Absolute blood volume in dialysis patients is a useful patient attribute to know for dialysis treatment, diagnosis, adjustments, etc. In some cases, it is difficult or impossible to directly determine absolute blood volume. Estimating absolute blood volume may be used to overcome the inability to directly determine the absolute blood volume. Estimating absolute blood volume may include obtaining a series of measurements of hemoconcentration of a patient over a time period, and estimating parameters for a physiological model based on the series of measurements. The absolute blood volume of the patient may be determined using the physiological model.

The present invention relates to an integrated system for monitoring physiological variables in cardiopulmonary bypass process, which utilizes a transducer specifically intended to act directly on the cardiopulmonary bypass. Said system according to the present invention comprises at least two components, one is a CPB transducer and a minimonitor, coupled to each other by means of a cable and an electrical connector.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Systems and methods for Endovascular Perfusion Augmentation for Critical Care (EPACC) are provided. The system may include a catheter having an expandable aortic blood flow regulation device disposed on the distal end of the catheter for placement within an aorta of a patient. The system may also include a catheter controller unit that causes the expandable aortic blood flow regulation device to expand and contract to restrict blood flow through the aorta. The system may also include one or more sensors for measuring physiological information indicative of blood flow through the aorta, and a non-transitory computer readable media having instructions stored thereon, wherein the instructions, when executed by a processor coupled to the one or more sensors, cause the processor to compare the measured physiological information with a target physiological range associated with blood flow through the aorta such that the catheter controller unit automatically adjusts expansion and contraction of the expandable aortic blood flow regulation device to adjust an amount of blood flow through the aorta if the measured physiological information falls outside the target physiological range.

The invention relates to devices, systems, and methods for estimating a patient BUN level prior to a dialysis session based on data received when introducing an ammonium removal solution through a zirconium phosphate sorbent module. The systems and methods can introduce an ammonia removal solution and determine an ammonia content of the ammonium removal solution effluent to estimate the patient pre-dialysis BUN level.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.