Posts by Jin Jing, PhD
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Peak Epileptiform Activity Burden Linked to Neurologic Outcome in a Range of Hospitalized Patients
When neurologists at Massachusetts General Hospital used a computational neural network to review continuous EEG data on 1,967 medical, neurologic, and surgical patients, peak EA burden, but not the cumulative burden, was independently associated with very poor neurologic outcomes and death.
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Automated Clustering of Continuous EEG Data Accelerates Physician Review
Massachusetts General Hospital researchers have created an automated method of clustering continuous EEG data that allows physicians to annotate it about 45 times faster than with unaided manual review.
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Neural Network Beats Experts at Detecting Epileptiform Discharges on EEGs
SpikeNet, a computer algorithm that analyzes EEG waveforms, was more accurate than fellowship-trained clinical neurophysiologists and the standard commercial software at detecting interictal epileptiform discharges.
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