Corpus ID: 13534843

Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection

@article{Turner2014DeepBN,
  title={Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection},
  author={J. T. Turner and A. Page and T. Mohsenin and T. Oates},
  journal={ArXiv},
  year={2014},
  volume={abs/1708.08430}
}
Ubiquitous bio-sensing for personalized health monitoring is slowly becoming a reality with the increasing availability of small, diverse, robust, high fidelity sensors. This oncoming flood of data begs the question of how we will extract useful information from it. In this paper we explore the use of a variety of representations and machine learning algorithms applied to the task of seizure detection in high resolution, multichannel EEG data. We explore classification accuracy, computational… Expand
60 Citations
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks
  • 46
  • Highly Influenced
  • PDF
Deep learning-based electroencephalography analysis: a systematic review
  • 204
  • PDF
Automated EEG-Based Epileptic Seizure Detection Using Deep Neural Networks
  • 24
  • PDF
Applying Deep Learning for Epilepsy Seizure Detection and Brain Mapping Visualization
  • 58
A robust framework epileptic seizures classification based on lightweight structure deep convolutional neural network and wavelet decomposition
Prediction for High Risk Clinical Symptoms of Epilepsy Based on Deep Learning Algorithm
  • 9
...
1
2
3
4
5
...

References

SHOWING 1-9 OF 9 REFERENCES
Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement.
  • 154
  • PDF
Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data
  • 10
Greedy Layer-Wise Training of Deep Networks
  • 2,714
  • PDF
Learning Deep Architectures for AI
  • 6,590
  • PDF
Experiencing SAX: a novel symbolic representation of time series
  • 1,204
  • PDF
Theano: a CPU and GPU math expression compiler
  • Proceedings of the Python for Scientific Computing Conference
  • 2010
Learning deep architectures for ai. Found
  • Trends Mach. Learn
  • 2009
, Desjardins , Guillaume , Turian , Joseph , Warde - Farley , David , and Ben - gio , Yoshua . Theano : a CPU and GPU math expression compiler
  • Proceedings of the Python for Scientific Computing Conference ( SciPy ) , June 2010 . Oral Presentation .