A method of controlling a wearable device including a signal generator, two stimulation electrodes, and two sensing electrodes to monitor a level of edema of a subject, includes generating, by the generator, a signal that causes a current to flow between the stimulation electrodes and measuring an impedance between the sensing electrodes disposed on a skin of the subject at an interval of time during a testing period, thereby providing impedance measurements, validating each impedance measurement against a model set of impedance measurements, eliminating a measurement from the impedance measurements if the measurement fails the validating, thereby providing a validated sub-set of impedance measurements, converting each of the validated sub-set of impedance measurements to an edema index, thereby providing edema indices, averaging the edema indices and generating an average edema index for the testing period, and generating an alert depending on the average edema index.

The present disclosure relates in general to a device and a method for providing a measure of a circumference of a body part. More specifically, the present disclosure relates to how to provide a measure of a circumference of a body part, wherein the body part may have swelled, such that it for example can be observed whether the body part swells further or less. Most specifically, the swelled body part may be swelled due to oedema and/or lymphoedema.

Embodiments herein relate to devices and methods for assessing pulmonary congestion using optical sensing techniques. In an embodiment, a pulmonary congestion monitoring device can be included having a first optical emitter, wherein the first optical emitter can be configured to emit light at a first wavelength, such as at a near-infrared wavelength or an ultraviolet wavelength. The monitoring device can also include a first optical detector configured to detect incident light. The first optical emitter and the first optical detector can be separated by a distance of 1 centimeters (cm) to 10 cm. The monitoring device can be configured so that the light from the first optical emitter propagates through at least one of a lung tissue and an airway tissue. The monitoring device can also be configured to use detected incident light to determine a congestion status of the lung tissue. Other embodiments are also included herein.

Disclosed are a body composition measuring device using nine segments and an operation method thereof. The disclosed body composition measuring device comprises: both hand electrode parts and both foot electrode parts, each of which has a plurality of electrodes; two arm electrode parts attached to elbow joint regions of both arms, respectively; two leg electrode parts attached to knee joint regions of both legs, respectively; and a processing unit for causing electric current to flow through different combinations of the both hand electrode parts, the both foot electrode parts, the arm electrode parts, and the leg electrode parts at the time of measurement so as to measure impedance values of a measurement object, and then analyzing the body composition of the measurement object.

According to the present application, a computer-implemented method of predicting thyroid eye disease is disclosed. The method comprising: preparing a conjunctival hyperemia prediction model, a conjunctival edema prediction model, a lacrimal edema prediction model, an eyelid redness prediction model, and an eyelid edema prediction model, obtaining a facial image of an object, obtaining a first processed image and a second processed image from the facial image, wherein the first processed image is different from the second processed image, obtaining predicted values for each of a conjunctival hyperemia, a conjunctival edema and a lacrimal edema by applying the first processed image to the conjunctival hyperemia prediction model, the conjunctival edema prediction model, and the lacrimal edema prediction model, and obtaining predicted values for each of an eyelid redness and an eyelid edema by applying the second processed image to the eyelid redness prediction model and the eyelid edema prediction model.

This disclosure relates to diagnostic devices for diagnosing lymphedema. The diagnostic devices may include an array of sensors, which can at least include a durometer, temperature sensor, and dielectric sensor, to measure parameters of tissue. The measurements may be used to generate a tissue health score to diagnose lymphedema and monitor tissue heath.

A biosensor assembly that measures multiple physical parameters is disclosed. The biosensor assembly includes a first implantable probe and a first skin contacting electrode. Wherein a first physiological parameter is measured between the first implantable probe and the first skin contactable electrode.

Systems and methods are disclosed to determine a measure of patient weight using existing medical device sensors, comprising receiving acceleration information of a patient and, if a value of the acceleration information exceeds an activity threshold over a measurement window, detecting patient steps in the measurement window using the acceleration information, determining a patient step rate over the measurement window using the detected patient steps, determining a measure of patient step force for the measurement window, and determining a measure of patient weight using the determined patient step rate and measure of patient step force.

A cardiac health assessment system includes a memory, a circuit board, and a touchscreen controller integrated into a handheld electronic device (HED). The memory stores a classification model, a regression model, and instructions about a cardiac monitoring application. The circuit board includes a microphonic sensor, an Inertial Measurement Unit (IMU) sensor, a camera sensor, and a processor. The microphonic sensor captures cardiac sound wave signals indicative of the cardiac health of a user. The IMU sensor captures seismic signals indicative of the cardiac health of the user. The camera sensor enables visual data collection of tissue and photoplethysmography. The processor is configured to: execute the instructions, display commands to position the HED against the chest of the user, detect abnormal heart activity by deploying the classification model, and estimate intracardiac pressure by deploying the regression model. The touchscreen controller displays cardiac diagnostic information.

A method of determining an indication of the hydration status relating to a subject. The method includes determining a measured impedance value for at least one body segment, and then; for each body segment, using the measured impedance values to determine at least one indicator at least partially indicative of a level of extracellular fluid. Indicators can then be used to determine an indication of the hydration status.