Disclosed is a contactless event monitoring and early detection method and system of real time monitoring of a person to predict an undesired event. The contactless event monitoring and early detection method collects data from a one or more data aggregation devices and filters the collected data in a signal processor. The contactless event monitoring and early detection method then analyzes the collected data in an event monitoring and detection processor. The event monitoring and detection processor implementing artificial intelligence algorithms to predict the probability of the occurrence of to the undesired event. Further, the event monitoring and detection processor receives a health data related to the person and selects an analytical model to be applied for prediction of the undesired event. In one embodiment, the probability of occurrence of the undesired event is associated on a threshold value. The threshold value is related to at least one early indicator associated with the person. The contactless event monitoring and early detection method then preempts the person about the onset of the undesired event by sending an alert to the person and a caretaker for remedial action.

Systems and methods for tracking EEG data and providing enhanced seizure detection and prediction are disclosed. The systems and methods use input sensors for receiving and collecting data from a plurality of EEG channels in association with a subject and processing said data to calculate and average Lyapunov exponents for a composite EEG data set. The systems and methods convert the average Lyapunov exponents into graphical representations that are displayed against a time axis. The graphical output adjusts in real-time according to the input data obtained from EEG channels. The systems and methods utilize pattern recognition to output alarms based upon input data and recommend diagnoses related to seizures.

Representative methods, apparatus and systems are disclosed for providing concurrent electrical stimulation and electrical recording in a human or non-human subject, such as for neuromodulation, with the apparatus coupleable to an electrode array. A representative apparatus is typically an integrated circuit including: stimulation circuits, recording circuits, and blocking circuits responsive to control signals to block the stimulation voltage or current on an electrode from a corresponding recording circuit, while other recording circuits may simultaneously record electrical signals from other electrodes and generate recorded data. A representative stimulation circuit may include current sources; a first multiplexer for current source selection; a second multiplexer for electrode selection; a switchable voltage offset circuit; a switchable grounding circuit; and a stimulation controller providing control signals to provide the electrical stimulation, such as biphasic or monophasic stimulation, and bipolor or unipolar stimulation. Off-chip communication, control, along with power and voltage level control, are also provided.

Provided are systems, methods, and devices for providing mediation of a traumatic brain injury. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with a traumatic brain injury. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the traumatic brain injury. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.

Devices, systems and methods are disclosed for treating seizures, such as epileptic seizures, by electrical non-invasive stimulation of a nerve, such as the vagus nerve. A stimulator comprises a contact surface, such as an electrode, for contacting an outer skin surface of a patient. The stimulator is configured for coupling to a mobile device configured to receive a wireless signal. The stimulator is configured to transmit the electrical impulse through the contact surface and the outer skin surface sufficient to modulate a nerve within a patient and to ameliorate one or more symptoms of a seizure in the patient.

Neurological Disease Mechanism Analysis for Diagnosis, Drug Screening, (Deep) Brain Stimulation Therapy design and monitoring, Stem Cell Transplantation therapy design and monitoring, Brain Machine Interface design, control, and monitoring.

The present invention relates to an AI (Artificial Intelligence) based device for providing brain information comprising: a brain signal measuring portion that collects a signal related to user's brain; a brain signal stimulating portion that stimulates the user's brain for an operation of collecting a signal of the brain signal measuring portion; and a diagnosing portion that determines the user's brain state on the basis of the collected signal.

This invention incorporates analysis of electrooculographic (EOG) data into a methods and apparatus for reporting, alarming and intervening events and conditions. More particularly, EOG signals are analyzed separately from EEG signals, with the EOG signals used as a distinct source of information. The approach can identify patterns associated or predictive of seizures, syncope, drowsiness and loss of consciousness during night or day through the analysis of eye-movements recorded using just the EOG.

Devices, systems and methods are disclosed that allow a patient to self-treat epileptic seizures by electrical noninvasive stimulation of a vagus nerve. The system comprises a handheld stimulator that is applied to the surface of the patient's neck, wherein the stimulator comprises or is joined to a smartphone. A camera of the smartphone may be used to position and reposition the stimulator to a particular location on the patient's neck. The system may also comprise a base station that is used to meter the charging of a rechargeable battery within the stimulator. The base station and stimulator transmit data to one another regarding the status of a stimulation session.

Systems, apparatus, and methods for treating medication refractory epilepsy are disclosed. In one embodiment, a method of treating epilepsy is disclosed comprising detecting, using a first electrode array coupled to a first endovascular carrier, an electrophysiological signal of a subject. The method further comprises analyzing the electrophysiological signal using a neuromodulation unit electrically coupled to the first electrode array and stimulating an intracorporeal target of the subject using a second electrode array coupled to a second endovascular carrier implanted within a part of a bodily vessel superior to a base of the skull of the subject.