The invention provides a patient monitoring system for monitoring a patient in a bed. A video camera is used for capturing video images of the patient. Video analysis is used to determine and track the position of body parts of the patient including the hands. This analysis is enhanced by using sensors which detect interaction by the patient with pieces of equipment in the vicinity of the bed.

A system and method for reducing intrafractional motion of a subject The system includes a subject user device, whereby the user device includes an image acquisition device configured to receive location marker information of the subject to provide location marking data of the subject. The system may also include a digital processor configured to: receive the location marking data and determine movement of the subject relative to the location marker information; and communicate feedback of the movement to the subject to help the subject reduce intrafractional motion.

A method for calculating range of motion of a patient's jointed limb includes providing one or more locators at an upper limb of the jointed limb, and one or more of the locators at a lower limb of the jointed limb. A first image of the patient's joint in a fully extended position a second image of the patient's joint in a fully flexed position are captured with an imaging device. The method includes identifying positions of the locators of both the first image and the second image, and determining an extended angle of the patient's joint based on the identified positions of the locators of the first image. The method includes determining a flexed angle of the patient's joint based on the identified positions of the locators of the second image. The method includes determining a range of motion angle based on the extended angle and the flexed angle.

The present subject matter relates to methods and systems utilizing wearable sensor technology to determine when a patient's health may be degrading to trigger progressively higher levels of care and involvement, from “free” hands and eyes to skilled clinicians, in order to keep patients in the lowest cost setting of care, the home, for as long as possible.

A motion tracking system for dynamic tracking of and compensation for motion of a patient during a magnetic resonance scan comprises a first camera positioned to view an optical marker along a first line of sight; a second camera positioned to view the optical marker along a second line of sight; and a computer system configured to analyze images generated by the first and second cameras to determine changes in position of the optical marker, and to generate tracking data for use by a magnetic resonance scanner to dynamically adjust scans to compensate for the changes in position of the optical marker, wherein the computer system is configured to dynamically adapt its image analysis to utilize images from all cameras that are currently viewing the optical marker.

Disclosed is a method for diagnosing a mood disorder or susceptibility to a mood disorder, including depressive disorders and bipolar disorder, from a biological sample taken from a subject. The method includes detecting markers of monoamine oxidase-A (MAO-A) in the biological sample; determining MAO-A concentration from the markers; and correlating the MAO-A concentration in the biological sample to a control group which does not have a mood disorder in order to diagnose or determine susceptibility to the mood disorder in the subject. Also disclosed is a method of detecting peripheral markers of MAO-A for the diagnosis of a mood disorder or susceptibility to a mood disorder. Also provided are polypeptide markers.

Disclosed are systems, apparatuses and methods for recording images of one or more selected anatomical features, and to facilitate re-orientation and/or re-positioning of such images to one or more desired positions.

Apparatus, systems, and methods are provided for measuring and analyzing movements of a body and for communicating information related to such body movements over a network. In certain embodiments, a system gathers biometric and biomechanical data relating to positions, orientations, and movements of various body parts of a user performed during sports activities, physical rehabilitation, or military or law enforcement activities. The biometric and biomechanical data can be communicated to a local and/or remote interface, which uses digital performance assessment tools to provide a performance evaluation to the user. The performance evaluation may include a graphical representation (e.g., a video), statistical information, and/or a comparison to another user and/or instructor. In some embodiments, the biometric and biomechanical data is communicated wirelessly to one or more devices including a processor, display, and/or data storage medium for further analysis, archiving, and data mining. In some embodiments, the device includes a cellular telephone.

A method and apparatus to automatically control the timing of an image acquisition by an imaging system in developing a correlation model of movement of a target within a patient.

An automatic process of predictive determination of the position and movements of the skin of a subject in a zone of interest, with the subject breathing freely or in an assisted manner, includes preliminarily acquiring multiple configurations of the skin profile in axial planes, at given successive times, in different respiratory positions, and for each axial plane, constructing at least one deformable digital model starting from different skin profiles, then noting, in a repetitive manner, the actual position of a point on the skin at the level of each axial plane, whose position is significantly modified during inhalation and exhalation phases, and providing, essentially in real time, a simulation of the skin profile in each axial plane, as a function of the actual position noted, and an evolving three-dimensional representation of the skin at the level of the zone of interest, by interpolation between the different axial planes.