Abstract: Method, device and system for providing consistent and reliable glucose response information to physiological changes and/or activities is provided to improve glycemic control and health management.

Abstract: A system for extracting and collecting a sample of a fluid of a user, comprising a sample collection device, comprising a sample container arranged to receive said sample; a cap arranged to cooperate with the sample container and having an incision mechanism movable in the cap by a triggering mechanism; a sealing mechanism; a sample extraction device, comprising a vacuum creation mechanism arranged to create vacuum in a vacuum chamber; and a valve control mechanism arranged to release the vacuum from the vacuum chamber to the sample collection device. The system simplifies collection of a fluid (e.g., blood) sample while keeping a high-quality standard for its analysis, minimizes the risk of injury due to handling the sample, reduces the risk of contamination of the collected sample, is compatible with standard blood analysers of central laboratories, requires minimal action from the user, and can collect large volumes of bodily fluid.

Abstract: A system and method for wirelessly and passively powering and/or interrogating an implanted stent using a touch probe assembly through a near-field electrical connection not over an air interface. The stent apparatus includes at least one stent member functioning as an antenna and an electronics module coupled to the at least one stent member. Also, a wirelessly and passively powered power meter for use with implanted stents. The power meter includes an electronics module coupled to a stent member, wherein the electronics module includes a programmable oscillator structured to generate an oscillating signal that is proportional to an amount of AC power received by the implantable stent apparatus power meter through the stent member.

Abstract: A computer-implemented method and system for estimating fluid loss. A graphical representation of a container is displayed. User inputs to display elements may include incrementing or decrementing sliding markers to desired set positions. A first user input may indicate a volume of a second fluid, and a second user input may indicate a total volume of fluid. A first volume of a first fluid may be estimated based on the first and second user inputs. A graphical representation of the first volume of the first fluid may be displayed as a fluid level within the graphical representation of the container. A second volume of the first fluid contained in an absorbent article may be estimated based on a difference between a dry weight and a wet weight measured on a scale. A quantity of the first fluid may be estimated based on the first and second volumes.

Abstract: A patient monitor for displaying a physiological signal can include a visual element having a middle portion indicative of a transition in the physiological signal between physiological states. The visual element can also include first and second extremity portions, the first extremity portion extending from the middle portion in a first direction and the second extremity portion extending from the middle portion in a second direction. The visual element can also include an actionable value indicator to specify a value about the middle portion and the first and second extremity portions. The patient monitor can also include a processor configured to cause the value indicator to actuate in both the first and second directions according to changes in the physiological signal.

Abstract: Disclosed is a system for measuring electrical charges propagating through a biological object. The system includes an implantable medical device inserted into the biological object, an electronic implant attached to the implantable medical device for measuring, processing and communicating electrical charges, at least one transponder configured on the implantable medical device to convert mechanical waves into electrical charges, wherein the electrical charges propagate through the biological object to be received by the electronic implant; and an external electronic hub device for providing electrical charges to influence the biological object. The external electronic hub device includes a controller, a frequency generator, a resonator, a filter unit, and an electrode. The electronic implant includes an arrangement of sub-circuits, an energy convertor, an amplifier, an analog/digital converting logic circuit, and a modulator.

Abstract: Disclosed are devices and methods for estimating blood pressure, which implement a pulse-transit-time-based blood pressure model that can be calibrated. Some implementations provide reliable and user friendly means for calibrating the blood pressure model using blood pressure perturbation methods and multiple sensors.

Abstract: One or more radar sensors can be used to monitor patients in a variety of different environments and embodiments. In one embodiment, radar sensors can be used to monitor a patient's breathing, including monitoring of tidal volume, chest expansion distance, breathing rate, etc. In another embodiment, a patient position can be monitored in a patient bed, which can be used as feedback for control of bladders of a patient bed. Additional embodiments are described herein.

Abstract: A support for a biological species sample collected on a sampling device including a gripping rod and a capture element having a capture surface for receiving the sample. The capture element being assembled with the gripping rod in order to form a distal portion of the sampling device. The support has a flat main face delimited by at least one side and a recess opening on the side of the support in which the sampling device can be inserted. The recess has a groove formed on the main face of the support in order to receive the distal portion of the sampling device. The groove being configured to interact with the distal portion in order to securely hold it on or in the support.

Abstract: An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.

Abstract: A transducer interface system/method allowing conversion from an analog sensor input to a standardized analog output interface is disclosed. In some preferred embodiments the system/method permits a fiber optic pressure sensor to be interfaced to a standard patient care monitor (PCM) system using standardized Wheatstone Bridge analog interface inputs. Within this context the Wheatstone Bridge sensed output is defined by stimulus from the PCM and modulation of bridge element values by the conditioned output of an analog pressure sensor. The use of analog-to-digital-to-analog conversion in this transducer interface permits retrofitting of PCM devices having analog Wheatstone Bridge inputs with advanced patient monitoring sensors without the need for specialized modifications to the baseline PCM data collection framework. Methods disclosed herein include techniques to connect arbitrary types/numbers of analog sensors to traditional PCM systems without the need for PCM system hardware/software modifications.

