Disclosed are methods and corresponding systems and devices for providing an estimation model for use with one or more instances of a particular sensor. In some aspects, an estimation model usable for estimating a value of a physiological condition is determined based at least in part on simulated measurements. The simulated measurements are generated for a first sensor, through applying a translation model to convert historical measurements associated with a second sensor into measurements that would have been produced by the first sensor. The second sensor has a different design or configuration than the first sensor. The historical measurements represent changes in the physiological condition as observed by different instances of the second sensor. The estimation model can be made available to one or more electronic devices, including at least one device configured to apply the estimation model to a measurement from a corresponding instance of the first sensor.

A system for performing at least one impedance measurement on a biological subject, the system including a measuring device having a first housing including spaced pairs of foot drive and sense electrodes provided in electrical contact with feet of the subject in use, a second housing including spaced pairs of hand drive and sense electrodes provided in electrical contact with hands of the subject in use, at least one signal generator electrically connected to at least one of the drive electrodes to apply a drive signal to the subject, at least one sensor electrically connected to at least one of the sense electrodes to measure a response signal in the subject and a measuring device processor that at least in part controls the at least one signal generator, receives an indication of a measured response signal from the at least one sensor and generates measurement data indicative of at least one measured impedance value and a client device in communication with the measuring device, the client device being adapted to receive measurement data allowing the client device to display an indicator associated a result of the impedance measurement.

Disclosed is a bioimpedance measurement system: A stabilized high frequency current generator is connected to PadSet electrodes via a Patient Cable. Electrodes are connected to an adaptive circuit that conditions the resulting voltage signal and converts it to digital form. Firmware performs signal acquisition and relays data to the device.

Disclosed herein are a method and apparatus for photoacoustic imaging (PAI) or ultrasound (US) imaging of biological tissue (18). The method comprises recording 2D-PAI and/or US images (46) of said biological tissue (18), each 2D-PAI or US image (46) being associated with a corresponding image plane (38), providing, prior to recording said 2D-PAI or US images (46) of said biological tissue (18), an optical pattern (28, 40) on or close to a surface of said biological tissue, said optical pattern (28, 40) comprising one or more optical dyes configured for absorbing light at a pattern-characteristic wavelength. The optical pattern (28, 40) is configured such that the location of the image plane (38) with respect to the optical pattern (28, 40) can be determined at least approximately from said representation of the optical pattern (28, 40) in said 2D-PAI image (46) and/or that the relative location of consecutively taken 2D-PAI images (46) with respect to each other can be at least approximately determined.

Medical devices and related systems and methods are provided. A method of controlling medication delivery based on sensor input involves obtaining a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person. The measurement parameter is converted into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element. The method further involves determining a measurement value using the calibrated measurement parameter as input to a performance model. The performance model is derived from historical calibrated measurement parameters and corresponding reference values. The historical calibrated measurement parameters are from other instances of the sensing element. A command is then determined based on the measurement value and sent to a medical device. The command causes the medical device to deliver a dose of medication influencing the physiological condition of the person.

A quality control phantom and an evaluation method for magnetic resonance arterial spin labeling perfusion imaging includes: a phantom main body; a container, a circulating liquid being provided in the container; a tube, comprising a first tube and a second tube, one end of the first tube being in communication with the container, the other end being in communication with a liquid inlet of the phantom main body, one end of the second tube being in communication with the container, the other end being in communication with a liquid outlet of the phantom main body, and the first tube, the phantom main body, the second tube and the container jointly forming a closed loop; a pump, provided on the first tube and used to drive the circulating liquid to circulate along the closed loop to generate a perfusion signal in the phantom main body.

The disclosure relates to new methods for calibrating or adjusting a bioimpedance measuring device. Furthermore, the present disclosure relates to a medical set or system, a medical measuring standard, a method for testing a bioimpedance measuring device, and a bioimpedance measuring device.

An apparatus for non-invasively estimating blood pressure is provided. Thee apparatus for estimating blood pressure may include a bio-signal measurer configured to measure a bio-signal from a user and a processor configured to estimate blood pressure using the measured bio-signal. The processor may extract a first feature and a second feature from the bio-signal at an extraction time, estimate changes in the first feature and the second feature which have occurred during a time period from a calibration time at which the first feature and the second feature are calibrated to the extraction time at which the first feature and the second feature are extracted, and estimate a blood pressure based on the changes in the first feature and the second feature.

The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing heart activity of the subject may be received. A second signal representing time-varying information on at least one pulse wave of the subject may be received. A first feature in the first signal may be identified. A second feature in the second signal may be identified. A pulse transit time based on a difference between the first feature and the second feature may be computed. The blood pressure of the subject may be calculated according to a first model based on the computed pulse transit time and a first set of calibration values, the first set of calibration values relating to the subject.

A blood sugar regulation system including: a blood sugar sensor; an insulin injection device; and a processing and control unit predicting the future evolution of the blood sugar based on a physiological model and accordingly controlling the insulin injection device, wherein the processing and control unit is capable of: a) implementing a calibration of the model by taking into account a history of the measured blood sugar; b) at the end of the calibration step, determining whether the model is satisfactory or not based on at least one numerical indicator representative of the error between the blood sugar estimated based on the model and the real blood sugar measured by the sensor; and c) if the quality of the model is not satisfactory, controlling the insulin injection device without taking into account the predictions made from the model.