Procedure and a portable apparatus for diagnosis of seizures
There are disclosed systems and methods for seizure diagnosis by video electroencephalography (Video-EEG). There is disclosed a fully automated, portable, point-of-care diagnostic video EEG device. In an embodiment, the device includes a tracker configured for placement on a patient. The tracker has a set of sensors disposed thereon. An EEG headset is configured for detecting electrical activities of a brain of the patient. The EEG headset is configured for communicating the electrical activities of the brain of the patient. A telescoping stand provides built-in sensors. A mobile computing device is in communication with the built-in sensors and in communication with the EEG headset. A set of wheels provides controlled movement of the telescoping stand. Other embodiments are also disclosed.
1. A fully automated, portable, point-of-care diagnostic video EEG system, the system comprising:
a tracker configured for placement on a patient, the tracker having a set of sensors disposed thereon;
an EEG headset configured for detecting electrical activities of a brain of the patient, and the EEG headset configured for communicating the electrical activities of the brain of the patient; and
a telescoping stand with built-in sensors, a mobile computing device in communication with the built-in sensors and in communication with the EEG headset, and a set of wheels for controlled movement of the telescoping stand.
2. The system of claim 1 , wherein the tracker further comprises at least one of an internal motion unit (IMU) sensor, a radio sensor and plurality of IR receivers for communicating with telescoping stand.
3. The system of claim 1 , wherein the telescoping stand includes at least one of a plurality of IR and ultra sound (US) sensors for analyzing movements of the patient in any direction and radio transceivers for communication.
4. The system of claim 3 , wherein the telescoping stand is configured to automatically track and move to follow the patient when the patient moves from one place to another.
5. The system of claim 1 , wherein the mobile computing device further comprises custom written software such as camera application software, EEG software, motion detection/subject tracking/subject monitoring software, obstruction detection software, seizure detection and event tagging software, device software for tracker and stand, communication software, and notification software[, and android or other operating system, APIs (Application programming interface)].
6. The system of claim 1 , wherein the tracker is a cap configured for placement on the patient, and the set of sensors is disposed on the cap.
7. The system of claim 6 , wherein the tracker is configured for disposal over the EEG headset.
8. The system of claim 1 , wherein the tracker and the EEG headset are integrated with one another.