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 measurement apparatus including: a first sensor which continuously acquires a vertical direction acceleration generated in accordance with a traveling movement of a user, a second sensor which continuously acquires a travel direction acceleration generated in accordance with the traveling movement, a first determination unit which determines, based on a continuous change of the vertical direction acceleration and the travel direction acceleration, a plurality of landing points of time each being a point of time when a foot of the user lands, and a first acquiring unit which acquires, based on the plurality of landing points of time, a period required for one step of the user in the traveling movement.
Abstract:
An identification apparatus includes a processor and a memory configured to store a program to be executed by the processor. The processor acquires first image data obtained by capturing of an image of an affected area included in a skin or a mucosa by receiving first reception light. The first reception light is reflection light reflected from the affected area irradiated with first irradiation light including white light. The processor further acquires second image data obtained by capturing of an image of the affected area by receiving second reception light. The second reception light is light including light generated by fluorescent reaction in the affected area irradiated with second irradiation light. The second irradiation light includes light that allows the affected area to show fluorescent reaction when the affected area is irradiated with the light. The processor identifies the affected area based on the first image data and the second image data.
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 a waveform signal representing vibrations of a target, the vibrations resulting from heartbeats of the target; extracts provisional heartbeat timings from the acquired waveform signal based on a first time window; the provisional heartbeat timings indicating provisional values of heartbeat timings being timings at which the heartbeats of the target occur; acquires corrective peak timings from the acquired waveform signal based on a second time window having a shorter time length than the first time window, each of the corrective peak timings serving as a discrete correction unit for correction of the provisional heartbeat timings; corrects the extracted provisional heartbeat timings into definitive heartbeat timings based on the acquired corrective peak timings; and acquires bioinformation on the heartbeats of the target based on the corrected heartbeat timings.
Abstract:
A diagnostic apparatus for diagnosing a disease using a captured image of an affected area includes an image-memorizing unit configured to memorize the captured image and a processing unit configured to process the captured image memorized in the image-memorizing unit. The processing unit includes a separating unit configured to separate the captured image into a brightness component and a color information component, an extracting unit configured to extract a region to be diagnosed based on the brightness component or the color information component of the captured image to highlight likeness of the region, and a highlighting unit configured to highlight the extracted region in accordance with the extracted likelihood V representing the likeness of the region.
Abstract:
A determination on whether or not a local device position and a map contain an error is made. A position measurer of an autonomous movement device measures a local device position. A map memory stores the created map. A position estimator estimates the local device position. A determiner determines whether or not a difference between the measured position by the position measurer and the estimated position by the position estimator is within a predetermined error range. A map editor edits the stored map in the map memory when the determiner determines that the difference is out of the predetermined range.
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.
Abstract:
A state estimation apparatus includes: at least one processor; and a memory configured to store a program executable by the at least one processor; wherein the at least one processor is configured to: acquire a biological signal of a subject, in a certain period in which the biological signal is being acquired, set as a plurality of extraction time windows a plurality of time windows having mutually different time lengths, extract a feature value of the biological signal in each of the plurality time windows, and estimate a state of the subject based on the extracted feature value.
Abstract:
An aspect of the disclosure relates to a training device including a memory storing a program, and at least one processor configured to execute the program stored in the memory, in which the processor is configured to acquire pulse wave data to which biological reaction information is imparted, extract a local maximum point of a baseline or a local minimum point of a baseline derived from the pulse wave data as an identification reference point and set a correct answer label for the identification reference point based on the biological reaction information, set an analysis window for the extracted identification reference point and determine a feature vector of the identification reference point in the analysis window, and train a discriminator that identifies a cyclic alternating pattern (CAP) indicating a periodic brain wave activity by training data including the feature vector and the correct answer label.
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.