An optogenetic system and method for preventing or halting seizures. The system and method use a sensor for monitoring the activity of a neural network containing a group of target neurons, and generating an input signal indicative of said activity, the target neurons being excitatory neurons. Excitatory stimulation is delivered in the form of an optical signal by an optical stimulator to the target neurons, the optical signal being determined based on the input signal, to reduce the overall activity of the target neurons.

Systems configured to acquire temperature signals from an Abreu Brain Thermal Tunnel (ABTT), to analyze the temperatures signals, and to determine a condition of a human body from the analysis, and a method for doing the same, are described. In addition, systems for application of thermal signals to the ABTT for treatment of conditions are described.

A modeling method for screening surgical patients, used in analysis modeling for heart rate variability (HRV). Low-cost, portable and wearable signal acquisition equipment is utilized to acquire an electrocardiography (ECG) signal of an epileptic 24 hours before surgery; a multiscale entropy (MSE) of the ECG is calculated by means of a programmed HRV analysis method, wherein characteristic parameters representing heart rate complexity are extracted on the basis of an MSE curve, and a medical refractory epileptic suitable for vagus nerve stimulation (VNS) surgery is accurately and efficiently screened, thus avoiding unnecessary expenditures and avoiding delaying an optimal opportunity for treatment. Meanwhile, the curative effects of the VNS treatment may be wholly improved by means of clearly selecting VNS surgical indication patients according to the characteristic parameters of the MSE complexity of the ECG.

A deep intracranial electrode which comprises a flexible wire, an electrode contact, a connector and a shield sleeve, one end of the flexible wire is connected to the electrode contact, the other end connected to the connector; the shield sleeve sheathes around the flexible wire, a sum of a length of a part of the flexible wire arranged outside the shield sleeve and a length of the shield sleeve being adjustable. When the shield sleeve sheaths around the flexible wire, the length of the flexible wire inside the radio-frequency magnetic field of the magnetic resonance equipment may equal to a sum of the length of the shield sleeve and a length of the flexible wire outside the shield sleeve.

A deep intracranial electrode which comprises a conducting wires, an electrode contact, a connector and a nonelastic sleeve is provided, one end of the conducting wires connected to the electrode contact, the other end connected to the connector; the nonelastic sleeve sheathes around the conducting wires, and one end of the nonelastic sleeve is capable of being connected to the connector, the other end connected to the fixing nut which is fixed to a skull. When the deep intracranial electrode is under a pulling force, the fixing nut may avoid the nonelastic sleeve from moving, thereby avoiding the deep intracranial electrode from being pulled out.

A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.

The invention relates to a method for detecting epileptic or psychogenic seizures, comprising the steps of: a. recording a large number of temporally sequential parameter values for a parameter type, wherein a parameter value is determined on the basis of a series of temporally sequential RR intervals, the series of temporally sequential parameter values preferably differing in that the series that served as the basis for determining the following parameter value includes, in place of the oldest RR interval of the series that served as the basis for determining the preceding parameter value (preceding series), the RR interval temporally subsequent to the most recent RR interval of the preceding series, b. comparing the time course of the parameter values with the time course of parameter values for the same parameter type that had been determined according to method step a, and the determination thereof is based on RR intervals that indicate a seizure (parameter reference values), c. identifying a seizure when the time course of the parameter values exhibits a characteristic of the time course of the parameter reference values (course characteristic) indicating a seizure.

Embodiments may provide multimodal diagnostic systems and methods for detecting neurological disorders, such as Alzheimer's disease (AD), Parkinson's disease (PD), depression, PTSD, schizophrenia, dementia and many others. For example, a system for monitoring brain activity may comprise a plurality of sensors, each adapted to monitor a physical or physiological parameter and output a signal representing the monitored physical or physiological parameter, wherein the plurality of sensors includes at least one sensor configured to monitor a brain activity parameter, a data collection device adapted to receive the plurality of signals from the plurality of sensors and to process the signals to form digital data representing the monitored physical or physiological parameters, and a data processing device adapted to process digital data representing the monitored physical or physiological parameters to determine presence of a neurological disorder or condition.

According to an aspect of the invention there is provided a system for use in monitoring one or more physiological states of a user, the system comprising one or more processors configured to: receive a pressure signal representing pressure within a cushioning layer supporting at least a portion of a user and an acoustic signal representing acoustic vibrations within the cushioning layer; and determine, based on the pressure signal and acoustic signal, the one or more physiological states of the user.

A method of detecting an improvement in a seizure condition of a patient includes identifying a first EEG synchronization of the seizure condition of the patient; applying a therapy configured to improve the seizure condition of the patient; and identifying a second EEG synchronization of the seizure condition of the patient subsequent to application of the therapy, wherein an improvement of the seizure condition of the patient is demonstrated by a reduced EEG synchronization of the patient such that the second EEG synchronization is less than the first EEG synchronization.