As described in the JAMA Neurology paper, the Standardized Computer-based Organized Reporting of EEG-Artificial Intelligence (SCORE-AI) was designed to not only distinguish between normal and abnormal recordings but also classify the abnormal EEGs into one of four categories relevant for clinical decision-making: ...
Aug 3, 2023
In this paper, an automated system for diagnosing epilepsy is presented. The system combines both the electrocerebral activity related to epilepsy resulting ...
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A multistage system to detect epileptiform activity in the EEG · Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG ...
To evaluate an automated seizure detection (ASD) algorithm in EEGs with periodic and other challenging patterns.
Missing: system activity
Jun 20, 2023 · An AI model (SCORE-AI) was trained on 30 493 EEGs to separate normal from abnormal recordings then classify abnormal recordings as epileptiform-focal.
We present a new technique for detection of epileptiform activity in EEG signals. After preprocessing of EEG signals we extract representative features in time, ...
Electroencephalogram (EEG) is an effective and non-invasive technique commonly used for monitoring the brain activity and diagnosis of epilepsy. EEG readings ...
An expert system for the automated detection of spikes and sharp waves in the EEG has been developed. The system consists of two distinct stages.
Oct 21, 2019 · This diagnostic study aims to evaluate and validate a deep neural network trained to detect epileptiform discharges during ...
Missing: system analysis
The EEG is an important neurodiagnostic tool in epilepsy. Approximately, 30% of patients diagnosed with epilepsy may have been misdiagnosed, many with EEGs ...