A61B5/6843

Intraoral moisture measuring device

An intraoral moisture measuring device includes: a swing member that swings with respect to a main body about a predetermined swing center; a moisture amount detection unit provided at a tip of the swing member, for detecting a moisture amount by being directly or indirectly abutted against a measurement site in a mouth; and a biasing member for biasing the swing member in one of swing directions. Consequently, the intraoral moisture measuring device is capable of measuring intraoral moisture in a simple and highly-accurate manner.

MEASURING APPARATUS AND BIOLOGICAL INFORMATION MEASURING APPARATUS

A measuring apparatus (100a, 1a) includes a light source (110) configured to emit probe light; a total reflection member (16) in contact with a to-be-measured object and configured to cause total reflection of the probe light that is incident; a light intensity detector (17) configured to detect light intensity of the probe light exiting from the total reflection member (16); an output unit (2) configured to output a measurement value obtained on the basis of the light intensity; a first support (31) supporting the light source (110) and the light intensity detector (17); and a second support (32) provided to the first support (31), detachable from the first support (31), and supporting the total reflection member (16).

CONTROL OF PARAMETERS OF HEARING INSTRUMENT BASED ON EAR CANAL DEFORMATION AND CONCHA EMG SIGNALS
20220394396 · 2022-12-08 ·

A processing system obtains a deformation signal generated by a deformation sensor. The deformation signal is indicative of a deformation of an outer ear of a user of a hearing instrument. Additionally, the processing system obtains an EMG signal generated by an electrode in a concha of the user, wherein the electrode is configured to detect activity of an intrinsic auricular muscle of the user. Furthermore, the processing system generates information regarding an auditory attention state of the user based on the deformation signal and the EMG signal. The processing system controls, based on the information regarding the auditory attention state of the user, the parameter of the audio system.

Biological information measurement apparatus

A biological information measurement apparatus comprises: a spectrometer; a housing that contains the spectrometer and includes a surface on which a measurement target is to be placed, and an aperture portion through which light illuminating the measurement target placed on the surface and light reflected from the measurement target are to pass; and a shutter member that can move between a first position of opposing the aperture portion of the housing and a second position of retreating from the first position of opposing the aperture portion, the shutter member including a white reference surface. If the shutter member is at the first position, the spectrometer performs calibration using the white reference surface. If the shutter member is at the second position, the aperture portion and the measurement target oppose each other, and the spectrometer colorimetrically measures the measurement target.

Electronic device, blood pressure measurement method of electronic device and blood pressure measurement system

According to one aspect of the present disclosure, an electronic device may include: a communication interface configured to receive, from a touch pen, force information about a force of the touch pen exerted onto an object when the object is in contact with the touch pen; a pulse wave measurer configured to measure a pulse wave of the object when the object is brought into contact with the electronic device by the force of the touch pen; and a processor configured to estimate a blood pressure of the object based on the force information and the pulse wave.

Foldable electronic device and method of estimating bioinformation using the same

Provided are foldable electronic device and method for estimating bio-information by using the same. The foldable electronic device may include: a main body part including a first main body and a second main body that are configured to be folded toward each other or unfolded from each other along a fold line where the first main body and the second main body meet; an image sensor part including a first image sensor and a second image sensor which are disposed at the first main body; and a processor configured to obtain a contact image of an object from the first image sensor disposed at the first main body and obtain an image of a marker that is displayed on the second main body, from the second image sensor disposed at the first main body, when the object is in contact with the first image sensor and the main body part is folded along the fold line, and estimate bio-information based on the contact image of the object and the image of the marker.

Photoplethysmographic Sensor Containing A Polymer Composition
20220380674 · 2022-12-01 ·

A photoplethysmographic sensor comprising a light source for emitting light onto a tissue and an optical detector for receiving light that interacts with the tissue is provided. The sensor comprises a liquid crystalline polymer.

Dynamic Calibration of Light Intensity in a System For Non-invasive Detection of Skin Cancer Using Elastic Scattering Spectroscopy

Methods and devices are disclosed for calibrating intensity of a light source in a system of evaluating a skin lesion using Elastic-Scattering Spectroscopy (ESS). The ESS system may illuminate a sample of the skin lesion with a pulse from the light source adjusted to a high output setting, receive a signal comprising an elastic scattering spectrum from illuminating the skin lesion sample at the high output setting, determine whether the received signal has an intensity that is greater than a saturation threshold associated with at least one optical detection sensor, and if so, store the elastic scattering spectrum from illuminating the skin lesion sample at the high output setting. If not greater than the saturation threshold, the ESS system may illuminate the skin lesion sample with a pulse from the light source adjusted to a low output setting, receive a signal comprising an elastic scattering spectrum from illuminating the skin lesion sample at the low output setting, and store the elastic scattering spectrum from illuminating the skin lesion sample at the low output setting.

WEARABLE ELECTRONIC DEVICE AND BIOLOGICAL INFORMATION MEASURING SYSTEM CAPABLE OF SENSING MOTION OR CALIBRATING BIOLOGICAL INFORMATION CORRESPONDING TO MOTION
20220378376 · 2022-12-01 ·

A wearable electronic device, comprising: a substrate: a first motion sensing region, comprising at least one first electrode on the substrate; a second motion sensing region, comprising at least one second electrode, wherein a shielding layer is provided on the second electrode, and the second electrode is between the shielding layer and the substrate, wherein a user causes more capacitance variation to the first electrodes and causes less capacitance variation to the second electrodes when the user wears the smart watch; a capacitance calculating circuit, coupled to the first electrode, configured to calculate a capacitance variation generated by the first electrode or the second electrode; and a motion determination circuit, configured to determine a motion of the wearable electronic device according to the capacitance variation of the first electrode or the capacitance variation of the second electrode.

APPARATUS AND METHOD FOR ESTIMATING BIO-INFORMATION

An apparatus for estimating bio-information is provided. According to an embodiment of the present disclosure, the apparatus for estimating bio-information includes: a pulse wave sensor having a plurality of channels to measure a plurality of pulse wave signals from an object; a force sensor configured to obtain a force signal by measuring an external force exerted onto the pulse wave sensor; and a processor configured to: obtain a first feature for each channel by inputting the plurality of pulse wave signals for each channel and the force signal, into a first neural network model; obtain a weight for each channel by inputting the first feature to a second neural network model; obtain a second feature by applying the weight to the first feature for each channel by using the second neural network model; and obtain bio-information by inputting the second feature to a third neural network model.