Medtronic, Inc.

Mozarc Medical US LLC

Capricor Therapeutics, Inc.

VenKatesh R Manda

Martin T Gerber

John E Burnes

Christopher M Hobot

Yong Kyun Cho

Suping Lyu

Bryant J Pudil

Thomas Edward Meyer

Orhan Soykan

Daniel Bloomberg

Tico Blumenthal

Rebecca L Poindexter

Linda L Ruetz

Amy Roettger

David B Lura

Tommy Dean Bennett

Carl A Schu

Andrew J L Walsh

William P VanAntwerp

Byant Pudil

Brandon S Sparks

In examples described herein, a system includes an elongate member configured to be introduced into vasculature of a patient. The elongate member includes a pressure sensor configured to generate a pressure signal indicative of pressure in the vasculature adjacent the needle. The system includes processing circuitry configured to receive the pressure signal from the pressure sensor, detect, based on the pressure signal, dislodgment of the elongate member from the vasculature, and generate an output in response to detecting the dislodgment of the elongate member from the vasculature.

Medical device dislodgment detection

Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

Adaptive system for blood fluid removal

A system and method for synchronizing patient medical parameters and dialysis parameters. The system and related method allow for the determination of the effect of dialysis on patient health. The invention also allows for the determination of whether observed patient health effects are due to specific dialysis parameters and for making necessary changes to the dialysis parameters in order to improve patient health.

Precision dialysis monitoring and synchonization system

Precision dialysis monitoring and synchronization system

Systems and methods are provided for determining an estimated risk of arrhythmia during or after dialysis based on changes in serum potassium concentration of a patient and an amount of fluid removed from the patient during dialysis. The systems and methods allow for a determination of a risk that arrhythmia will occur due to the changes in potassium and fluid volume of a patient during dialysis, and for optimizing a dialysis prescription in order to minimize the risk of arrhythmia.

Dialysis prescription optimization for decreased arrhythmias

A system and method for determining the amount of fluid to be removed from a dialysis patient is disclosed. The system utilizes sensors and a computer. The computer obtains the input parameters from the sensors, along with information added directly by the user, and performs a forward algorithm to determine a recommended change in patient fluid level. As fluid is removed, the effect of the removal on the parameters is detected by the sensors and re-transmitted back to the computer. The computer then performs a backward algorithm to refine the variables used in the forward algorithm and obtain more accurate results. The system and method provide for changing the amount of fluid removed from the patient based on the results of the algorithm and the data received from the sensors.

Method and device to manage fluid volumes in the body

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.

Method and device to monitor patients with kidney disease

Methods include monitoring indicators of blood pH or blood electrolyte levels during a blood fluid removal session and adjusting concentrations of pH buffers or electrolytes in dialysate or replacement fluid used during the session based on the monitored indicators. Blood fluid removal systems may employ sensors that monitor blood pH or electrolyte levels to adjust the fluid parameters during a blood fluid removal session.

Electrolyte and pH monitoring for fluid removal processes

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Stillwater, MN, United States of America

VenKatesh R Manda