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Detection of epilepsy with analysis of electromagnetic signals (EEG)
Detection of epileptogenic brains with non-linear analysis of electromagnetic signals
Background
Epilepsy, one of the most prevalent chronic neurological diseases, affects approximately 0.6-1% of the general population and represents an economic burden of .1-1% of the total budget of health care systems in some parts of the world, with a significant...
Published: 3/30/2026
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Updated: 2/14/2025
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Inventor(s): William Bosl, Tobias Loddenkemper
Keywords(s):
Category(s): Technology Classifications > Disease Area > Neurology, Technology Classifications > Disease Area > Neurology > Epilepsy, Technology Classifications > Invention Type > Diagnostics
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Video-based automated detection of generalized tonic-clonic seizures using deep learning
Video-based automated detection of generalized tonic-clonic seizures using deep learning
Background
Detecting epileptic seizures in a timely manner is crucially important as early detection can prevent complications such as secondary injuries, falls, and neurological damage. Early detection also allows for timely treatment and care that can stop or...
Published: 6/30/2025
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Updated: 6/1/2023
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Inventor(s): Christian Meisel, Tobias Loddenkemper
Keywords(s): Diagnostics, Imaging, Neurology
Category(s): Technology Classifications > Invention Type, Technology Classifications > Invention Type > Diagnostics, Technology Classifications > Disease Area, Technology Classifications > Disease Area > Neurology, Technology Classifications > Disease Area > Neurology > Epilepsy
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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
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Updated: 2/14/2023
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Inventor(s): Solveig Vieluf, Bo Zhang, Tobias Loddenkemper
Keywords(s):
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
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