This application discloses a method for controlling an electronic device to perform photoplethysmography detection. The method includes obtaining historical detection data of a photoplethysmography sensor, calculating a confidence of the historical detection data, determining, based on the calculated confidence of the historical detection data, whether a light source to be turned on by the photoplethysmography sensor in a next detection time segment includes a light source different from a light source turned on when the historical detection data is obtained, and determining that a photoelectric sensing element to be turned on in the next detection time segment is a photoelectric sensing element corresponding to the determined light source to be turned on.

To enable accurately determining, based on a sound emitted by an inspection target, a classification of the sound. A control apparatus (1) according to an embodiment includes a classification information acquiring unit (13) that acquires classification information of a sound, a sound acquiring unit (11) that acquires a sound data including information of the sound, a storage unit (20) that stores definition data (25), an extraction unit (12) that extracts a plurality of features of the sound data, and a model construction unit (15) that constructs a learned model where machine learning, based on the plurality of features of the sound data and the classification information, on a correlation between the plurality of features and the classification of the sound is performed.

Provided are moving image obtaining means that obtains a moving image of a region including at least a mouth or a peripheral portion of the mouth in a face, analysis means that analyzes a chewing action based on the moving image of the region obtained by the moving image obtaining means, quality determination means that determines quality of the chewing action based on information of the chewing action analyzed by the analysis means, and extraction means that extracts assistance information corresponding to the chewing quality determined by the quality determination means, from chewing information storage means.

Aspects of embodiments pertain to a perineal protection device for reducing the risk or preventing perineal tear during birth. The device may comprise a reinforcement shield that is releasably connectable to a female perineum of a subject, the reinforcement shield having a surface geometry substantially corresponding to an underlying perineal muscle structure and being configured to reduce deformation of the perineum during childbirth. Optionally, the perineal protection device further comprises a fastener arrangement for releasably securing the reinforcement shield to the female perineum. The fastener arrangement may comprise a support pad that is adhesively engageable with the subject and/or straps for strapping the reinforcement shield to the subject.

An implantable sensor assembly comprises a support structure including a board, a compliant structure disposed on a top surface of the board, and a sensor supported by the compliant structure above the top surface of the board. An aperture is formed in the support structure for exposing at least in part a face of the sensor. The sensor may be a pressure sensor having a sensing membrane exposed through the aperture formed in the support structure. A stiffener, which may be conductive, may be mounted to a bottom surface of the board. The sensor and other components may be covered by a polymer shell having a conductive cover or by a gel contained within a rigid cap, which may be conductive. An electromagnetic shield may be formed by an electrical connection between the conductive cover or the conductive rigid cap and the conductive stiffener.

A detection device that includes an extraction unit that extracts waveform data based on a gait of a walker using sensor data acquired from a sensor installed on a foot of the walker and a detection unit that detects a gait event from the waveform data extracted by the extraction unit.

An information processing apparatus (100) according to the present application includes two or more force sensors (110) that each detect a force of two or more different fingers of a user, and a processing unit (122) that executes information processing related to measurement of forces of the two or more different fingers based on detection results detected by each of the two or more force sensors (110).

Disclosed herein are systems, devices, and methods for evaluating or analyzing complex audio signals using multi-dimensional statistical signatures and machine learning algorithms. One advantage of the present disclosure is the ability for remote evaluation of respiratory tract health using speech analysis. The need for remote collection capabilities that can sensitively and reliably characterize respiratory tract function is particularly pertinent in view of the recent Covid-19 pandemic, which may adversely affect the health of individuals who could already be experiencing health problems with respiratory tract function.

A vital sign detection device controls directivities of radio waves A and B toward an irradiation region of a subject to determine the vital signs of the subject. The first directivity is where the vital signs easily appear and the second directivity is where the vital signs are less likely to appear. Noise is reduced by taking a difference between information about a distance to the subject calculated on the basis of the radio wave A having the first directivity and information about a distance to the subject calculated on the basis of the radio wave B having the second directivity received by the receiver.

A photothermal treatment device includes: irradiation means that irradiates a lesion tissue in a body cavity with heating light; a thermo-endoscope including endoscopic imaging means that images the inside of the body cavity and thermographic imaging means that images a surface temperature of a tissue in the body cavity as a thermal image; and control means (control personal computer (PC)) that controls an output and an irradiation time of the irradiation means based on temperature information of the thermal image obtained from the thermographic imaging means.