Some methods of analyzing one or more sections of a central nervous system of a patient comprise, for each of the section(s), from data the includes one or more 3D representations of the section, segmenting each of the 3D representation(s) into ventral and dorsal portions and, for at least one of the 3D representation(s), determining a mean curvature of at least a region of a surface of the dorsal portion and/or a mean curvature of at least a region of a surface of the ventral portion. Each of the section(s) can include at least a portion of a brainstem of the patient.

An example device includes memory configured to store a measure of COPD severity of a patient and processing circuitry communicatively coupled to the memory. The processing circuitry is configured to receive an electromyogram (EMG) of the patient, receive one or more signals indicative of respiration rate of the patient, and receive one or more signals indicative of tidal volume of the patient. The processing circuitry is configured to determine, based on the respiration rate of the patient and the tidal volume of the patient, a minute ventilation of the patient. The processing circuitry is configured to determine, based on the minute ventilation of the patient and the EMG of the patient, the measure of COPD severity of the patient, and generate an indication for output that is based at least in part on the measure of COPD severity of the patient.

A system and method for classifying a structure or material in an image of a subject. The system comprises: a segmenter configured to form one or more segmentations of a structure or material in an image and generate from the segmentations one or more segmentation maps of the image including categorizations of pixels or voxels of the segmentation maps assigned from one or more respective predefined sets of categories; a classifier that implements a classification machine learning model configured to generate, based on the segmentations maps, one or more classifications and to assign to the classifications respective scores indicative of a likelihood that the structure or material, or the subject, falls into the respective classifications; and an output for outputting a result indicative of the classifications and scores.

Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters.

The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Systems, devices and methods for providing active and/or passive compression therapy to a body part can include a compression device worn over a compression stocking. The compression device can have a pulley based drive train that is driven by a motor to tighten and loosen compression elements, such as compression straps, in a precise, rapid, and balanced manner. Sensors can be used in the compression device and/or compression stockings to provide feedback to modulate the compression treatment parameters.

A system, device, and wireless computer technology-implemented method for providing hearing healthcare education and communication for a patient, his/her communication partner, and a hearing care provider. The system provides the patient at least one educational and experiential module and a method for assessing the patient's comprehension of the module's lessons. The system further provides the patient with a method to select personal hearing aid and communication goals; a method to evaluate his/her progress on achieving each personal goal; and a method to report his/her hearing experiences. The system further provides a method to compare data reported by the patient to personalized thresholds. When one or more of the patient's reports do not meet the thresholds, the system sends automated alerts to the hearing care provider to encourage prompt remedial action and sends automated reminders to the patient to improve the patient's ability to achieve his/her personal goals.

The invention relates to a method for detection of a relapse into a depression or mania state of a patient from a remission state wherein motor activity data is recorded using a wearable device worn by the patient and is received as input data by an evaluating unit and/or mood data is acquired by obtaining a questionnaire which has been completed by the patient, the questions of the questionnaire relating to the mania state, to the depression state and the questionnaire including at least one control question for checking the awareness and/or the ability to focus of the patient, the questions being designed such that they can be answered by multiple choice, and wherein the answers of the patient are input as input data into the evaluating unit, the input data is analyzed by the evaluating unit, wherein the condition of the patient is classified as remission, mania or depression by means of machine learning, and wherein a relapse is detected if the patient is classified as mania or depression.

Further aspects of the invention relate to an evaluating system for detection of a relapse into a depression or mania state of a patient in a remission state based on motor activity data and/or mood data.

Apparatus and methods for hyperspectral imaging analysis that assists in real and near-real time assessment of biological tissue condition, viability, and type, and monitoring the above overtime. Embodiments of the invention are particularly useful in surgery, clinical procedures, tissue assessment, diagnostic procedures, health monitoring, and medical evaluations, especially in the detection and treatment of cancer.

Provided herein are processes for detecting oligosaccharides in a biological sample. In specific instances, the biological sample is provided from an individual suffering from a disorder associated with abnormal glycosaminoglycan accumulation.

An interactive gaming system is disclosed. The system comprises at least one sensor that conveys information to the system about the physical, intellectual, mental, emotional, psychological or other type of ability of a user. The system uses the information to assess the existence and extent of a disability, and then implements a change to an aspect of the gaming environment, thus optimizing the gaming experience for the game player by accounting for the game player's disabilities.