The present invention relates to a method and system for determining well-being indicators. The well-being indicators comprise at least one of an antioxidant level, a stress level, a smoking level and a dietary level of fruits and vegetables. There is disclosed a method for determining well-being indicators from at least one skin image which comprises selecting at least one image element, wherein colour components disposed on the selected image element can be extracted, constructing colour histograms based on the extracted colour components, the colour histograms comprising prediction features which when extracted enable the well-being indicators to be determined from the skin images.

Processing circuitry may receive one or more signals of a patient. The processing circuitry may determine an autoregulation status of the patient based at least in part on the one or more signals. The processing circuitry may output, for display at an output device, a graphical user interface (GUI) that includes an indication of the autoregulation status of the patient and an indication of a lower limit of autoregulation (LLA) value, wherein the GUI does not include an indication of an upper limit of autoregulation (LLA) value.

Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.

An initial set of parameters for operating one or more detection tools is automatically derived and subsequently adjusted so that each detection tool is more or less sensitive to signal characteristics in a region of interest. Detection tool(s) may be applied to physiological signals sensed from a patient (such as EEG signals) and may be configured to run in an implanted medical device that is programmable with the parameters to look for rhythmic activity, spiking, and power changes in the sensed signals, etc. A detection tool may be selected and parameter values derived in a logical sequence and/or in pairs based on a graphical representation of an activity type which may be selected by a user, for example, by clicking and dragging on the graphic via a GUI. Displayed simulations allow a user to assess what will be detected with a derived parameter set and then to adjust the sensitivity of the set or start over as desired.

An assistance apparatus for assisting creation of an interpretation report obtains a set of regions of interest, which are determined as regions that were observed, of medical image data of a subject that is displayed as an interpretation target, and a set of described regions, which are regions that correspond to description of an interpretation report about the medical image data of a subject. The assistance apparatus determines consistency between the set of regions of interest and the set of described regions, and lets a display unit display a result of the determination.

The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals. Examples include flood fill methods and skin tone filtering methods.

Special displays of medical images are generated that help a radiologist better detect nodules by exploiting the inherent human visualization abilities of detection of symmetry, asymmetry, motion and relative motion. A Region of Interest (ROI) on an x-ray (mammogram, CT-scan, MRI, or other medical image) is selected and the data within the ROI is copied such that a new display now has two or more copies of the information within the ROI. This copy may contain the same relative positions as the original image, or may be a mirror image of the original data. The ROI is moved over the medical image in search of nodules. This movement can be random, under the direct control of the radiologist, systematically moved by a computer algorithm, or some combination of the above.

An object information acquisition apparatus, configured to receive an acoustic wave from an object and acquire characteristic information of the object, includes a receiver configured to receive the acoustic wave and convert the received acoustic wave into an electric signal, a scan control unit configured to scan the receiver at least in one direction, and a display control unit configured to produce guide information for displaying a guide on a display unit, wherein the guide is in terms of the number of times the receiver is scanned in a first direction and wherein the guide information is produced using information associated with a specified region defined by a user as a region in which characteristic information is to be acquired.

An MR Spectroscopy (MRS) system and approach is provided for diagnosing painful and non-painful discs in chronic, severe low back pain patients (DDD-MRS). A DDD-MRS pulse sequence generates and acquires DDD-MRS spectra within intervertebral disc nuclei for later signal processing and diagnostic analysis. An interfacing DDD-MRS signal processor receives output signals of the DDD-MRS spectra acquired and is configured to optimize signal-to-noise ratio by an automated system that selectively conducts optimal channel selection, phase and frequency correction, and frame editing as appropriate for a given acquisition series. A diagnostic processor calculates a diagnostic value for the disc based upon a weighted factor set of criteria that uses MRS data extracted from the acquired and processed MRS spectra for multiple chemicals that have been correlated to painful vs. non-painful discs. A display provides an indication of results for analyzed discs as an overlay onto a MRI image of the lumbar spine.

An image display apparatus includes: an input-output interface that obtains medical images of a same target region taken through serial radiography along a time axis; and a hardware processor that: executes a time-series replay display of the medical images obtained by the input-output interface, and displays a position reference at a fixed position on a screen, the position reference being superimposed on each of the medical images during the replay display.