A method and an apparatus for analyzing heart rate Variability (HRV), and use thereof are provided. A low-cost, portable and wearable signal acquisition device is utilized to acquire electrocardiography (ECG) signals of epilepsy patients for 24 hours before treatment, and a time domain index, a frequency domain index and a nonlinear index of the ECG during a long term and during a short term are calculated with a programmed HRV analysis method, and the efficacy of vagus nerve stimulation (VNS) treatment for patients with medically intractable epilepsy is accurately and efficiently predicted based on characteristic parameters for characterizing an effect level of the vagus nerve regulating the heart rate, i.e., vagus nerve activity, thereby avoiding unnecessary costs and avoiding the delay of the optimal treatment timing. In addition, the characteristic parameters obtained by the HRV analysis on the ECG may be utilized to clearly select VNS treatment indication patients.

A system and a method for processing multiple signals generated by sensors processing to identify and/or monitor physiological data of an individual (for example in healthcare system) or general statement of an environment, a predetermined space (for example a room, a machine, a building) or an object (for example in smart home system, environment monitoring system, fire prevention system or the like).

According to an aspect, there is provided an apparatus (2) for detecting an epileptic seizure in a subject, the apparatus (2) comprising a processing unit (4) configured to obtain head movement measurements, wherein the head movement measurements are measurements of movements of a head of the subject; obtain pupil position measurements, wherein the pupil position measurements are measurements of a position of a pupil in a visible part of an eye of the subject; process the head movement measurements relating to a time period to determine if the head moved in the time period; and, if the head moved in the time period, process the head movement measurements and the pupil position measurements for the time period to determine whether the subject experienced a seizure in the time period.

There is provided a neurostimulator and method for delivering to a subject a stimulation in response to a predicted or detected condition. The neurostimulator including: a power circuit for providing electrical power to the neurostimulator; a recording array having a plurality of electrodes for recording a plurality of neurophysiological signals corresponding to a plurality of sites of the subject; a signal processor configured to: determine a phase synchrony among the neurophysiological signals; and associate selected phase synchrony calculations with the prediction or detection of a neurological or neurophysiological condition; and one or more stimulators for delivering to the subject a stimulation in response to the predicted or detected condition.

The device includes a housing fastenable to a subject's upper arm wherein housing and upper arm have parallel longitudinal axes. The housing accommodates a control circuit including a processing unit, a physiological sensor and an acceleration sensor for providing a sensor signal and an acceleration signal, respectively to the processing unit. The processing unit includes an evaluation function for evaluating the sensor signal and providing a detection signal, a generator function generating a signal indicative of an occurrence of an epileptic seizure from said detection signal, a posture determination function using the acceleration signal and arranged within the housing for establishing an angle between the housing's longitudinal axis and a gravity vector, and for determining whether the angle is within a predetermined range corresponding to the upper arm lying down. The evaluation function further reduces a sensitivity of evaluating the sensor signal when the angle is within the predetermined range.

A system and method for diagnosis and therapeutic treatment of patients with neurological disease from a plurality of sensors, and in particular, to such a system, method and apparatus for analyzing data from a plurality of sensors with an AI (artificial intelligence) algorithm.

Fixational eye movement may be analyzed to determine one or more characteristics thereof. Exemplary characteristics include measurements of microsaccade and drift measurement. These measurements may be correlated to a value for a diagnostic indicator for a neurological disorder or disease. These correlations may be used to diagnose, monitor, and prognosticate neurological disorders without administration of traditionally used neurological function tests or analysis of biological samples by which the diagnostic indicators are typically determined.

A cortical access system for delivering a medical tool into an epidural and/or subdural space and onto a patient's brain tissue through a cranium opening comprises: a turret including a proximal end portion, a distal end portion, and a first channel extending from an entrance opening to an exit opening, the first channel configured to guide the medical tool from the entrance opening to the exit opening for positioning on the patients brain tissue. The medical tool may be an electrode or an endoscope.

The invention presented personalized biofeedback computerized system, an End-to-End eHealth smart platform for analysis, diagnosis and therapy of types of behavioral disorders. The system comprises a Captive Portal (CP) data input for initial input data and for continuous input data, a database comprising data, a Computer Processing Manager (CPM) for processing the patient data and the database, a Graphical User Interface (GUI) for interfacing with a user, and an Electroencephalography (EEG) or hemoencephalography (HEG) cap for stimulating predetermined areas in the brain, wherein the CPM is interconnected to the CPP, the database and the GUI, the CPM provides instructions for cranial electrode mediated stimulation to the areas in the brain according to a predetermined patient data dependent protocol, and the database provides external data. A preferred embodiment of the invention is a multilayered bio-feedbacking system.

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.