Abstract:
A device and method for occluding the descending aorta includes inserting a gastroesophageal resuscitative aortic occlusion device into a stomach of a patient through the esophagus. The gastroesophageal resuscitative aortic occlusion device includes a catheter having a body and a first lumen, and a distal end having a first opening fluidly coupled to the first lumen. An inflatable balloon is disposed on the catheter. An interior of the inflatable balloon is fluidly coupled to the first opening. An inflation device is operably connected to the catheter and fluidly coupled to the first lumen. Activation of the inflation device forces fluid into the interior of the inflatable balloon through the first lumen and the first opening. Activating the inflation device to pressurizes the inflatable balloon with a fluid. An external pressure device applies pressure to the abdomen of the patient until blood flow through the descending aorta is reduced or stopped.
Abstract:
The present application describes techniques to filter signals contaminated with blunt noise. Calculated filter coefficients may be applied to signals to generate filtered output signals without the blunt noise. Sets of filter coefficients may be calculated utilizing an ε-tube filter process in conjunction with an autoregressive exogenous (ARX) model. Sets of filter coefficients may be calculated in accordance with a constrained optimization algorithm using data indicative of a source of the blunt noise. When the blunt noise is modeled in accordance with the ARX model, filtered output signals are generated having amplitudes constrained to a selected Epsilon value, which may be the amplitude of a primary component of the unfiltered signal. A set of filter coefficients may be calculated by determining, from the set of filter coefficients that satisfy the constrained optimization algorithm, a solution that produces a filtered output signal having the most time-invariant frequency composition.
Abstract:
Methods and systems monitor and assess brain bioimpedance through the use of an ocular window that assesses dynamic changes in cerebral blood volume (CBV). That ocular window is implemented through an ocular bioimpedance device that, in a non-invasive manner, measures numerous different brain health indicators using the bioimpedance measurements collected through the regions around the eyes. The ocular bioimpedance device may be goggles with localized measurement electrodes that include cathodes and anodes.
Abstract:
A method includes disposing a plurality of actuators about a subject, each actuator being configured to generate a respective vibration signal, each vibration signal applying a normal force to the subject, and controlling the plurality of actuators such that the respective vibration signal of each actuator of the plurality has a respective vibration characteristic. Each actuator is oriented such that the respective vibration signal propagates along a longitudinal axis of the subject for stimulation of the subject remote from the plurality of actuators.
Abstract:
Techniques for motion artifact (MA) reduction in impedance plethysmography (IP) and other physiological signals are provided. The techniques limit the amplitude of MA filtered signals by imposing an "ε-tube." The techniques may include the introduction of a regularization term to ensure that the pattern of a filtered signal is similar to the pattern of the primary component of the original, unfiltered signal by maximizing the regularity of the filtered signal. The techniques may be integrated into a portable monitoring device, such as an armband, to remove MA from various diagnostic signals and to extract primary signal components for producing enhanced device performance.
Abstract:
The present application describes techniques to filter signals contaminated with blunt noise. Calculated filter coefficients may be applied to signals to generate filtered output signals without the blunt noise. Sets of filter coefficients may be calculated utilizing an ε-tube filter process in conjunction with an autoregressive exogenous (ARX) model. Sets of filter coefficients may be calculated in accordance with a constrained optimization algorithm using data indicative of a source of the blunt noise. When the blunt noise is modeled in accordance with the ARX model, filtered output signals are generated having amplitudes constrained to a selected Epsilon value, which may be the amplitude of a primary component of the unfiltered signal. A set of filter coefficients may be calculated by determining, from the set of filter coefficients that satisfy the constrained optimization algorithm, a solution that produces a filtered output signal having the most time-invariant frequency composition.
Abstract:
Techniques develop models for classification for physical conditions of a subject based on monitored physiologic signal data. The models for classification are determined from data transformed and feature extracted using a Taut- string transformation and in some instances using a further Stockwell-transformation, applied in parallel or in series. Physical conditions, specifying the state of hemodynamic stability and reflective of the cardiovascular and nervous systems, are thus modeled using these techniques.
Abstract:
The present application describes techniques to filter signals contaminated with blunt noise. Calculated filter coefficients may be applied to signals to generate filtered output signals without the blunt noise. Sets of filter coefficients may be calculated utilizing an ε-tube filter process in conjunction with an autoregressive exogenous (ARX) model. Sets of filter coefficients may be calculated in accordance with a constrained optimization algorithm using data indicative of a source of the blunt noise. When the blunt noise is modeled in accordance with the ARX model, filtered output signals are generated having amplitudes constrained to a selected Epsilon value, which may be the amplitude of a primary component of the unfiltered signal. A set of filter coefficients may be calculated by determining, from the set of filter coefficients that satisfy the constrained optimization algorithm, a solution that produces a filtered output signal having the most time-invariant frequency composition.
Abstract:
Provided herein are compositions, systems, and methods for detecting microorganisms. In particular, provided herein are compositions, systems, and methods for rapid, multiplex detection of microorganism in unpurified biological samples.
Abstract:
A method includes disposing a plurality of actuators about a subject, each actuator being configured to generate a respective vibration signal, each vibration signal applying a normal force to the subject, and controlling the plurality of actuators such that the respective vibration signal of each actuator of the plurality has a respective vibration characteristic. Each actuator is oriented such that the respective vibration signal propagates along a longitudinal axis of the subject for stimulation of the subject remote from the plurality of actuators.