The devices and methods generally relate to vibratable sensors for measuring ambient fluid pressure, in particular implantable sensors. The devices and methods are suited to implantation within the body to monitor physiological conditions, such as portal and/or hepatic venous blood pressure, and allow frequent, remote interrogation of venous pressure. The sensor devices are relatively small compared to conventional devices for measuring fluid pressure and can be implanted in the portohepatic venous system, whereas conventional devices are too large. The small size of the device is accomplished by using a thick sensor membrane, compared to conventional devices, and by limiting the size of additional elements of the device relative to the size of the sensor membrane. The thicker sensor member also obviates the need for multiple sensor arrays and maintains the accuracy and robustness of the sensor device. A data capture, processing, and display system provides a pressure measurement reading.

Impedance devices with integrated circuit modules and method of using the same to obtain luminal organ information. In one embodiment, a device comprises an elongated body for at least partial insertion into a mammalian luminal organ and having a first conductor extending therethrough, a proximal electrical unit connected to the elongated body to deliver power along the first conductor, and a sensor substrate located at or near a distal end of the elongated body and comprising a circuit module operable and/or configured to direct the sizing portion to obtain sizing data and the pressure sensor to obtain pressure data, and facilitate transmission of the sizing data and/or the pressure data to the proximal electrical unit.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Embodiments provide devices, preparations and methods for delivering therapeutic agents (TAs) such as clotting factors (CFs, e.g., Factor 8) within the GI tract. Many embodiments provide a swallowable device e.g., a capsule for delivering TAs into the intestinal wall (IW). Embodiments also provide TA preparations configured to be contained within the capsule, advanced from the capsule into the IW and/or surrounding tissue (ST) and degrade to release the TA into the bloodstream to produce a therapeutic effect (e.g., improved clotting). The preparation can be operably coupled to delivery means having a first configuration where the preparation is contained in the capsule and a second configuration where the preparation is advanced out of the capsule into the IW or ST (e.g., the peritoneal cavity). Embodiments are particularly useful for delivery of CFs for treatment of clotting disorders (e.g., hemophilia) where such CFs are poorly absorbed and/or degraded within the GI tract.

A quantitative gait training and/or analysis system includes one or more footwear modules that may include a piezoresistive sensor, an inertial sensor and an independent logic unit. The footwear module functions to permit the extraction of gait kinematics and evaluation thereof in real time, or data may be stored for later reduction and analysis. Embodiments relating to calibration-based estimation of kinematic gait parameters are described.

The present technology relates to systems and/or methods for enabling a respiratory device to be configured when a clinician or healthcare professional is remote from the respiratory device. One form provides a method of configuring a respiratory device, the respiratory device comprising a processor configured to control operation of the respiratory device in accordance with a plurality of operating parameters. The method comprises determining a combination of settings for the device from an identifier sent to the device, the identifier corresponding to the combination of settings, and configuring the respiratory device accordingly. Another form provides a method of verifying the configuration of the respiratory device by outputting an identifier corresponding to the combination of settings for the device, and determining the settings from the identifier.

A system includes a sensor configured to generate data associated with movements of a resident for a period of time, a memory storing machine-readable instructions, and a control system arranged to provide control signals to one or more electronic devices. The control system also includes one or more processors configured to execute the machine-readable instructions to analyze the generated data associated with the movement of the resident, determine, based at least in part on the analysis, a likelihood for a fall event to occur for the resident within a predetermined amount of time, and responsive to the determination of the likelihood for the fall event satisfying a threshold, cause an operation of the one or more electronic devices to be modified.

[Object] To provide an information processing apparatus, a biological data measurement system, an information processing method, and a program that can improve the accuracy of acquired biological data. [Solving Means] An information processing apparatus according to the present technology includes a body motion noise prediction unit and a control unit. The body motion noise prediction unit predicts, on the basis of a reference signal that is body motion information of a person to be measured detected by a reference signal sensor, that body motion noise caused by body motion of the person to be measured is added to a detection biological signal detected by a biological sensor from the person to be measured. The control unit controls signal processing of the detection biological signal on the basis of a prediction result of the body motion noise prediction unit.

A system includes a processor circuit configured to receive a first set of data. The first set of data includes two pressure measurements and a flow measurement from the vasculature of a patient obtained while the sympathetic nervous system of the patient is not under stimulation. The processor circuit calculates a blood flow resistance value based on the first set of data. The processor circuit then receives a second set of data. The second set of data also includes two pressure measurements and a flow measurement from the vasculature of the patient obtained while the sympathetic nervous system of the patient is stimulated. The processor circuit calculates another blood resistance value based on the second set of data. The processor circuit then compares the two blood flow resistance values to determine whether a denervation procedure would be effective to mitigate the nerve system's response to stimulation. The processor circuit outputs to a screen display metrics obtained from the measurement procedure.