

Education

• Maastricht University Doctorate of Philosophy
  2017 - Present
• Christ University M.Tech
  2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy
  JMIR Neurotechnology 2023 DOI: 10.2196/50660
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• Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation (Preprint)
  2023 DOI: 10.2196/preprints.50660
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• Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG
  Neural Computing and Applications 2020 DOI: 10.1007/s00521-019-04389-1
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• Cross-database evaluation of EEG based epileptic seizures detection driven by adaptive median feature baseline correction
  Clinical Neurophysiology 2020 DOI: 10.1016/j.clinph.2020.03.033
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• EEG based multi-class seizure type classification using convolutional neural network and transfer learning
  Neural Networks 2020 DOI: 10.1016/j.neunet.2020.01.017
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• Automated seizure detection for remote monitoring
  2020 DOI: 10.26481/dis.20201207rr
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• Automated detection of epileptic seizures using DWT based features and SVM classifier
  2nd International Conference on Signal Processing and Communication, ICSPC 2019 - Proceedings 2019 DOI: 10.1109/ICSPC46172.2019.8976611
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• Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier
  Computers in Biology and Medicine 2019 DOI: 10.1016/j.compbiomed.2019.05.016
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• A convolutional neural network based framework for classification of seizure types
  2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019 DOI: 10.1109/EMBC.2019.8857359
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• A novel approach for classification of epileptic seizures using matrix determinant
  Expert Systems with Applications 2019 DOI: 10.1016/j.eswa.2019.03.021
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