A device or system including an assessment device with a body with a top surface ruled with a pattern to or instruct students in their parts during a physical position or movement between different positions, such as may be learned in a class or virtual class. The rulings include vertical lines and horizontal lines at various spaces, spacings, and intersections.

Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

A method for acquiring image data of a body part of a patient by means of a ultrasonography device comprising the following steps: providing a transducer of the ultrasonography device, said transducer comprising a first orientation sensor; attaching a second orientation sensor to the skin of the patient above the body part; detecting the orientation of the first orientation sensor relative to the second orientation sensor and verifying, whether the relative orientation corresponds to a target value; and acquiring image data of the body part, once the relative orientation corresponds to the target value.

According to one aspect, a system for augmented reality visualization of benign paroxysmal position vertigo (BPPV) disorder. The system includes a camera configured to capture an image sequence, a processing unit configured to generate at least one virtual model of an inner ear, wherein the at least one virtual model of the inner ear comprises an accurate anatomical representation of a real human inner ear; and a display configured to display the at least one virtual model of the inner ear over the image sequence.

Systems, devices and methods for managing personal activities and health regimens are provided. In some aspects, a control system comprising specialized computer hardware and software provides instruction(s), warning(s), penalty(ies), encouragement(s) and incentive(s) to a user, based on such a health regimen. In additional aspects, such instruction(s), warning(s), penalty(ies), encouragement(s) and incentive(s) are also based on data from specialized sensors tracking a user's personal activities within a personal activity space. In some aspects, instruction(s), warning(s), penalty(ies), encouragement(s) and incentive(s) are adjusted in real time, based on input from multiple users. In one example, a partial giveback reward is provided to a user, in which part of a regimen goal that is exceeded is provided back to the user as one such incentive.

A computer-implemented medical method of determining a breathing signal of a patient is disclosed. The method includes determining a motion trajectory of a structure associated with at least one body part of the patient, the motion trajectory being indicative of a respiratory movement of the structure, acquiring surface data representative of a position of a surface region of the patient, computing an intersection of the determined motion trajectory and the acquired surface data, and determining a breathing signal of the patient based on the computed intersection. The breathing signal is indicative of a breathing state of the patient.

Ultrasound device configured to carry out a HIFU treatment and to detect in real time during the HIFU treatment the temperature distribution in the area of treatment, comprising: an ultrasound probe comprising at least an array of piezoelectric or CMUT transducers, —piloting means of said ultrasound probe, computing means configured to receive and store said raw ultrasound signals reflected by said tissues and acquired by each of said piezoelectric or CMUT transducers, to process said reflected raw ultrasound signals in order to generate an ultrasound image, as well as to carry out other processing on said raw ultrasound signals reflected by said tissues, characterized in that computer programs are loaded on said computing means, configured to carry out the method for determining the actual acoustic heating rate of tissues, comprising the following steps: a) identifying, inside an ultrasound image (14), a region of interest (15) inside which an area to be treated (16) is provided, b) assigning a starting temperature distribution, by means of which a temperature value is assigned to each point of ROI, c) emitting a high intensity ultrasound beam (100) focused on a focal point (11) contained in said ROI for a predetermined time interval, and subsequently a broadband ultrasound pulse (200), and detecting the ultrasound signal reflected and/or emitted by the tissues under treatment, d) carrying out the frequency transform of said reflected ultrasound signal in response to said broadband ultrasound pulse (200), in order to obtain a reference frequency spectrum (200s), e) repeating steps c) and d) iteratively, thus obtaining a frequency spectrum for each iteration, f) assuming that the temperature at the focus (11) is equal to a predetermined temperature and function of the tissue in the treatment step when the frequency spectrum (202s) detected in response to a broadband ultrasound pulse (202) comprises a plurality of peaks (2021) not provided in the reference frequency spectrum (200s), g) determining the actual acoustic heating rate Q as a function of said predetermined temperature, of the intensity of said high intensity ultrasound beam (100).

A system for monitoring the respiratory activity of a subject, which comprises one or more movement sensors, applied to the thorax of a subject, for generating first signals that are indicative of movement of the thorax of the subject; a receiver for receiving the first generated signals during breathing motion of the subject; and one or more computing devices in data communication with the receiver, for analyzing the breathing motion. The computing device is operable to generate a first breathing pattern from the first signals; divide each respiratory cycle experienced by the subject and defined by the first pattern into a plurality of portions, each of the portions delimited by two different time points and calculate, for each of the plurality of portions of a given respiratory cycle of the first pattern, a slope representing a thorax velocity; derive, from the given respiratory cycle of the first pattern, a pulmonary air flow rate of the subject during predetermined portions of the respiratory cycle; compare between corresponding portions of the first pattern and average flow rates during different phases of the breathing cycle, to calibrate a thorax velocities of the subject with pulmonary air flow rates; and determine respiratory characteristics of the subject for subsequent respiratory cycles experienced by the subject, based on a calculated thorax velocity and the calibration.

A system, method and apparatus for assessment and optional treatment of spatial attention deficit, such as neglect for example, with computational feedback, based upon tracking the movement of the user.

Example methods and systems may be used intraoperatively to help surgeons perform accurate and replicable surgeries, such as knee arthroplasty surgeries. An example system combines real time measurement and tracking components with functionality to compile data collected by the hardware to register a bone of a patient, calculate an axis (e.g., mechanical axis) of the leg of the patient, assist a surgeon in placing cut guides, and verify a placement of an inserted prosthesis.