Novel 3D video action recognition deep learning approach for near real time epileptic seizure classification.

Seizure semiology is a well-established method to classify epileptic seizure types, but requires a significant amount of resources as long-term Video-EEG monitoring needs to be visually analyzed. Therefore, computer vision based diagnosis support tools are a promising approach. In this article, we utilize infrared (IR) and depth (3D) videos to show the feasibility of a 24/7 novel object and action recognition based deep learning (DL) monitoring system to differentiate between epileptic seizures in frontal lobe epilepsy (FLE), temporal lobe epilepsy (TLE) and non-epileptic events.

Case Report: Minimal Neurological Deficit of Two Adult Patients With Weston-Hurst Syndrome Due to Early Craniectomy: Case Series and Review of Literature on Craniectomy.

We describe two new cases of acute hemorrhagic leucoencephalitis (AHLE), who survived with minimal sequelae due to early measures against increased intracranial pressure, particularly craniotomy. The recently published literature review on treatment and outcome of AHLE was further examined for the effect of craniotomy. We present two cases from our institution.

Stenotrophomonas maltophilia brain abscesses after implantation of motor cortex stimulator.

We describe the first case of a patient with brain abscesses caused by Stenotrophomonas maltophilia as a complication after motor cortex stimulator implantation. Brain abscesses pose a challenge in diagnosis and treatment, because microbiological diagnosis is not always achieved, antibiotic drugs may not penetrate well into the CNS and some bacteria have resistances to typical empirical antibiotic drugs. In this case diagnosis was only made after removal of the stimulator and a long term treatment with antibiotic drugs was necessary.