Wearable epileptic seizure prediction system based on machine learning techniques using ecg, ppg and eeg signals

HIGHLIGHTS

• who: David Zambrana-Vinaroz and collaborators from the Neuroengineering Biomedical Research Group, Miguel Hernu00e1ndez University of Elche, Elche, Spain have published the research work: Wearable Epileptic Seizure Prediction System Based on Machine Learning Techniques Using ECG, PPG and EEG Signals, in the Journal: Sensors 2022, 9372 of /2022/
• what: With this aim this Article proposes the first seizure predictive model based on Ear ECG and PPG obtained by means of a device that can be used in a static and outpatient setting. The authors show the generation of predictive performed in the clinical environment. The . . .
  

   

  

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