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Forecasting epilepsy from the heart rate signal
Dan H. Kerem,
A. B. Geva
Department of Electrical & Computer Engineering
Research output
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Contribution to journal
›
Article
›
peer-review
54
Scopus citations
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Dive into the research topics of 'Forecasting epilepsy from the heart rate signal'. Together they form a unique fingerprint.
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Keyphrases
Seizure
100%
Epilepsy
100%
Alarm System
100%
Phase Space
100%
Absolute Value
100%
Epileptic Seizure
100%
Generalized Seizures
100%
Temporal Lobe
100%
Complex Partial Seizures
100%
Seizure Onset
100%
Epileptic
100%
N-dimensional
100%
Fuzzy Clustering Algorithm
100%
Animal Groups
100%
Interval Duration
100%
Unsupervised Fuzzy Clustering
100%
Hyperbaric Oxygen
100%
Peri-ictal
100%
Preictal Period
100%
Heart Sound Signal
100%
Group Forecasting
100%
RR Interval Time Series
100%
Prediction Sensitivity
100%
Seizure Alarm
100%
Neuroscience
Ictal
100%
Electroencephalography
50%
Temporal Lobe
50%
Epileptic Seizure
50%
Tonic-Clonic Seizure
50%
Complex Partial Seizure
50%
Hyperbaric Medicine
50%
Pharmacology, Toxicology and Pharmaceutical Science
Tonic Clonic Seizure
100%
Complex Partial Seizure
100%
Seizure
100%