What Researchers Did
Researchers developed a computer algorithm that analyzes changes in heart rate to predict epileptic seizures before they happen.
What They Found
The algorithm successfully predicted seizures in human patients with 86% accuracy and in rats with 82% accuracy, sometimes as early as 10 minutes before onset. It showed no false positives in resistant rats, and its prediction ability was similar to methods using brain wave recordings (EEG). The authors suggest this method could form the basis of a simple seizure alarm system.
Canadian Relevance
No direct Canadian connection identified.
Study Limitations
This study, published in 2005, involved both human and animal subjects, and the proposed on-line alarm system was not actually developed or tested in a real-world setting.