Abstract: According to the present invention, blood pressure surges is detected from time-series data on blood pressure of a subject that varies with pulsation based on predetermined determination criteria. A feature amount indicating a characteristic of each blood pressure surge thus detected is obtained. Statistical processing is performed on an occurrence number of the blood pressure surges thus detected and/or the feature amount to obtain a statistical amount for each of time slots. A required attention degree indicating a level of attention being required to the blood pressure surge is obtained for each of the time slots based on the statistical amount of the occurrence number of the blood pressure surges and/or the feature amount. The required attention degree thus obtained and/or the statistical amount are displayed side by side for each of the time slots on a display screen.

Abstract: According to the present invention, blood pressure surges are detected from time-series data on blood pressure of a subject that varies with pulsation based on predetermined determination criteria. For each blood pressure surge thus detected, an envelope connecting a plurality of pulse-corresponding peaks forming the blood pressure surge is acquired as an individual waveform. Statistical processing is performed on a plurality of individual waveforms to obtain a representative waveform and waveform variation among the blood pressure surges in the time-series data. On a display screen, a curve indicating the representative waveform is displayed with the curve superimposed on a region indicating the waveform variation among the blood pressure surges.

Abstract: A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Abstract: Presented here are techniques for controlling glucose levels of a patient based on predicted time to a target glucose level. One methodology predicts a trajectory of the blood glucose level based on past observations of the blood glucose level, determines a cost expression based on the trajectory, and affects a future command to an infusion pump to affect a cost value according to the cost expression. Another methodology defines a target blood glucose concentration level for the patient, observes a current blood glucose concentration for the patient based on signals received from a blood-glucose sensor, and predicts a duration of time for the patient's blood glucose concentration to reach the target blood glucose concentration level based on the observed current blood glucose concentration.

Abstract: A system includes: an aortic pressure sensor configured to measure aortic blood pressure of an individual; a distal sensor configured to measure a parameter in a blood vessel; a receiver configured to receive both (i) a signal representing the measured aortic blood pressure value, and (ii) a signal representing the parameter, the receiver comprising a display configured to display data that is based on at least the measured aortic blood pressure value and the measured parameter; and a communication interface configured to (i) receive a signal representing the measured aortic blood pressure value from the aortic pressure sensor via a wired connection, (ii) provide a signal representing the measured aortic blood pressure value to a monitoring device via a wired connection, and (iii) send a signal representing the measured aortic blood pressure value to the receiver via a wireless connection.

Abstract: The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g.

Abstract: A physiologic sensor for measuring the partial pressure of carbon dioxide is provided. The sensor includes a generally C-shaped in cross-section sensor cover, the sensor cover defining an opening on an underside thereof; a membrane body housed within the opening, the membrane comprising an amorphous fluoroplastic, the membrane including a first end and a second end and defines a chamber therewithin; a sensor body for coupling the membrane to the sensor cover; two or more electrodes positioned within the membrane chamber; and a substantially electrolyte-free liquid contained within the membrane chamber and in contact with the two or more electrodes.

Abstract: Methods of analyte monitoring management are provided. The methods include indicating on a user interface a plurality of analyte management procedures available for user-selection, where the plurality of analyte management procedures relate to analyte management parameters. Embodiments include receiving an indication to initiate a first procedure of the plurality of analyte management procedures, where the first procedure is for determining a first analyte management parameter. The methods may further include outputting user-instructions associated with the first procedure; receiving analyte measurement data for the first procedure; estimating the first analyte management parameter based on the analyte measurement data; calculating a degree of certainty for the estimation of the first analyte management parameter; and, initiating an action in response to an event associated with a status of the estimation of the first analyte management parameter or the degree of certainty.

Abstract: A method for decoding mood or other neuropsychiatric states from large-scale brain activity includes receiving, by a processor, large-scale brain activity signals from an electrode assembly coupled to a subject. The method includes continuously and automatically decoding a neuropsychiatric state of the subject from the large-scale brain activity signals received from a predictive network subset of brain sites coupled to the electrode assembly, contemporaneously with the receiving. The method includes providing a signal indicative of the neuropsychiatric state. A method for adaptive tracking of large-scale brain network activity includes characterizing, by one or more computers, a time-variant linear state-space model predictive of a brain state, at least in part by updating estimates of time-varying covariance matrices at time steps.