Disclosed is a glucose measuring apparatus including a pressure measurer having an elastic part or a pressure sensor, that measures a pressure applied to an object, a film that comprises a first optical waveguide configured to be close to the object, a near infrared ray (NIR) irradiator that irradiates an NIR to the first optical waveguide if the measured pressure is greater than or equal to a preset value, an NIR receiver that receives an attenuated total reflection NIR (ATR-NIR) from the first optical waveguide, and an analyzer that measures a blood glucose level based on the ATR-NIR, wherein the film is an independent module that can be combined with and separated from the glucose measuring apparatus.

A device may include a sensor window. The sensor window may include a substrate. The sensor window may include a set of layers disposed onto the substrate. The set of layers may include a first subset of layers of a first refractive index and a second set of layers of a second refractive index different from the first refractive index. The set of layers may be associated with a threshold transmissivity in a sensing spectral range, and may be configured to a particular color in a visible spectral range and associated with a threshold opacity in the visible spectral range. The device may include a spectral sensor device aligned to the sensor window and including at least one sensor element to receive light in the sensing spectral range and provide a plurality of sensing functionalities based on at least one measurement of the light in the sensing spectral range.

The present invention provides methods and systems determining the behavioural index of a user. The present invention involves analyzing the user's behaviour and linguistic parameters using a smart wearable device. Basis the analysis, user's behavioural index is suitably determined, modified and informed to the user.

An electrocardiography device is described that can include a main body, an adjustable cap, and a power switch. The main body can include an electrode of a plurality of electrodes configured to acquire electrical signal from a patient. The adjustable cap can include two electrodes of the plurality of electrodes. The adjustable cap can be rotatable around an axis on the main body to orient the plurality of electrodes on different locations on a body of the patient. The power switch can activate the plurality of electrodes to acquire the electrical signal from the patient. Related apparatuses, systems, methods, techniques and articles are also described.

Methods, computer-readable media, systems, and/or apparatuses are provided for providing offer and insight generation functions. User input requesting an offer or insight may be received and an image of a photographic identification of a user may be requested. The image of the photographic identification may be captured and stored. A self-captured image of the user may be captured (e.g., via an image capture device of the computing device) and compared to an image of a user from the photographic identification. Responsive to determining that the images match, displaying an instruction to capture a vehicle identification number. The vehicle identification number may be captured. Data, including location data, may be extracted and an archive including the extracted data may be generated and the data may be transmitted to an entity computing system for processing. The entity computing system may evaluate the data and generate one or more insights and/or outputs.

Audio signals, collected with equipment commonly available to individuals (e.g., a mobile device), can be used to analyze a patient’s breathing. An audio signal associated with the patient’s breathing for a time period can be detected with the mobile device and used to approximate the patient’s respiratory flow for the time period. For example, the audio signal can be analyzed by determining a representation of an audio frequency of the audio signal, splitting the audio frequency of the audio signal into distinct time steps, determining points comprising a weighted mean frequency at each time step, applying a frequency-to-flow rate linear transformation at each time step to approximate the respiratory flow versus time, and plotting a graphical representation of the respiratory flow versus time. The respiratory flow for the time period can be tagged with a factor related to the patient and saved in a database for future analysis.

Provided is a respiratory state estimating device including a pulse wave signal acquiring unit that acquires a pulse wave signal from a portion of a living subject, a pulse rate calculating unit that calculates a pulse rate of the living subject based on the pulse wave signal, and a respiratory state estimating unit that estimates a respiratory state of the living subject based on the pulse rate. Also, provided is a respiratory state estimating method including optically acquiring a pulse wave signal from a portion of a living subject, calculating a pulse rate of the living subject based on the pulse wave signal, estimating a respiratory state of the living subject from the pulse rate.

This relates to one or more integrated photodiodes on a back surface of a PPG device. The one or more integrated photodiodes can reduce the gap between one or more windows and the active area of the photodiode(s) to increase the PPG signal strength without affecting the depth of light penetration into skin tissue. In some examples, the photodiode stackup can contact the surface of the windows. In some examples, the photodiode stackups can exclude a separate substrate. In some examples, the photodiode stackup can be deposited on the inner surface of the windows opposite the outer surface of the device. In some examples, the photodiode stackup can be deposited on the back surface and/or outer surface of the device. In this manner, PPG sensors can be included in the device without the need for extra layers and measurement accuracy can be improved due to lower light loss.

An apparatus for measuring bio-information may include: a pulse wave sensor comprising at least one pair of light emitters which are disposed apart from each other and a light receiver disposed between the at least one pair of light emitters, and configured to measure a plurality of pulse wave signals from an object by using the light receiver and the at least one pair of light emitters; a force sensor configured to measure a contact force that is applied to the pulse wave sensor by the object; and a processor configured to generate an integrated pulse wave signal by integrating the plurality of pulse wave signals based on the contact force and an area of a contact surface of the pulse wave sensor, and estimate bio-information of the object based on the integrated pulse wave signal.

Various arrangements for performing ballistocardiography using a mobile device are presented. A radar integrated circuit of a mobile device may emit frequency-modulated continuous-wave (FMCW) radar. Reflected radio waves based on the FMCW radar being reflected off objects may be received and used to create a raw radar waterfall. The raw radar waterfall may be analyzed to create a ballistocardiography waveform. Data based on the ballistocardiography waveform may be output, such as to a machine-learning application installed on the mobile device.