Abstract: A system includes an EEG headset, comprising EEG electrodes and InfraRed (IR) transmitters, to be worn by a subject. A recording unit is communicably coupled to the EEG headset and comprises a computing device for receiving EEG feed from the EEG headset, IR coordinates corresponding to the IR transmitters from an IR sensor, and a video recording of the subject from a video camera. The computing device is to identify a position of the subject based on the IR coordinates or the video recording or a combination thereof; cause the computing device to be reoriented based on the position of the subject; and facilitate detection and recording of seizure events based on the EEG feed or video recording or IR coordinates or a combination thereof. The computing device provides a seizure event report based on detection of the seizure events.

Abstract: Aspects of anonymization of audio-visual medical data are described. Video data comprising a sequence of images is received for monitoring a subject. One or more faces are detected in each image of the sequence of images. A face of the subject is identified amongst the one or more faces. The identified face is tagged as subject face and remaining faces are tagged as bystander faces. The bystander faces are masked. It is determined whether live monitoring is to be performed for the subject. Based on the determination, the subject face is morphed to obtain anonymized video data, wherein the morphing comprises changing landmark features without changing facial expressions.

Abstract: Aspects of anonymization of audio-visual medical data are described. Video data comprising a sequence of images is received for monitoring a subject. One or more faces are detected in each image of the sequence of images. A face of the subject is identified amongst the one or more faces. The identified face is tagged as subject face and remaining faces are tagged as bystander faces. The bystander faces are masked. It is determined whether live monitoring is to be performed for the subject. Based on the determination, the subject face is morphed to obtain anonymized video data, wherein the morphing comprises changing landmark features without changing facial expressions.

Abstract: 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.

Abstract: 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.

Abstract: The embodiments herein relate to screen recording and more particularly to creating and recording whiteboard contents along with audio and camera inputs in a mobile device. When the screen recording application is initialized, a canvas is created in sandbox of the screen recording application in the mobile device. Further a whiteboard content creation application is made run on the canvas. The content creation application creates separate recording threads for recording the whiteboard inputs and associated audio and video inputs. The inputs that are recorded using the created threads are then synchronized.