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Related Experiment Video

Updated: Mar 3, 2026

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings.

Steven N Baldassano^1,2, Benjamin H Brinkmann^3,4, Hoameng Ung^1,2

¹Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

Brain : a Journal of Neurology

|May 2, 2017

Summary

This summary is machine-generated.

Developing automated seizure detection algorithms using crowdsourced data has overcome a major barrier in epilepsy research. These validated algorithms offer a new, reproducible benchmark for personalized seizure detection and patient care.

Failed At:

2026-06-19T13:37:43.499351+00:00

Keywords:

crowdsourcing epilepsy experimental models intracranial EEG seizure detection

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