Epilepsy monitoring is vital to the accurate diagnosis of uncontrolled seizures and to prepare epilepsy surgery. The epilepsy monitoring unit (EMU) performs continuous video EEGs.
The video records the patient’s physical activity, including seizures and what happens precisely before and after a seizure. Simultaneously with the video recording, the EEG records brain activity. Both video and EEG information allows physicians to pinpoint the type of seizure that is occurring and precisely locate the source. On the one hand it is necessary to keep the patient as close as possible in the focus of the video to see also e.g. small muscle twitches, on the other hand the patient should also have the freedom to move around in his or her room.
For this purpose today’s video EEG systems use pan/tilt/zoom-cameras. They are manually controlled by medical staff who are usually in charge of continuously controlling the camera to keep the patient in focus, and at the same time to observe EEG activity for diagnosis. However, manual camera control and video monitoring over a longer period of time requires a lot of attention and direct camera control access which is sometimes hard to fulfill by all tasks need to be covered by the medical staff.
To overcome this daily challenge, NIHON KOHDEN and the Fraunhofer IOSB have developed an innovative automated patient tracking system, which consists of a two-camera-setup connected to the new Patient-Tracking-Software for video processing and camera control.
A static wide angle camera provides an overview of the entire monitoring room, while a pan/tilt/zoom-camera is used for active high resolution patient observation. But the core component of the system is the new Patient-Tracking-Software, with integrated real-time video analytics for patient tracking and camera control. Highly efficient and robust visual marker detectors combined with color object trackers allow for 3D object localization in real-time and for a fully automated camera control.
COMPAMED.de; Source: Fraunhofer IOSB