A method includes applying, via a respiratory therapy system, initial therapy settings for a user during a first sleep session in which the user uses the respiratory therapy system. First physiological data, which is received from one or more sensors, is generated during the first sleep session. Modified therapy settings are applied, via the respiratory therapy system, during a second sleep session of the user. Second physiological data is received from the one or more sensors. The second physiological data is generated by the one or more sensors during the second sleep session. A set of sleep-related parameters is determined based on changes between the first physiological data and the second physiological data. One or more of a recommended therapy or recommended therapy settings is determined based on the set of sleep-related parameters.

A solution for estimating effectiveness of periodic motion during a physical exercise. such as a running exercise, is disclosed. According to an aspect, a computer-implemented method for estimating the effectiveness of the periodic motion includes: measuring, by using at least one motion sensor, periodic motion of a user, and thus acquiring motion measurement data during a time interval of a physical exercise; transforming the motion measurement data into frequency-domain samples; extracting, amongst the frequency-domain samples by using peak detection, a first subset of frequency-domain samples representing periodic motion; computing a metric indicating a ratio between energy on the first subset of frequency domain samples and energy on other frequency domain samples; and mapping the computed ratio to an effectiveness parameter by using a determined mapping rule and outputting the effectiveness parameter via an interface.

An apparatus for estimating blood glucose is provided. The apparatus for estimating blood glucose may include a spectrometer configured to measure a spectrum from an object, and a processor configured to monitor a change in a contact state between the object and the spectrometer, determine a calibration section based on the monitored change in the contact state, extract a background signal from a spectrum of the determined calibration section, and generate a personalized blood glucose estimation model based on the extracted background signal.

Provided herein are systems and methods to measure the intraocular pressure, ocular tissue geometry and the biomechanical properties of an ocular tissue, such as an eye-globe or cornea, in one instrument. The system is an optical coherence tomography subsystem and an applanation tonometer subsystem housed as one instrument and interfaced with a computer for at least data processing and image display. The system utilizes an air-puff and a focused micro air-pulse to induce deformation and applanation and displacement in the ocular tissue. Pressure profiles of the air puff with applanation times are utilized to measure intraocular pressure. Temporal profiles of displacement and/or spatio-temporal profiles of a displacement-generated elastic wave are analyzed to calculate biomechanical properties.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

An apparatus for estimating bio-information is provided. According to an example embodiment, the apparatus for estimating bio-information includes: a pulse wave sensor including channels, and configured to measure pulse wave signals from an object at the channels; a force sensor configured to measure a contact force applied by the object to the pulse wave sensor; and a processor configured to determine correlations between the pulse wave signals of the channels, and to estimate bio-information based on the measured pulse wave signals and the measured contact force based on the correlations satisfying a condition.

The present invention relates to imaging a hollow organ. In order to provide an improved and facilitated imaging of a hollow organ of interest, a device (10) for providing three-dimensional data of a hollow organ is provided that comprises a measurement input (12), a data processor (14) and an output interface (16). The measurement input is configured to receive a plurality of local electric field measurements (18) of at least one electrode on a catheter inserted in a lumen of a hollow organ of interest. The measurement input is also configured to receive geometrical data (20) representative of the location of the at least one electrode inside the lumen during the measurements. The data processor is configured to receive pre-set electric field characteristics (22) associated with predetermined anatomical landmarks of the hollow organ expectable in the lumen in dependency of a type of the hollow organ. The data processor is also configured to compare at least one of the plurality of local electric field measurements with the pre-set electric field characteristics to determine matching electric field measurements. The data processor is further configured to allocate local electric field measurements to matching electric field characteristics based on the geometrical data to identify anatomical landmarks of the hollow organ by identifying those local field measurements in the plurality of measurements that correspond to landmarks of the hollow organ. The data processor is still further configured to generate a three-dimensional image data cloud (24) by transforming the allocated electric field measurements into portions of the three-dimensional image data cloud based on the identified anatomical landmarks. The output interface is configured to provide the three-dimensional image data cloud.

Disclosed is a device for transdermally detecting the concentration of one or more substances in a subject's bloodstream. The device includes a signal generation module arranged to generate microwave frequency signals at one or more discrete frequencies. The device also includes a sensor module comprising at least one microwave resonance sensor arranged to make contact with a subject's skin, the at least one microwave resonance sensor arranged to transmit microwave frequency signals generated by the signal generation module into the subject's body. The device also includes a signal processing module connected to the at least one microwave resonance sensor and arranged to: detect a resonance characteristic of the at least one microwave resonance sensor, and process the resonance characteristic to determine the concentration of one or more substances in a subject's bloodstream.

A spectrally encoded flow cytometry (SEFC) technique for imaging blood in the microcirculation. Since the dependency of one of the axes of the image on time prevents effective quantification of essential clinical parameters, the optical path in an SEFC system is split into two parallel imaging lines, followed by data analysis for recovering the flow speed from the multiplexed data. The data analysis may be auto-correlation of a pair of images obtained from a sequence of images of the imaged blood vessel.

A method of analysing changes in the electrical activity of a patient's heart between a reference state and a test state, the method using a reference data set of electrophysiological data captured from the patient in the reference state and at least one test data set of electrophysiological data captured from the patient in the test state, each data set defining a plurality of electrograms for a respective plurality of spatial locations relative to the heart, the method comprising processing the electrophysiological data by, matching each electrogram in the reference data set to a corresponding electrogram in the at least one test data set to create a pair of electrograms for each of the plurality of spatial locations, and deriving a time delay for each spatial location by calculating the time delay between the electrograms of the pair of matched electrograms for that spatial location.