ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification

Understand

Brain-related disorders such as epilepsy can be diagnosed by analyzing electroencephalograms (EEG).

• However, manual analysis of EEG data requires highly trained clinicians, and is a procedure that is known to have relatively low inter-rater agreement (IRA).
• Moreover, the volume of the data and the rate at which new data becomes available make manual interpretation a time-consuming, resource-hungry, and expensive process.
• In contrast, automated analysis of EEG data offers the potential to improve the quality of patient care by shortening the time to diagnosis and reducing manual error.