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Seizure Prediction Informed by Changes in Circadian Autonomic Modulation
Seizure Prediction Informed by Changes in Circadian Autonomic Modulation An inexpensive, convenient, and non-invasive seizure detection, monitoring and prediction method Background Epilepsy affects 50 million people worldwide and it has highly debilitating medical and social consequences. Although the mechanism behind the seizures is believed to...
Published: 9/15/2025   |   Updated: 2/14/2023   |   Inventor(s): Solveig Vieluf, Bo Zhang, Tobias Loddenkemper
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Category(s): Technology Classifications > Disease Area, Technology Classifications > Disease Area > Neurology, Technology Classifications > Disease Area > Neurology > Epilepsy, Technology Classifications > Invention Type, Technology Classifications > Invention Type > Biomarkers