A method of determining volumetric data of a predetermined anatomical feature is described. The method comprising determining volumetric data of one or more anatomical features present in a field of view of a depth sensing camera apparatus, identifying a predetermined anatomical feature as being present in the field of view of the depth sensing camera apparatus, associating the volumetric data of one of the one or more anatomical features with the identified predetermined anatomical feature, and outputting the volumetric data of the predetermined anatomical feature. An apparatus is also described.

An apparatus for monitoring for accumulation of lung fluid comprises a feeding tube having first electrode(s) positioned thereon for electrical contact with tissue of an esophagus of a target patient including a lower esophageal sphincter (LES) and/or tissue in proximity to the LES, second electrode(s) sized and shaped for contacting skin of the target patient, and a non-transitory memory having stored thereon code instructions for applying alternating current(s) to pair(s) of first and second electrodes, measuring a voltage over the pair(s), and computing an estimate of a change of lung fluid relative to a baseline in lung(s) of the target patient according to the applied alternating current and measured voltage, wherein the applying, the measuring, and the computing the estimate of the change in lung fluid are iteratively executed for monitoring the target patient for accumulation of lung fluid while the feeding tube is in use.

Method and system for monitoring an internal electrical impedance of a biological object including Internal Thoracic Impedance (ITI) comprising placing two arrays of electrodes on opposite sides of the biological object, wherein each of said two arrays comprise three equally spaced electrodes; imposing an alternating electrical current between pairs of the electrodes and obtaining voltage signals representative of a voltage drop thereon, calculating two values of internal electrical impedance of the biological object corresponding to the uttermost electrodes of said two arrays of electrodes placed on the opposite sides of the biological object.

A measurement device is disclosed for measuring a change in one or more of a circumference or a perimeter of at least a portion of an object having a surface. The measurement device includes a first part for attachment to the object, a second part having a first portion moveable relative to a first portion of the first part, a determining device for determining a displacement of the first portion of the second part relative to the first portion of the first part caused by the object changing, and a biasing device for biasing the first part and the second part towards engagement. The measured displacement is for use in determining the change in one or more of a circumference or a perimeter of the object.

An implanted device for an organ of a patient including a housing. The device includes a detector having electrodes that have a varying distance over time between them which produces a detector signal based on electrical signals derived from the organ. The device includes a signal processor disposed in the housing in communication with the detector which determines admittance from the detector signal based on the varying distance over time between the electrodes. The device includes a drive circuit disposed in the housing to cause the electrodes to generate emitted electrical signals. A method for monitoring a patient's organ.

There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising: obtaining a general variability measure of the physiological characteristic, wherein the general variability measure is based on a historical data set of values of the physiological characteristic from a plurality of further subjects; calculating a personalization factor specific to the subject, based on physiological data relating to the subject; generating at least one personalized abnormality criterion for the physiological characteristic, based on the obtained general variability measure and the calculated personalization factor; receiving a measured value of the physiological characteristic of the subject; and determining whether the received measured value is abnormal by comparing it to the at least one personalized abnormality criterion, wherein the received measured value is determined to be abnormal if it meets the at least one personalized abnormality criterion.

Described herein are method and apparatuses (devices and systems) for determining tissue wetness, and particularly lung wetness. In particular, described herein are apparatuses including patch sensors having a plurality of electrodes one a substrate that includes alignment tabs for aiding in alignment. Also described herein are patch sensors having one or more substrate modifications to enhance local flexibility of the patch. Finally, described herein are apparatuses for determining lung wetness that determine the contour of the body region onto which the patch is applied, e.g., using a diagnostic tool to measure body contour.

A method and system for the early detection of neurodegeneration are described. The method comprises the steps of: a) extracting samples of a plurality of eye-markers of a user from a video stream captured by a visible light camera; b) loading said samples of said plurality of eye-markers to a big data repository, analyzing and consolidating them into one biomarker for detecting multiple disorders by means of training a machine learning model; and c) determining the risk of said user to develop a neurodegenerative disease using said trained machine learning model as part of an early detection screening or diagnosis process.

Methods and systems for seamless adjustment of treatment are disclosed. A determination is made as to whether to intervene with a patient's treatment. Implanted device memory data is acquired over a pre-specified time period. Risk status is determined from the device memory data. Another external device memory data is acquired over a pre-specified time period. A determination is made as to whether to adjust treatment of the patient in response to the risk status, the data acquired from the implanted device memory and the external device memory data.

A method for use in analyzing impedance measurements performed on a subject, the subject being arranged such that body fluid levels in at least one leg segment of the subject changed between a first time and a second time, the method including, in a processing system, at the first time, determining at least one first impedance value indicative of the impedance of the at least one leg segment of the subject; at the second time, determining at least one second impedance value indicative of the impedance of the at least one leg segment of the subject; and determining an indicator based on the at least one first and at least one second impedance values, the indicator being indicative of changes in the body fluid levels.