Abstract: The present disclosure provides for a cannula and balloon system for extracorporeal membrane oxygenation. The system may comprise one or more cannula, one or more insertion mechanism, and one or more balloon cuff. The method may comprise venous-venous or venous-arterial insertion into one or more blood vessels or chambers of the heart. The balloon cuff may allow fluid flow to avoid oxygenated blood restriction to a region of the body for the cannula insertion duration. One or both the balloon cuff and dual cannula may prevent occlusion, recirculation, and mixing of oxygenated and deoxygenated blood. When there is a dual cannula, the cannula may comprise a reinfusion cannula and a drainage cannula. A reinfusion cannula may bypass one or more chambers of the heart. When the system comprises more than one cannula, the cannulae may be joined via a cannula connection mechanism.

Abstract: A device and method for analyzing of a disturbed pattern of pulse wave front results in a non-invasive, real-time diagnostic tool of arterial vascular performance on both a global and regional scale. The device provides a single number quantifying how well the arterial tree as a whole is coupled to receive and distribute a stroke volume of a single heartbeat. Changing heart rate, contractility, volume status, and afterload will change stroke volume and ejection time. Different vasculatures with different properties (e.g., size and intrinsic stiffness) will be best matched for different stroke volumes and ejection times to provide optimal coupling. The device will allow finding the optimal set of parameters for individual patient.

Abstract: A device for measuring a ventricular-arterial coupling of a subject includes first and second inputs. The first input receives signals from a plurality of electrocardiogram sensors that are coupled to the subject at a plurality of first locations. The second input receives signals from a plurality of photoplethysmogram sensors that are coupled to the subject at a plurality of second locations. The second locations are selected from the group consisting of a head of the subject, an arm of the subject, and a leg of the subject. The signals received from the electrocardiogram sensors and the signals received from the photoplethysmogram sensors are received simultaneously. The device also includes a monitor configured to display the signals from the electrocardiogram sensors and the signals from the photoplethysmogram sensors.

Abstract: The present application relates to systems and methods for non-invasively determining at least one of left ventricular end diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) in a subject's heart, comprising: receiving, by a computer, a plurality of signals from a plurality of non-invasive sensors that measure a plurality of physiological effects that are correlated with functioning of said subject's heart, said plurality of physiological effects including at least one signal correlated with left ventricular blood pressure and at least one signal correlated with timing of heartbeat cycles of said subject's heart; training a machine learning model on said computer using said plurality of signals for periods of time in which said plurality of signals were being generated during a heart failure event of said subject's heart; determining said LVEDP or PCWP using said machine learning model at a time subsequent to said training and subsequent to said heart failure event.

Abstract: The present application relates to systems and methods for non-invasively determining at least one of left ventricular end diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) in a subject's heart, comprising: receiving, by a computer, a plurality of signals from a plurality of non-invasive sensors that measure a plurality of physiological effects that are correlated with functioning of said subject's heart, said plurality of physiological effects including at least one signal correlated with left ventricular blood pressure and at least one signal correlated with timing of heartbeat cycles of said subject's heart; training a machine learning model on said computer using said plurality of signals for periods of time in which said plurality of signals were being generated during a heart failure event of said subject's heart; determining said LVEDP or PCWP using said machine learning model at a time subsequent to said training and subsequent to said heart failure event.

Abstract: A device for measuring a ventricular-arterial coupling of a subject includes first and second inputs. The first input receives signals from a plurality of electrocardiogram sensors that are coupled to the subject at a plurality of first locations. The second input receives signals from a plurality of photoplethysmogram sensors that are coupled to the subject at a plurality of second locations. The second locations are selected from the group consisting of a head of the subject, an arm of the subject, and a leg of the subject. The signals received from the electrocardiogram sensors and the signals received from the photoplethysmogram sensors are received simultaneously. The device also includes a monitor configured to display the signals from the electrocardiogram sensors and the signals from the photoplethysmogram sensors.

Abstract: A device and method for analyzing of a disturbed pattern of pulse wave front results in a non-invasive, real-time diagnostic tool of arterial vascular performance on both a global and regional scale. The device provides a single number quantifying how well the arterial tree as a whole is coupled to receive and distribute a stroke volume of a single heartbeat. Changing heart rate, contractility, volume status, and afterload will change stroke volume and ejection time. Different vasculatures with different properties (e.g., size and intrinsic stiffness) will be best matched for different stroke volumes and ejection times to provide optimal coupling. The device will allow finding the optimal set of parameters for individual patient.