The present invention relates to a physiological monitor and system, more particularly to an electroencephalogram (EEG) monitor and system, and a method of detecting the presence or occurrence of suppression in the EEG signal. Accurately detecting signal suppression in real-time provides the clinician with the ability to prevent possibly severe, long-term damage to patients as a result of excessive anesthetic or sedative. The present invention provides such a system and method for accurately and automatically detecting suppression in physiological, particularly EEG, signals in real-time and allowing for the administration of treatment or medication to reverse the effects of such situations, or minimize the harm caused. The present invention also allows for the use of closed-loop treatment or drug delivery systems to further automate the process and provide rapid treatment to a patient to reverse or minimize potential harm.

Methods, systems and wearable devices for real-time mental stress assessment are provided. The methods and systems employ deep learning using a Gated Recurrent Unit (GRU) gating mechanism in a recurrent neural network with a sliding window approach applied to raw EEG data.

A target location for a therapeutic intervention is determined in a subject with a neurological disorder. The target location is selected within at least one resting state network (RSN) map according to a predetermined criterion for the neurological disorder. The at least one RSN map includes a plurality of functional voxels within a brain of the subject, and each functional voxel of the plurality of functional voxels is associated with a probability of membership in an RSN. Instructions are transmitted to a treatment system that cause operation to be performed on the selected target location.

A system and method for delivering radiation therapy to a patient includes generating a radiation therapy plan and adjusting a shape of at least one of a plurality of multi-leaf collimators (MLCs) arranged in an arc about a patient bed to create a respective plurality of desired beam profiles for each of the plurality of MLCs to thereby implement the ultrafast radiation therapy plan delivery. The method further includes control a radiation therapy source to execute the radiation therapy plan by creating the respective plurality of desired beam profiles for each of the plurality of MLCs.

A biological function estimation device includes a processor configured to predict a drug reaction in a patient based on an evaluation value obtained by evaluating a biological function of the patient from a test result before drug administration and data on a drug to be administered to the patient, and configured to correct the evaluation value according to a comparison result between an obtained prediction value and a measurement value obtained by measuring the drug reaction after the drug administration.

A monitoring unit which is configured to monitor a patient during an operation of a high-frequency surgery device, wherein the high-frequency surgery device is configured to separate and/or coagulate biological tissue by means of high-frequency electrical energy, wherein the monitoring unit has: measuring electrodes which are disposed in a periphery of the patient, and an evaluation and control unit which is configured to impress a predetermined measuring alternating voltage or a predetermined measuring alternating current on the measuring electrodes, and to monitor an impedance decreasing between the measuring electrodes and to monitor a time curve of the impedance and/or to monitor a temporal change thereof

Systems, devices, and methods described herein relate to multi-sensory presentation devices, including virtual reality (VR) devices, visual display devices, sound devices, haptic devices, and other forms of presentation devices, that are configured to present sensory elements, including visual and/or audio scenes, to a user. In some embodiments, one or more sensors including electroencephalography (EEG) sensors and a photoplethysmography (PPG) sensors, e.g., included in a brain-computer interface, can measure physiological data of a user to monitor a state of the user during the presentation of the visual and/or audio scenes. Such systems, devices, and methods can adapt one or more visual and/or audio scenes based on user physiological data, e.g., to control or manage the state of the user.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

The present invention relates to treatment of a psychiatric condition, for example resistant depression (RD), bipolar disorder (either threshold or sub-threshold) and/or major depressive disorder via application of repetitive transcranial magnetic stimulation with a drug treatment, in particular application of repetitive transcranial magnetic stimulation with treatment to modulate the activity of the neurones and induce neuroplasticity and the use of Thyroid hormone treatment to increase quantity or activity of thyroid hormones, for example for treatment of thyroid dysfunction. Patients may be selected for treatment by testing for the presence of normal thyroid function.

Sense amplifier circuits particularly useful in sensing neural responses in an Implantable Pulse Generator (IPG) are disclosed. The IPG includes a plurality of electrodes, with one selected as a sensing electrode and another selected as a reference to differentially sense the neural response in a manner that subtracts a common mode voltage (e.g., stimulation artifact) from the measurement. The circuits include a differential amplifier which receives the selected electrodes at its inputs, and comparator circuitries to assess each differential amplifier input to determine whether it is of a magnitude that is consistent with the differential amplifier's input requirements. Based on these determinations, an enable signal is generated which informs whether the output of the differential amplifier validly provides the neural response at any point in time. Further, clamping circuits are connected to the differential amplifier inputs to clamp these inputs in magnitude to prevent the differential amplifier from damage.