In various embodiments, the invention teaches systems and methods for magnetic resonance imaging. In some embodiments, the invention teaches systems and methods for determining the source of pain in intervertebral discs by measuring one or more physiological biomarkers associated with disc pain and/or disc degeneration.

An Example of a system for providing a patient with pain management may include a sleep monitoring circuit, a pain relief device, and a control circuit. The sleep monitoring circuit may be configured to sense one or more sleep signals from the patient and to determine a sleep state of the patient using the one or more sleep signals. The one or more sleep signals may include one or more physiological signals corresponding to the sleep state of the patient. The pain relief device may be configured to deliver one or more pain relief therapies. The control circuit may be configured to control the delivery of the one or more pain relief therapies using therapy parameters and to adjust the therapy parameters based on the determined sleep state.

The computer implemented method makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. A classifier is generated for discerning the stress or comfort/discomfort of a subject. The method comprising: a) imparting, to a subject, different stimuli under the same environment, and obtaining brain wave data or analysis data thereof for the environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the environment; c) generating a classifier for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.

According to the present application, a computer-implemented method of predicting thyroid eye disease is disclosed. The method comprising: preparing a conjunctival hyperemia prediction model, a conjunctival edema prediction model, a lacrimal edema prediction model, an eyelid redness prediction model, and an eyelid edema prediction model, obtaining a facial image of an object, obtaining a first processed image and a second processed image from the facial image, wherein the first processed image is different from the second processed image, obtaining predicted values for each of a conjunctival hyperemia, a conjunctival edema and a lacrimal edema by applying the first processed image to the conjunctival hyperemia prediction model, the conjunctival edema prediction model, and the lacrimal edema prediction model, and obtaining predicted values for each of an eyelid redness and an eyelid edema by applying the second processed image to the eyelid redness prediction model and the eyelid edema prediction model.

Systems and methods for intelligently and accurately triaging a patient are provided. The systems and methods access an electronic health record of the patient based on a detection of an event, such as entering an emergency department. Additionally, the systems and methods collect triage vitals of the patient. Further, free-text within the electronic health record is mapped and binned. In response to the mapping and the binning, the systems and methods input features into an acuity level predictor. Based on inputting the features into the acuity level predictor, the systems and methods output an acuity level of the patient for triaging the patient.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

The present invention relates to a system for monitoring a physical movements of a user, the system comprising: a detection unit configured for receiving a signal obtained by a sensor device representative of a sensed bodily activity, calculating a load index value and communicate, e.g. to the user wearing the sensor device, the value of the load index value. The invention also relates to a method for monitoring and evaluating physical movement of a user and providing feedback to the user.

Ocular photosensitivity analyzer. In an embodiment, a programmable light source, comprising a plurality of multi-spectra light modules, is configured to emit light according to a lighting condition. For one or a plurality of iterations, the programmable light source is activated to emit the light according to the lighting condition, and collect a response, by a subject, to the emitted light via a sensing system comprising one or more sensors. Between iterations, the programmable light source may be reconfigured based on the response to determine a visual photosensitivity threshold of the subject.

A method and an apparatus for establishing absence of pain in a human or other mammal have been disclosed. The method comprises the steps of providing a skin conductance signal measured at an area of the mammal's skin through a time interval; detecting peaks in the skin conductance signal through said time interval; determining a rate of the peaks through the time interval; comparing the determined rate of peaks with a predetermined reference value; and if the measured rate of peaks is lower than the predetermined reference value, providing an output signal as indicating the state of absence of pain in the mammal.

Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises one or more sensors to sense physiological or functional information from the patient, a cloud-computing device communicatively coupled to the one or more sensors, and a remote device. The cloud-computing device receives patient data including physiological or functional information, and provides on-demand cloud-based services including storing the received patient data in a cloud storage, detecting a patient behavior, and generating a sensor operation recommendation based on the detected patient behavior. The remote device can access the cloud storage and the cloud-based services, and adjust operations of the one or more sensors in accordance with the sensor operation recommendation.