There is described a method and system for measuring a level of anxiety. Measured data comprising EEG data collected from a parietal (P) EEG electrode is received. A group 8 indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range is extracted. Based on said group 8 indicator, a level of anxiety, LoA, is determined which is a value indicative of the level of anxiety of the subject.

A ventilation device for artificial ventilation, having: —a ventilation gas source; —a ventilation conducting assembly for conducting inspiratory ventilation gas from the ventilation gas source to a patient-side, proximal ventilation-gas outlet opening and for conducting expiratory ventilation gas away from a proximal ventilation-gas inlet opening; —a pressure-changing assembly for changing the pressure of the ventilation gas flowing in the ventilation conducting assembly; —a control device, which is designed to control the operation of the ventilation gas source and/or the operation of the pressure-changing assembly; —an evaluation device for processing sensor signals; and —an O2 sensor assembly for determining an O2 concentration value representing the oxygen concentration of the ventilation gas flowing in the ventilation conducting assembly, wherein the O2 sensor assembly outputs O2 sensor signals, which contain information regarding the O2 concentration value, to the evaluation device, and wherein the evaluation device is designed to determine, on the basis of the O2 sensor signals, an O2 change value representing a change in the O2 concentration value and, if the O2 change value satisfies a predefined condition, to infer degradation of the O2 sensor assembly and to output a signal.

An implantable drug delivery device and method for delivering a drug to a living body. The device includes a housing having at least one opening, a reservoir within the housing adapted to contain a drug, a temporary seal closing the opening of the housing, and a heating element in thermal contact with the temporary seal. The heating element is adapted to generate heat in response to a magnetic field to melt the temporary seal and release a drug within the reservoir through the opening of the housing.

Systems and methods are disclosed for assessing cardiovascular disease and treatment effectiveness based on adipose tissue. One method includes identifying a vascular bed of interest in a patient's vasculature; receiving a medical image of the patient's identified vascular bed of interest; identifying adipose tissue in the received medical image; receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest; and computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue.

The present disclosure relates to sensing devices, systems, and their methods of use for aiding transcutaneous magnetic stimulation (tMS) therapy, such as for the treatment, alleviation, and the management of pain. The sensing device being configured for determining and measuring the efficacy thereof. Particularly, the present disclosure is directed to providing sensing devices, systems including the same, and their methods of use in identifying and targeting one or more sources of pain, such as chronic neuropathic pain, as well as for facilitating in the treatment thereof.

The present invention provides method for monitoring physiological status of an organ in a subject by monitoring morphological changes over time in transplanted tissue on an eye of the subject.

A system and method are provided for monitoring subject behavior during sleep onset. In some aspects, a system includes one or more sensors configured to acquire behavioral data from a subject using input provided during sleep onset. The system also includes a processor programmed to at least assemble a time-series of behavioral responses using the behavioral data acquired using the one or more sensors, and estimate an instantaneous probability of response using the time-series of behavioral responses. The processor is also programmed to generate a statistical model of wakefulness using the instantaneous probability of response, and estimate, using the model, a probability indicative of a degree to which the subject is awake at each point in time during the sleep onset process. The processor is further configured to generate a report indicative of sleep onset in the subject. The system also includes an output for displaying the report.

In various embodiments, a method for determining a homogeneity of complexion is provided. The method may include provision of a digital image on which skin is portrayed and which is parameterized in a color space which is defined by a parameter set in which one of the parameters is a hue, identifying and/or defining at least one skin examination area in the transformed image, calculating a hue distribution in the at least one skin examination area, and determining at least one homogeneity value for the complexion based on the calculated hue distribution.

The present invention relates to a method for predicting a drug-drug interaction and a drug-food interaction by using structural information of a drug and, more particularly, to a method for predicting the mechanism of action and activity of a drug interaction through interaction prediction results expressed by a standardized sentence. When using a method for predicting a drug interaction according to the present invention, a drug interaction can be predicted quickly and accurately, and in particular, activity information of an unknown compound can also be predicted by expressing a prediction result by means of a sentence, and thus the method is very useful for developing a drug exhibiting desired activity without causing adverse effects.

An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.