Tensys Medical, Inc.

Pulsion Medical Systems Ag

Pulsion Medical Systems Se

Shanyi Medical Technology (hangzhou) Co., Ltd.

Matthias Bohn

Oliver Goedje

Patrick Hunziker

Stephan Joeken

Oleksii Morozov

Marcus Veeck

Felix Friedrich

Christoph Manegold

Robert Herz

Thomas Thalmeier

Dave Eshbaugh

Manu Malbrain

Oliver Dr Goedje

Manu Dr Malbrain

Apparatus and methods for calculating cardiac output (CO) of a living subject using applanation tonometry measurements. In one embodiment, the apparatus and methods build a nonlinear mathematical model to correlate physiologic source data vectors to target CO values. The source data vectors include one or more measurable or derivable parameters such as: systolic and diastolic pressure, pulse pressure, beat-to-beat interval, mean arterial pressure, maximal slope of the pressure rise during systole, the area under systolic part of the pulse pressure wave, gender (male or female), age, height and weight. The target CO values are acquired using various methods, across a plurality of individuals. Multidimensional nonlinear optimization is then used to find a mathematical model which transforms the source data to the target CO data. The model is then applied to an individual by acquiring physiologic data for the individual and applying the model to the collected data.

Apparatus and methods for computing cardiac output of a living subject via applanation tonometry

Improved apparatus and methods for non-invasively assessing one or more physiologic (e.g., hemodynamic) parameters associated with a living organism. In one embodiment, the invention comprises an apparatus adapted to automatically and accurately place and maintain a sensor (e.g., tonometric pressure sensor) with respect to the anatomy of the subject. The apparatus is comprised of a sensor device removably coupled to a host device which is used to position the sensor during measurements. Methods for positioning the alignment apparatus and sensor, and operating the apparatus, are also disclosed.

Apparatus and methods for non-invasively measuring physiologic parameters of one or more subjects

In a fiber-optic probe for intravascular measurements, e.g. oxygen saturation measurements, the fiber-optical core has only two fibers. A single fiber core is also possible. A reinforcement fiber improves stiffness, kink resistance and overall strength of the probe. The reinforcement fiber is arranged essentially parallel to the core fibers. The reinforcement fiber may also be wound around the core in a helical manner thus improving the mechanical properties to an even higher degree. The outside of the sheath is coated with an antithrombogenic coating for reducing the danger of clots forming at the surface. The reinforcement fiber may be made of carbon, metal, ceramics or aramide.

Fiber-optic probe

From the global end-diastolic volume GEDV and the global ejection fraction GEF the patient monitor () determines a corrected global end-diastolic volume cGEDV according to/&#x192;()which is used as a novel parameter for volume responsiveness of the patient (). In the above formula, f(GEF) is a correction function depending on global ejection fraction GEF. Further, from the right ventricular end-diastolic volume RVEDV and the right ventricular ejection fraction RVEF the patient monitor () determines a corrected right ventricular end-diastolic volume cRVEDV according to()which is used as another novel parameter for volume responsiveness of the patient (). In the above formula, f(RVEF) is a correction function depending on right ventricular ejection fraction RVEF.

Patient monitoring apparatus and method for determining volume responsiveness of a monitored patient

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Munich, Germany

Matthias Bohn