Publications by authors named "Aidan Boyne"
The treatment of epilepsy, the second most common chronic neurological disorder, is often complicated by the failure of patients to respond to medication. Treatment failure with anti-seizure medications is often due to the presence of non-epileptic seizures. Distinguishing non-epileptic from epileptic seizures requires an expensive and time-consuming analysis of electroencephalograms (EEGs) recorded in an epilepsy monitoring unit.
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- Computer vision (CV) is emerging as a promising, cost-effective method for detecting and classifying seizures in video data, with a focus on understanding the core concepts and model architectures employed in this analysis.
- A systematic review of literature from 2000 to 2023 identified 45 validated studies, revealing that CV has advanced significantly and demonstrated high accuracy in seizure detection, potentially enhancing patient safety and resource efficiency in epilepsy care.
- However, challenges such as the need for standardized validation, concerns regarding patient privacy, and the requirement for comprehensive testing across diverse datasets pose hurdles to the widespread adoption of CV in clinical settings.