Abstract:
An exercise support device and an exercise support method are provided by which a judgment regarding the landing of the left and right feet of a user can be accurately made with low power consumption, so that the user can appropriately grasp and judge the balance of the use of the body in an exercise. First, based on changes in acceleration in a vertical direction with respect to the ground which has been acquired by a sensor section worn on the body during a running exercise, landing timing at which one of the left and right feet is landed is detected. Then, based on whether a difference between angular velocities around a traveling direction axis immediately after the latest landing timing and the preceding landing timing has a positive or negative value, whether the landed foot is the left foot or the right foot is judged.
Abstract:
The invention provides a method of processing an image in a diagnostic apparatus of diagnosing a cutaneous lesion using a cutaneous image, comprising the steps of: (a) obtaining a first detail image made by performing a first component separation filter on a brightness component of the cutaneous image; (b) obtaining a second detail image made by performing a second component separation filter on the brightness component of the cutaneous image, the second component separation filter having properties different from those of the first component separation filter; (c) generating a third detail image based on the first detail image and the second detail image; (d) newly generating a third base image based on the third detail image; and (e) combining the third detail image with the third base image to restore a brightness component and generate a highlighted image.
Abstract:
The invention provides an image processing method in a diagnostic apparatus of diagnosing a disease using a captured image of an affected area, comprising the steps of: (i) separating the captured image memorized into a brightness component and a color information component (Step S131); (ii) separating the brightness component into a base component and a detail component (Step S132); (iii) performing a highlighting process on the base component and/or the detail component (Step S133-S140); and (iv) restoring a brightness component from a highlighted base component and the detail component, and/or from the base component and a highlighted detail component, and using the restored brightness component and the color information component to generate a highlighted image (Step S141).
Abstract:
A CAP detection device configured to acquire pulse wave data of a subject, derive a baseline of the data and an envelope of the baseline, identify a local maximum point of the envelope and determine, as CAP candidate points, a first local maximum point of the baseline before the local maximum point of the envelope and a second local maximum point of the baseline after the local maximum point, and identify, for each CAP candidate point, a third local maximum point of the baseline before the CAP candidate point and a local minimum point of the baseline between the CAP candidate point and the third local maximum point and detect the CAP candidate point as a CAP based on an evaluation value obtained from a difference between the CAP candidate point and the third local maximum point and a difference between the CAP candidate point and the local minimum point.
Abstract:
The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a disease using a captured image of an affected area, comprising: a separating step of separating the captured image into a brightness component and a color information component; and an extracting step of extracting a region to be diagnosed based on the brightness component or the color information component of the configured image to highlight likeness of the region.
Abstract:
First extracting means of a processing unit, based on a brightness component and a color information component of a captured image separated by separating means, extract a candidate region using a first morphology processing based on the brightness component, and second extracting means of the processing unit extract a likelihood of a region from a color space composed of the brightness component and the color information component and perform a second morphology processing to generate a region-extracted image, which is displayed on the display device. In this case, the morphology processing including the smoothing filter processing is performed on an extracted candidate region and an extracted likelihood of the region.
Abstract:
A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.
Abstract:
A diagnosis support apparatus for diagnosing a lesion based on a captured image composed of a multi-valued image, the apparatus includes a dermoscope-equipped image capturing device which captures the captured image; a storage device which stores the captured image; a display which displays the captured image stored in the storage device; and a processor which, under control of a stored program, processes the captured image stored in the storage device. The processor performs separating the captured image into a brightness component and a color information component; performing a first morphology processing which performs a dilation, an erosion, a smoothing filter processing, and subtraction processing, in this order, with respect to an image representing the brightness component, to generate a first image when acquiring a shape of regions having low pixel values from the image representing the brightness component, and extracting the image obtained as a result of the first morphology processing as a candidate region image; and performing a second morphology processing which performs an erosion, a dilation, a smoothing filter processing, and subtraction processing, in this order, with respect to an image indicating a likelihood of a region obtained from a color space composed of the brightness component and the color information component, to generate a second image when acquiring a shape of regions having high pixel values from the image indicating the likelihood of a region, and extracting the image obtained as a result of the second morphology processing as a likelihood image of a region. The display further displays the captured image having been processed by the processor.
Abstract:
An image processing method for diagnosing a disease using a captured image of an affected area, includes separating the captured image memorized into a brightness component and a color information component; separating the brightness component into a base component and a detail component; performing a highlighting process on the detail component; and restoring a brightness component from the base component and a highlighted detail component, and then generating a highlighted image using a restored brightness component and the color information component. The highlighting process includes highlighting the detail component depending on likelihood of vessel of a region to be diagnosed. In the highlighting process, the color information component that corresponds to a direction of a red-based color in a first color space is acquired; a predetermined range of the color information component is normalized; and a likelihood (V) of vessel of the region as acquired via the normalization is reflected in a highlighting coefficient of the detail component to generate a highlighted detail component image.
Abstract:
The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a disease using a captured image of an affected area, comprising: a memorizing step of memorizing the captured image (Step S12), and a processing step of processing the captured image memorized (Step S13), wherein in the processing step a region to be diagnosed is subjected to a highlighting process with a specified color thereof maintained.