The present invention relates to an apparatus for task determination during brain activity analysis. The apparatus comprises an input unit (20), a processing unit (30), and an output unit (40). The input unit is configured to provide the processing unit with measurement data of the brain of a patient performing a task during brain activity analysis. The processing unit is configured to determine a measure of brain activity based on the measurement data of the brain. The processing unit is configured to determine: that the patient should perform a different task to the task they are currently performing and select the different task; or that the patient should continue performing the task that they are currently performing; or that the patient should stop performing the task; The determination comprises utilization of information relating to the task and the determined measure of brain activity and information relating to a plurality of reference tasks and associated plurality of reference measures of brain activity. The output unit is configured to output an indication that the patient should perform the different task, that the patient should continue performing the task, or that the patient should stop performing the task.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

The invention comprises an elongated device adapted for insertion, including self-insertion, through the body, especially the skull. The device has at least one effector or sensor and is configured to permit implantation of multiple functional components through a single entry site into the skull by directing the components at different angles. The device may be used to provide electrical, magnetic, and other stimulation therapy to a patient's brain. The lengths of the effectors, sensors, and other components may completely traverse skull thickness (at a diagonal angle) to barely protrude through to the brain's cortex. The components may directly contact the brain's cortex, but from there their signals can be directed to targets deeper within the brain. Effector lengths are directly proportional to their battery size and ability to store charge. Therefore, longer angled electrode effectors not limited by skull thickness permit longer-lasting batteries which expand treatment options.

Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

The present invention relates to a digital content-based method for providing therapeutics information, the method comprising: a first step of performing stimulation on a brain of a user to obtain fNIRS (functional near-infrared spectroscopy) data of the user; a second step of extracting a first brain activation area from a plurality of brain areas of the user using the obtained fNIRS data; a third step of determining a first brain state of the user, based on the first brain activation area; a fourth step of providing the user with a content determined corresponding to the first brain state determined in the third step under an XR (Extended Reality) environment; a fifth step in which the user performs a mission corresponding to the content; a sixth step of extracting a second brain activation area from the plurality of brain areas with reference to the fNIRS data of the user following performing the mission; and a seventh step of determining a second brain state of the user, based on the second brain activation area; an eighth step of determining information related to amelioration of the brain state of the user.

An apparatus for generating a prediction that a patient will experience a seizure by monitoring a patient's body temperature over time is provided. The apparatus may include a sensor to sense temperature. The apparatus may monitor, using the sensor, the body temperature of the patient and compare the body temperature over a first period of time and a second period of time. The apparatus may generate a prediction of whether the patient will experience a seizure following the second period of time based at least in part on a result of the comparing.

A system and method provides closed-loop sedation, anesthesia, or analgesia by monitoring EEG and automatically adjusting the delivery of sedative, anesthetic, and/or analgesic drugs to maintain that desired level of cortical activity for transportation or evacuation of the injured, and for closed-loop anesthesia during surgical care, and at all echelons of care.

In some examples, a device for detecting seizure events can include a non-transitory machine readable medium storing instructions executable by a processing resource to generate a point cloud of an object, monitor a movement of the generated point cloud based on data received from a sensor, and detect a seizure event based on the monitored movement

According to an embodiment, a method of processing acceleration information by a wearable device is provided, the method including: acquiring the acceleration information indicating acceleration according to movement of the wearable device; acquiring a plurality of acceleration characteristics including a plurality of characteristics of a power spectrum of the acceleration and a range of the acceleration on the basis of the acceleration information; determining characteristic values according to two characteristics determined according to a type of a disease to be monitored among the plurality of acceleration characteristics; and providing an alarm signal in response to the characteristic value falling within an abnormality range.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.