A method may include accessing a terminal branch of an ophthalmic artery through a face of a subject. Additionally, the method may include positioning a device within the ophthalmic artery of the subject and treating at least one of a blockage, a stenosis, a lesion, plaque or other physiology in at least one of the ophthalmic artery or a junction between an internal carotid artery and the ophthalmic artery.

The present invention is directed to an integrated system and a method for utilizing the system to detect and remove blood-borne factors of interest, such as pathogens and/or toxins and/or cytokines, from blood or serum (blood) by contacting the blood with a solid, essentially nonporous substrate which has been surface treated with molecules or chemical groups (the adsorbent media or media) having a binding affinity for the pathogens and/or toxins to be removed (the adsorbents). The invention can be used to remove virulence factors, e.g. toxins, that are released from various pathogens. In one aspect, the invention is for the treatment of sepsis and infection, such as infections associated with battle field trauma.

A medico-technical measuring device for measuring a property of a fluid, such as pressure for pressure measurement, includes a line extending along a central longitudinal axis to guide a fluid, such as blood, within a longitudinal cavity delimited by a wall. A sensor unit has a sensor and measures a property of the fluid guided in the longitudinal cavity. The line is provided with a radial cavity inserted in the wall in a radial direction, in which the sensor unit is at least partially arranged, and which is integrated in the wall such that the sensor is in communication with the fluid. In this way, a measuring device can be provided that allows simple handlingin particular, in combination with a comparatively precise measurementespecially, pressure measurement. The measuring device may be produced according to a method and the measuring device may be used in a measuring method.

In one exemplary embodiment, a wearable extracorporeal life support device includes a catheter fluidly connected to a pump and first and second modular extracorporeal life support components. The device may also be configured to be attached to a garment. The pump and the first and second modular extracorporeal life support components may be fluidly connected in series. The pump and the first and second modular extracorporeal life support components may also be fluidly connected in parallel. The first modular extracorporeal life support component may be a lung membrane and the second modular extracorporeal life support component may be a dialysis membrane.

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.

A sensor assembly measures characteristics of a fluid entering or exiting a patient via a catheter. The sensor assembly includes a flow tube that accepts the fluid at a first end thereof expels the fluid at a second end thereof, a plurality of sensors disposed about the flow tube, the sensors including at least one temperature sensor that measures temperature of the fluid and at least one pressure sensor that measures pressure of the fluid, and a connector that connects the sensor assembly to the catheter. The sensors may also include a clarity sensor, a conductivity sensor, a flow sensor, and/or an air detector. The sensor assembly may also include a wireless communication device that provides wireless communication. The sensor assembly may communicate with a dialysis machine via a network. The dialysis machine may be a peritoneal dialysis machine.

A medical monitoring device for monitoring electrical signals from the body of a subject is described. The medical monitoring device monitors electrical signals originating from a cardiac cycle of the subject and associates each cardiac cycle with a time index. The medical monitoring device applies a forward computational procedure to generate a risk score indicative of hyperkalemia, hypokalemia or arrhythmia of the subject. The medical monitoring device can adjust the forward computational procedure based upon clinical data obtained from the subject.

The present invention relates to a method of determining the body temperature or a temperature correlated therewith of a patient connected to an extracorporeal blood circuit, wherein the extracorporeal blood circuit has a heat exchanger which is flowed through by blood at one side and by a heat carrier medium at the other side, wherein the temperature (T.sub.di) of the heat carrier medium at the inlet side is measured at the inlet of the heat exchanger and the temperature (T.sub.do) of the heat carrier medium at the outlet side is measured at the outlet of the heat exchanger and the volume flow of the heat carrier medium (Q.sub.d) is measured; and in that the temperature (T.sub.bi) of the blood at the inlet side is determined at the inlet of the heat exchanger in accordance with the relationship T.sub.bi=T.sub.di (Q.sub.d/D) (T.sub.doT.sub.di), where the value D is a value characteristic of the heat transfer by the heat exchanger.

The present teachings include analyzing oxygen saturation levels sensed during a hemodialysis treatment for a patient to determine whether the patient has a medical condition based on hypoxemia, apnea, or the like experienced during the treatment. To this end, the present teachings may include the use of a machine-learning algorithm trained to identify a presence of a high-frequency intermittent pattern that would be formed in a plot of the oxygen saturation levels, e.g., to determine a severity of respiratory instability experienced. The present teaching may also or instead include a time-series analysis including at least one of: (i) calculating recurrence-based quantification, such as, but not limited to, recurrence rate, determinism, and laminarity; (ii) calculating the optimal recurrence threshold based on maximum variations of the system's determinism and degree of predictability; and (iii) calculating complexity-based measures such as permutation entropy. Such analyses may be used to detect, inter-alia, sleep apnea syndrome.

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.