8 results about "Heart Part" patented technology

The utility model relates to a vest type bra, it relates to the technical field of female underwear, it contains: the front width, the back of the book connected in the both sides of front width, set in the lower of the front width and the back of the book one end, the cup pad inbed in the front width, and set in the middle of front width the heart part, the front width includes: the surface layer, the lining connected in one side of surface layer, the line silica gel of arc shape setting between surface layer and lining, and the tensile layer is bonded to the lower side of line silica gel and is in the heart part, compared with the existing bra, the above technical scheme has the advantages that the heart part is stressed evenly, is not easy to be stretched and wrinkled, the comfort is improved, and the stability of the lower is improved.

Critical isthmus for treatment of tachycardia via application of ablation therapy may be automatically identified by an electroanatomical mapping system from voltage and timing maps of a portion of a patient's heart. The system identifies one or more low-voltage regions from the voltage map and one or more deceleration zones from the timing map. Based on the identified low-voltage regions and deceleration zones, the system can generate an output including an identification of one or more critical isthmus locations through application of a classifier trained with data from a plurality of subjects that received ablation therapy for treatment of tachycardia. The system can also output a tachycardia termination confidence value for each identified critical isthmus location. The classifier may employ a convolutional neural network algorithm.

Embodiments of the present disclosure provide a left ventricular ejection fraction prediction method, device, equipment, medium and product. The method comprises: acquiring a heart ultrasound sequence of a heart part; inputting the heart ultrasound sequence into a target processing model trained in advance to output a left ventricular graph sequence which has been marked with a left ventricle; determining a plurality of effective image pairs according to area change rates of a plurality of left ventricular segmentation images in the left ventricular graph sequence, and determining left ventricular end-diastolic volumes and left ventricular end-systolic volumes corresponding to each effective image pair; and determining a left ventricular ejection fraction according to the left ventricular end-diastolic volumes and the left ventricular end-systolic volumes associated with the plurality of effective image pairs. The technical solution of the embodiments of the present disclosure processes the heart ultrasound sequence based on the target processing model to determine the left ventricular ejection fraction, which can weaken the influence of factors such as poor single-frame quality, respiratory jitter and arrhythmia, thereby achieving the effect of improving the accuracy of the left ventricular ejection fraction.

The application relates to an enhanced lifting bra, which relates to the technical field of underwear. The enhanced lifting bra comprises an inner layer, a surface layer and an adhesive layer arranged between the inner layer and the surface layer; the thickness of an ear part of the adhesive layer is greater than the thickness of the main body of the adhesive layer; the main body of the adhesive layer comprises a heart part, a lower digging part, a side comparison part, a front width part, a comparison bending part, a lower binding part and an upper binding part. The technical scheme has the advantages of enhanced lifting, enhanced gathering and upholding effects on the chest and better shaping effect.

Disclosed are various embodiments of methods, components and systems configured to determine a location of a source of cardiac arrhythmia in a patient's heart. In some embodiments, to determine a source location, electrogram signals are acquired from a region of the patients' heart using a first set of electrodes; and then a pre-trained artificial intelligence (AI) model is applied to predict the location of the cardiac arrhythmia source by using the signals. Importantly, pre-training of the AI model comprises acquiring electrogram signals from explanted human hearts, the signals are generated by a second set of electrodes assembled into an electrode array that covers at least a part of the explanted human heart, and acquiring co-registered functional and / or structural imaging data in the part of the explanted human heart covered with the electrode array, wherein the functional and / or structural imaging data provide location of at least one source of cardiac arrhythmia.

The utility model discloses a polycrystalline diamond compact base body, the upper surface of the base body is a combination surface combined with a diamond layer, the combination surface comprises a center part and an edge part, the center of the center part is provided with a circular bulge, first strip-shaped bulges are uniformly radiated outwards from the outer edge of the circular bulge, and a second strip-shaped bulge is arranged between any two first strip-shaped bulges. The second strip-shaped bulge is not in contact with the circular bulge; the outer edge of the core part is an edge part, the core part and the edge part are in arc transition, the edge part is an inclined surface with high inside and low outside, elliptical bulges are uniformly arranged on the edge part, and the outer parts of the elliptical bulges are close to the outer circle of the base body. According to the polycrystalline diamond compact, the bonding surface is optimized, the contact area of the hard alloy matrix and the diamond micro powder is increased, and the abrasion ratio, the impact resistance and the stability of the polycrystalline diamond compact are improved.

The utility model discloses a real-time visible mapping catheter in the technical field of mapping catheters, which comprises a first catheter which is a multi-cavity catheter and comprises a catheter cavity, a guide wire cavity and a guide wire cavity; the near end of the first catheter is connected with a functional handle, a groove is formed in the far end of the first catheter, and a guide wire penetrates through the guide wire cavity; the second catheter is arranged in the catheter cavity, the near end of the second catheter is also connected with the functional handle, the far end of the second catheter is located in the groove, and a tension wire is arranged in the second catheter; the ultrasonic transducer is arranged at the far end of the first catheter, the mapping electrode is arranged at the far end of the second catheter, and the tail of the functional handle is provided with two connecting channels which are respectively connected with the ultrasonic host and the electrophysiological system; the functional handle is used for controlling the guide wire and the tension wire. According to the mapping catheter, the position of the mapping electrode in the heart can be visually judged, mapping of the electric potential in the heart can be rapidly and effectively carried out, the accuracy and speed of mapping of the electric potential of the heart part are improved, and the operation time is shortened.

Critical isthmus for treatment of tachycardia via application of ablation therapy may be automatically identified by an electroanatomical mapping system from voltage and timing maps of a portion of a patient's heart. The system identifies one or more low-voltage regions from the voltage map and one or more deceleration zones from the timing map. Based on the identified low-voltage regions and deceleration zones, the system can generate an output including an identification of one or more critical isthmus locations through application of a classifier trained with data from a plurality of subjects that received ablation therapy for treatment of tachycardia. The system can also output a tachycardia termination confidence value for each identified critical isthmus location. The classifier may employ a convolutional neural network algorithm.