A Patient-Specific Approach for Short-Term Epileptic Seizures Prediction Through the Analysis of EEG Synchronization

@article{Detti2019APA,
  title={A Patient-Specific Approach for Short-Term Epileptic Seizures Prediction Through the Analysis of EEG Synchronization},
  author={Paolo Detti and Garazi Zabalo Manrique de Lara and Renato Bruni and Marco Pranzo and Francesco Sarnari and Giampaolo Vatti},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2019},
  volume={66},
  pages={1494-1504}
}
Epilepsy is a neurological disorder arising from anomalies of the electrical activity in the brain, affecting about 65 millions individuals worldwide. Objective: This paper proposes a patient-specific approach for short-term prediction (i.e., within few minutes) of epileptic seizures. Methods: We use noninvasive EEG data, since the aim is exploring the possibility of developing a noninvasive monitoring/control device for the prediction of seizures. Our approach is based on finding… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-2 OF 2 CITATIONS

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

Xiang Zhang, Lina Yao, +3 authors Yong Li
  • ArXiv
  • 2019
VIEW 10 EXCERPTS
HIGHLY INFLUENCED

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification

Hong Zeng, Chen Yang, +5 authors Wanzeng Kong
  • Computational intelligence and neuroscience
  • 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 37 REFERENCES

Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals Using Phase Correlation

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • 2016
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL