The present invention relates to a system for real-time determination of a local strain of a lung during artificial ventilation. The system comprises a device for electrical impedance tomography (EIT), which device is configured to capture an electrical impedance distribution along at least one two-dimensional section through a human thorax, and further comprises a device for assigning the captured electrical impedance distribution, which device is configured to divide the captured electrical impedance distribution at different times during the artificial ventilation into a multiplicity of EIT pixels and to assign a specific value of the electrical impedance at a specific time to a specific EIT pixel.

A method for estimating a likelihood of a stroke condition of a subject, the method comprising: acquiring clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data; extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion; comparing said potential stroke features with classified sampled data acquired from a plurality of subjects, each positively diagnosed with at least one stroke condition, defining a positive stroke dataset; and determining, according to said comparing, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a brain location of said subject.

A portable electrocardiographic device configured to measure an electrocardiographic waveform using a plurality of types of lead systems includes an electrode unit configured to be brought into contact with a subject's body and measure an electrocardiographic waveform, an analysis unit configured to analyze the electrocardiographic waveform measured by the electrode unit in accordance with a lead system at a time of measurement of the electrocardiographic waveform, a storage unit configured to store the electrocardiographic waveform measured at the electrode unit, the lead system, and an analysis result of the electrocardiographic waveform analyzed by the analysis unit in association with one another, and a remeasurement facilitating unit configured to prompt a user, when the analysis result or a state of the measured electrocardiographic waveform satisfies a predetermined condition, for remeasurement in a predetermined lead system different from the lead system at the time of the measurement of the electrocardiographic waveform.

An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user, and the application reports measurement data to a remote system.

A system and method for navigating to a target using fluoroscopic-based three dimensional volumetric data generated from two dimensional fluoroscopic images, including a catheter guide assembly including a sensor, an electromagnetic field generator, a fluoroscopic imaging device to acquire a fluoroscopic video of a target area about a plurality of angles relative to the target area, and a computing device. The computing device is configured to receive previously acquired CT data, determine the location of the sensor based on the electromagnetic field generated by the electromagnetic field generator, generate a three dimensional rendering of the target area based on the acquired fluoroscopic video, receive a selection of the catheter guide assembly in the generated three dimensional rendering, and register the generated three dimensional rendering of the target area with the previously acquired CT data to correct the position of the catheter guide assembly.

A surgical system includes a detector, comprising an array of pixels configured to detect light reflected by a surgical instrument and generate a first signal comprising a first dataset representative of a visible image of the surgical instrument. The surgical system also includes a processor configured to receive the first signal, generate a modified image of the surgical instrument that includes a control panel. The control panel includes one or more control elements representative of one or more operating parameters of the surgical instrument. The processor is further configured to receive an input to the control panel from a user, the input being effective to change one of the operating parameters. The processor is also configured to generate a command signal based on the input to change the one of the operating parameters.

A brain image analysis apparatus (2000) acquires input data (40) including a structural brain image (42) and a functional brain image (44) for a subject (10). The brain image analysis apparatus (2000) obtains analysis data (20) by inputting the input data (40) into an analysis model (2020). The analysis model (2020) has been trained in advance so as to output the analysis data (20) representing information about brain dysfunction in response to an input of the input data (40). The brain image analysis apparatus (2000) outputs, based on the analysis data (20), output data (30) representing information about the brain dysfunction of the subject (10).

A physiological sensor device and system, and a correction method are provided. The physiological sensor device includes a physiological signal sensor, a first compensation sensor, and a signal processing device. The physiological signal sensor is attached to an object to be detected to sense a physiological signal value. The first compensation sensor is disposed on the physiological signal sensor. The signal processing device is coupled to the physiological signal sensor and the first compensation sensor. The signal processing device obtains through the first compensation sensor a failure region of the physiological signal sensor partially detached from the object to be detected and obtains a first failure compensation value according to the failure region, so as to compensate the physiological signal value sensed by the physiological signal sensor.

A patient information system is described. A virtual representation of a patient is generated using a captured image of the patient. A graphical user interface is displayed on the display, the graphical user interface including a first screen portion configured to display the virtual representation of the patient and a second screen portion configured to display information. A selection of an area of interest is received on the virtual representation of the patient. Clinical and diagnostic information associated with the selected area of interest is received and displayed in the second screen portion of the graphical user interface. The graphical user interface also includes a timeline that displays events of interest. A selection of an event of interest causes the second screen portion of the graphical user interface to display clinical and diagnostic information associated with the selected event of interest.