A two-way diagnosis and treatment device capable of connecting blood pressure measurement comprises a power supply unit, a high-voltage diagnosis and treatment unit, an input unit, a microprocessor, a signal conversion unit, a signal transmission unit, an intelligent device, and a blood pressure measuring device, the intelligent device is connected to the signal transmission unit to obtain a diagnosis and treatment signal of the high-voltage diagnosis and treatment unit and is connected to the blood pressure measuring device to obtain a measurement signal, and has an application software for correspondingly processing the diagnosis and treatment signal and displaying a corresponding blood pressure on the intelligent device according to the measurement signal. The application software provides a usage advice on the input unit according to the blood pressure and the diagnosis and treatment signal. The input unit controls the high-voltage diagnosis and treatment unit to perform diagnosis and treatment.

An integrated glucose monitoring system comprising a glucometer and mobile device housed in a housing. The glucometer includes a measurement component to receive a blood glucose test strip containing a sample of blood of an individual, and a port to transmit the blood glucose measurement to a mobile device. The mobile device communicatively and physically coupled to the glucometer. The mobile device includes a port configured to couple with the glucometer, a communication component to receive the blood glucose measurement from glucometer, a power management component to transmit power to the glucometer, and another port to receive power from a power source to power the mobile device. The housing is to house the glucometer and the mobile device to form a single solitary glucose monitoring system.

A method for remotely assessing oral health of a user of a mobile device by obtaining, using the mobile device (40), at least one digital image (1) of said user's (30) oral cavity (31) and additional non-image data (2) comprising anamnestic information about the user (30). The digital image (1) is processed both using a statistical object detection algorithm (20) to extract at least one local visual feature (3) corresponding to a medical finding related to a sub-region of said user's oral cavity (31); and also using a statistical image recognition algorithm (21) to extract at least one global classification label (4) corresponding to a medical finding related to said user's oral cavity (31) as a whole. An assessment (10) of the oral health of said user (30) is determined based on the local visual feature(s) (3), the global classification label(s) (4) and the non-image data (2).

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

A psychological evaluation device that estimates interest of a subject in a content used integrally with a terminal held by the subject. Acceleration data obtained by an acceleration sensor built in the terminal is acquired, and a frequency analysis is performed on the acquired acceleration data to obtain acceleration in the gravity direction of the terminal. By obtaining the acceleration in the gravity direction of the terminal, it is possible to, for example, estimate the subject's interest in the content based on the integral value of each frequency component of the acceleration in the gravity direction obtained by performing the frequency analysis.

A close-up imaging device that generates slit light on the basis of light-source light emitted from a light source built into a mobile communication terminal device. The close-up imaging device is mounted onto the mobile communication terminal device, and a moving image of the tissue to be observed of the examined eye is captured by a camera module built into the mobile communication terminal device. Then, in a diagnosis support server device, a diagnosable frame image included in the captured moving image is extracted, at least one of a heath state of the examined eye and any one or more of a distance, an angle, and an area in some tissue of the examined eye is estimated on the basis of the diagnosable frame image extracted, and diagnosis support information is generated and distributed to the corresponding mobile communication terminal device.

The present invention relates to a passive terahertz biometric imaging device configured to be arranged under an at least partially transparent display panel and configured to capture a terahertz image of an object located on an opposite side of the transparent display panel, the terahertz biometric imaging device comprising: an image sensor comprising an antenna pixel array arranged to detect terahertz radiation produced by the object, for capturing a terahertz image of the object.

The present invention presents a device for calculating, during one step or each successive step of the gait of a subject, the push-off P.sub.0 of the subject, which is the power per kilogram released by the ankle push-off moment, which comprises: at least one inertial measurement unit (1A, 1B) on one foot of the subject, the inertial measurement unit (1A, 1B) having: at least one accelerometer to measure the vertical and antero-posterior accelerations and/or at least one gyroscope to measure the medic-lateral angular speed data {acute over (α)} during the gait, storage and calculation means (2A) connected to the Inertial measurement unit (1A, 1B), configured to calculate: for the foot, and for the step or each successive step of the gait:—the time of the heel-off and the time of the toe-off,—the push-off P.sub.0, by the Euler's equation stating that the sum of moments acting on the foot taken as a rigid body, being equal to the rate of change of the angular momentum of the foot, with the calculation of the push-off P.sub.0 at the time of the toe-off where the sagittal angular momentum is at its maximum in absolute value, displaying means (2B) connected to the storage and calculation means (2A).

Apparatus for the non-invasive in-vivo determination of changes in tissue, e.g. the myelination, of the optic nerve (ON) in a biological subject, said apparatus comprising: a laser source for generating an excitation laser beam; an optical system including a fundus camera operatively associated with the laser source for use in obtaining a fundus image for illuminating the optic nerve (ON) of a subject with the excitation laser beam; a detector (13) operatively associated with the optical system and configured to detect a Raman spectrum from the optic nerve (ON) and/or surrounding cerebral spinal fluid; and a processor provided with a computer program for comparing the detected Raman spectrum to at least one reference spectrum. The reference spectrum may correspond to the myelination of the optic nerve in a normal, healthy subject, for determining the changes in the myelination of the optic nerve of the subject based on the detecting and comparing steps from the Raman spectrum.