Methods and systems are disclosed for creating and using a neural network model to estimate a cardiac parameter of a patient, and using the estimated parameter in providing blood pump support to improve patient cardiac performance and heart health. Particular adaptations include adjusting blood pump parameters and determining whether and how to increase or decrease support, or wean the patient from the blood pump altogether. The model is created based on neural network processing of data from a first patient set and includes measured hemodynamic and pump parameters compared to a cardiac parameter measured in situ, for example the left ventricular volume measured by millar (in animals) or inca (in human) catheter. After development of a model based on the first set of patients, the model is applied to a patient in a second set to estimate the cardiac parameter without use of an additional catheter or direct measurement.

The disclosure relates to a method and a tracking system for tracking a medical object. Herein, image data obtained by an imaging method and a predetermined target position is acquired for the medical object. The image data is used to detect the medical object automatically by an image processing algorithm and track the position thereof in a time-resolved manner. Furthermore, it is furthermore indicated when, or that, the detected medical object has reached the target position. A plurality of the detected positions of the medical object and associated detection times are stored in a database.

A method for determining hemodynamic parameters may be provided. The method may include obtaining image data of a subject. The method may include generating a first vascular model and a second vascular model based on the image data and coupling the first vascular model with the second vascular model using an intermediate model to form a coupled vascular model. The method may also include setting at least one of a first boundary condition of the first vascular model or a second boundary condition of the second vascular model and determining a flow field distribution of the coupled vascular model based on the at least one of the first boundary condition or the second boundary condition. The method may further include determining hemodynamic parameters based on the flow field distribution.

Systems and methods for determining a concordance between results of medical assessments are provided. Results of a medical assessment of a first type for an anatomical object of a patient and results of a medical assessment of a second type for the anatomical object are received. The results of the medical assessment of the first type are converted to a hemodynamic measure. A concordance analysis between the results of the medical assessment of the first type and the results of the medical assessment of the second type based on the hemodynamic measure is performed. Results of the concordance analysis are output.

An instrument for performing thorascopic repair of heart valves includes a shaft for extending through the chest cavity and into a heart chamber providing access to a valve needing repair. A movable tip on the shaft is operable to capture a valve leaflet and a needle is operable to penetrate a capture valve leaflet and draw the suture therethrough. The suture is thus fastened to the valve leaflet and the instrument is withdrawn from the heart chamber transporting the suture outside the heart chamber. The suture is anchored to the heart wall with proper tension as determined by observing valve operation with an ultrasonic imaging system.

A stretch-measurement probe includes an elongate outer sleeve, expansion feature associated with a distal portion of the outer sleeve, and an elongate inner rod disposed at least partially within the outer sleeve. The expansion feature is configured to allow a longitudinal distance between a proximal end of the outer sleeve and the distal end of the outer sleeve to be varied.

A method for providing personalized health assessment of a subject includes: receiving a raw electrocardiography (ECG) signal of a subject from an ECG device and a raw blood pressure (BP) signal of the subject from a BP waveform detector; calculating a beat-to-beat ECG signal from the raw ECG signal; calculating a beat-to-beat BP signal from the raw BP signal; calculating a beat-to-beat pulse arrival time (PAT) signal that is measured as a time delay between the beat-to-beat ECG signal and the beat-to-beat BP signal; calculating an interpolated beat-to-beat PAT signal and an interpolated beat-to-beat BP signal by interpolating the beat-to-beat PAT signal and the beat-to-beat BP signal, respectively; assessing a subject-specific relationship between the interpolated beat-to-beat PAT signal and the interpolated beat-to-beat BP signal; and estimating a real-time blood pressure of the subject based on the subject-specific relationship.

Provided are foldable electronic device and method for estimating bio-information by using the same. The foldable electronic device may include: a main body part including a first main body and a second main body that are configured to be folded toward each other or unfolded from each other along a fold line where the first main body and the second main body meet; an image sensor part including a first image sensor and a second image sensor which are disposed at the first main body; and a processor configured to obtain a contact image of an object from the first image sensor disposed at the first main body and obtain an image of a marker that is displayed on the second main body, from the second image sensor disposed at the first main body, when the object is in contact with the first image sensor and the main body part is folded along the fold line, and estimate bio-information based on the contact image of the object and the image of the marker.

Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters and aortic valve conformance and compliance in a subject. The method requires measuring the peripheral pulse volume waveform (PVW), the peripheral pulse pressure waveform (PPW), and the peripheral pulse velocity waveform (PUW) from the same artery using a non-invasive device. The waveforms PPW and PUW are used to calculate the waveform dPdU which is used to determine aortic valve ejection volume, closure volume, and quality factor, as well as stroke volume and cardiac output. The disclosed methods and devices are useful in the diagnosis and treatment of aortic valve disease, disorders, and dysfunction.

An information display and control system that enables a fast and easy understanding and management of the status of the patient's dialysis is disclosed. Also disclosed is an information display and control system that enables a fast and easy understanding and management of the status of the patient's cardiovascular and ventilation systems. The system can control management of a patient's dialysis, as well as administration and management of a patient's medication and fluids. The display is organized by goals related to management of patient's dialysis machine, blood flow, dialyzer flow, and patient's body weight. The display is also organized by goals related to management of patient's cardiovascular system, ventilation system, and medications and fluids administration and management. Such goals include urea reduction rate, urea reduction ratio, fractional urea clearance, total urea reduction, dialysis treatment duration, hemodynamics, oxygenation, CO.sub.2 removal, medication status, and fluids status.