New U of M research hopes to pave the way for more accurate and efficient seizure detection and localization, ultimately improving outcomes for epilepsy patients. Neuromodulation Researcher, Dr. Alexander Herman and Neuromodulation Scholar, Dr. David Darrow, evaluated the reliability of human experts in comparison to an automated algorithm in assessing the quality of intracranial electroencephalography (iEEG) data. This research hopes to pave the way for more accurate and efficient seizure detection and localization, ultimately improving outcomes for epilepsy patients.
iEEG is a procedure that measures brain activity by placing electrodes directly on or inside the brain. This detailed information is crucial for diagnosing and treating conditions like epilepsy, where pinpointing the exact source of seizures is essential for effective treatment.
