System and methods for video-based neonatal patient monitoring are described. Methods for neonatal patient monitoring can generally include use of a non-contact detector, such as a depth-sensing camera, to obtain data pertaining to the neonate that can then be used to calculate or otherwise determine a neonate patient breathing parameter, such as respiratory volume. The method further includes monitoring the breathing parameter to identify the occurrence of a neonate breathing event, such as apnea, and initiating a neonate stimulation event when a breathing event is identified. The stimulation event can include, e.g., vibration, auditory signals, visual signals, and/or other types of tactile signals. The systems and methods can use additional monitoring apparatus to monitor additional neonate health parameters, and incorporate this additional information into the decision of when a stimulation event should be initiated.

A treadmill according to the present invention includes: a frame; an endless belt; an endless-belt drive unit; a plurality of cameras provided on the frame such that the orientations and/or locations thereof can be adjusted; a motion-data acquisition unit that markerlessly acquires motion data of a subject by using image information obtained with camera images; a motion analysis unit that analyzes the motion of the subject by using the motion data; and a control unit that controls the endless-belt drive unit based on the motion data.

Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

A computer-implemented system and associated methods are disclosed including a device for personalized activity monitoring using the hands The device is worn about a wrist and captures images along the wrist including movement of the hands to monitor predetermined hand movements relative to an object of interest.

Technologies for evaluating a user's musculoskeletal health and prescribing treatment plans for the user based on the musculoskeletal health is provided. The disclosed techniques include a computing system receiving input data from a client device. The system formatting the input data to generate one or more sets of user characteristic data values and determining initial levels of user musculoskeletal health for the user based upon the sets of user characteristic data values. The system selects a set of treatment plans for the user based on the initial levels of user musculoskeletal health. The system presents the set of treatment plans to the user using media that allows the user to interactively perform exercises prescribed in the treatment plan.

A camera monitoring system for a bore based medical apparatus is described, wherein the camera monitoring system comprises a first and a second image sensor mounted on opposing surfaces of a circuit board. The first image sensor is arranged to view an object from a first viewpoint via a first lens arrangement and a first mirror and the second image sensor is arranged to view the object from a second viewpoint via a second lens arrangement and a second mirror. By having the image sensors view an object via the mirrors, via the lens arrangements, the lens arrangements contribute to the effective separation of the first and second viewpoints enabling the size of the housing of the camera to be reduced. Furthermore, a method for calibrating a camera monitoring system in a bore based setup is described and also a configuration of arranging a camera monitoring system in connection with a bore based medical apparatus.

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 and method for performing range of motion measurements in an unsupervised manner. A user equipment with one or more cameras may be used with an application on the UE using the one or more cameras to measure range of motion of a user of the UE. The patient may record movement of the part of the body of interest, such as the head. The movement may be recorded in three dimensions (e.g., calculated from two dimensional coordinates of an image) and processed by the application, and the three rotational angles calculated corresponding to the difference between the final position of the head and the initial position of the head at the beginning of the recording. As a result, facial recognition is used to improve monitoring of range of motion during surgical recovery in an unsupervised environment.

The present disclosure presents methods, systems and devices for performing capnography (respiratory CO.sub.2) monitoring using a respiratory CO.sub.2 sensor and a breath tracking mechanism for tracking and/or detecting phases of the breath wherein the measurements of the CO.sub.2 sensor may provide baseline CO.sub.2 values, and modulate/quantify the respiratory CO.sub.2 levels according to the baseline values.