10 results about "Cardiac Catheters" patented technology

The invention discloses a non-invasive pulmonary arterial hypertension hemodynamic monitoring method based on machine learning, and belongs to the technical field of pulmonary arterial hypertension hemodynamic monitoring. The non-invasive pulmonary arterial hypertension hemodynamic monitoring method based on machine learning comprises the following steps: collecting BCG signal data through static data collection equipment; eCG signal data are acquired through dynamic data acquisition equipment; pPG signal data are collected through a photoelectric finger clip; static feature extraction is carried out on static data composed of the BCG signal data and the PPG signal data, and dynamic feature extraction is carried out on dynamic data composed of the ECG signal data and the PPG signal data; and inputting the static characteristics and the dynamic characteristics into a regression model, and training the regression model by taking the hemodynamic parameter CO measured by the right cardiac catheter at the same time as a target to obtain a cardiac displacement prediction regression model. By adopting the non-invasive pulmonary arterial hypertension hemodynamics monitoring method based on machine learning, the problems that an existing pulmonary arterial hypertension hemodynamics monitoring method is complex in operation and cannot meet daily rehabilitation training monitoring use are solved, and the prediction precision is improved.

A cardiac catheterization image recognition and evaluation method is disclosed. The first deep learning algorithm is used to conduct an object recognition process on the cardiac catheterization image to obtain the vessel object image. The image processing process is conducted to the cardiac catheterization image to obtain the vessel location image. The vessel object image and the vessel location image are combined to obtain the vessel contour image. The vessel type judging process is conducted to the vessel contour image to determine the type of vessel in the cardiac catheterization image. The second deep learning algorithm is used on the vessel contour image to detect the vessel occlusion location and to judge the vessel occlusion rate. Based on the type of vessel and the vessel occlusion rate at the vessel occlusion location, the cardiac catheterization image is evaluated to obtain the SYNTAX Score.

Systems and methods of automatically controlling, on a graphical user interface used by a physician, display views of an anatomic structure of a patient. Such systems and methods of automatically controlling display views of an anatomic structure of a patient can facilitate visualizing a position of a medical device relative to the anatomic structure during a medical procedure directed to the anatomic structure. In certain implementations, the systems and methods of the present disclosure provide automatic display views of a cardiac catheter relative to a three-dimensional model of a patient's heart cavity during a medical procedure such as cardiac ablation.

Aspects of the instant disclosure relate to various types of medical catheters with a deformable body that deflect in response to a force exerted on the catheter tip. A magnetic field sensor and permanent magnet respectively coupled on either side of the deformable body are used to determine a change in a magnetic field associated with the deflection of the catheter tip. Controller circuitry may receive a signal from the magnetic field sensor indicative of the deflection of the deformable body and associate the signal with the force exerted.

A medical tool testing apparatus comprising a vessel. The vessel comprises a scaffold formed from biomaterial, live cardiac tissue, generated from cardiac cells, proliferating on the scaffold, the live cardiac tissue configured to generate electrical activity. The vessel also comprises a medical tool, in contact with live cardiac tissue, used for a medical procedure within patient anatomy. Operational features of the medical tool are determined by a visually perceptible condition of the live cardiac tissue.

Described herein are systems and methods for responding to user input using an agent orchestrator. A system may include a cardiac catheter, a user interface, and a computing device configured to receive, from the user interface, a first user input, receive, from the catheter, the procedure data, determine, using an agent orchestrator, a first agent selection datum, wherein determining the first agent selection datum includes generating the first agent selection datum as a function of the first user input using a trained agent selection machine learning model, using a first agent corresponding to the first agent selection datum, determine a first agent output, wherein determining the first agent output includes inputting into the first agent the procedure data, and receiving, as an output from the first agent, the first agent output, and display, using the user interface, the first agent output.

The invention discloses an acellular matrix hydrogel material as well as a preparation method and application thereof. The preparation method comprises the following steps: pretreating fish tissues; performing decellularization treatment on the pretreated fish tissue to obtain a decellularized fish tissue material; the preparation method comprises the following steps: freeze-drying, grinding and digesting the decellularized fish tissue material, and collecting and freeze-drying filtrate of which the molecular weight cut-off is not less than 100KDa through ultrafiltration and centrifugation, so as to obtain the decellularized matrix hydrogel material. The acellular matrix hydrogel material provided by the invention takes the swimming bladder as a raw material, has strong fluidity, can be used for low-resistance cardiac catheter injection, can quickly form hydrogel, has excellent oxidation resistance and good blood compatibility, can improve the local microenvironment of a myocardial ischemia focus, and can be used for treating myocardial ischemia. The repairing of myocardial injury is promoted, so that the recovery of heart tissue structure and function is realized, and a foundation is laid for developing a natural extracellular matrix injectable hydrogel material for treating myocardial infarction.

Described herein are systems and methods for responding to user input using an agent orchestrator. A system may include a cardiac catheter, a user interface, and a computing device configured to receive, from the user interface, a first user input, receive, from the catheter, the procedure data, determine, using an agent orchestrator, a first agent selection datum, wherein determining the first agent selection datum includes generating the first agent selection datum as a function of the first user input using a trained agent selection machine learning model, using a first agent corresponding to the first agent selection datum, determine a first agent output, wherein determining the first agent output includes inputting into the first agent the procedure data, and receiving, as an output from the first agent, the first agent output, and display, using the user interface, the first agent output.

A method for processing at least one electrical signal received from a mapping catheter electrode during cardiac mapping of a patient's heart is disclosed. The method comprises processing the at least one electrical signal to identify a heartbeat in the signal at a time t; analyzing a portion of the at least one electrical signal prior to the detected heartbeat to identify a time t′ when motion of the mapping catheter electrode is at a minimum; and selecting a catheter position for the heartbeat as the position of the catheter at the time t′.

A catheter for electrophysiology includes a shaft extending along a longitudinal axis to a distal end and an end effector coupled to the distal end of the shaft. The end effector includes a first loop member disposed on a first side of the longitudinal axis, a second loop member disposed on a second side of the longitudinal axis, and a third loop member. The third loop member includes a first spine disposed on the first side of the longitudinal axis. The first spine includes a first plurality of electrodes. The first spine is positioned radially outwardly of the first loop member relative to the longitudinal axis. The third loop member further includes a second spine disposed on the second side of the longitudinal axis. The second spine includes a second plurality of electrodes and is positioned radially outwardly of the second loop member relative to the longitudinal axis.