Fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible, thanks to an algorithm using deep convolutional neural network architecture and ...
When she was 3 years old, Alana “Lani” Silverberg was eating a cookie when she started turning blue. Her mom, Sara, thought ...
A recent report has described the use of video-electroencephalography (video-EEG) in the management of patients with atypical juvenile myoclonic epilepsy (JME). The work highlights the importance of ...