No abstract available.
Heart, Artificial*

Korean artificial heart(AnyHeart) is a single-pieced and implantable bi-ventricular pulsatile pump adapting a moving actuator mechanism. The authors report a case of clinical application of AnyHeart as a life-saving device for the patients with end-stage heart disease combined with biventricular failure.
Heart Diseases ; Heart Failure ; Heart, Artificial ; Humans

Artificial Intelligence ; Heart Failure ; Humans

OBJECTIVETo assess the feasibility and safety of using the modified active fixation pacing leads model to pace the right ventricular outflow tract septum.

METHODSA total of 136 patients undergoing artificial heart pacemaker implantation with active fixation pacing leads were randomized into two groups to receive conventional right ventricular outflow tract pacing (CRVOTP) or modified right ventricular outflow tract pacing (MRVOTP). The electrode lead wire core was modeled in a double-curved three-dimensional shape in CRVOTP group and in a J-shaped bend in MRVOTP group before fixation at the right ventricular outflow tract septum.

RESULTSRight ventricular outflow tract septum pacing was achieved successfully in all the patients. None of patients experienced serious complications. No significant differences were found between the two groups in the number of times of electrode fixation, pacing thresholds, impedance, R wave height or QRS wave width during the operation, but MRVOTP was associated with a reduced time of X -ray exposure and operation (P<0.05) due to the convenience in electrode modeling and in passing the leads through the tricuspid annulus and the direct access to the right ventricular outflow tract septum. Postoperative follow-up of the patients showed no incidence of active fixation pacing lead dislocation and comparable pacing thresholds of the ventricular electrodes, impedance, R wave height and QRS wave width between the two groups.

CONCLUTIONSUsing the modified active fixation pacing leads model to pace the right ventricular outflow tract septum can reduce the time of X -ray exposure and operation with a low probability of lead damage.

Since 1995, four different types of artificial heart pumps and artificial valvo-pumps have been developed in Jiangsu University of China. Three types of heart pumps and valvo-pumps have been applied in animal experiments in University Texas, Medical Branch, USA and in Zhenjiang No.1 People's Hospital of China. The recently-developed UJS-IV pump is a totally implantable trans-ventricular and cross-valvular pump for emergercy treatments.
Equipment Design ; Heart Valve Prosthesis ; Heart, Artificial ; Heart-Assist Devices

Heart failure is one kind of cardiovascular disease with high risk and high incidence. As an effective treatment of heart failure, artificial heart is gradually used in clinical treatment. Blood compatibility is an important parameter or index of artificial heart, and how to evaluate it through hemodynamic design and
Heart Failure ; Heart, Artificial ; Heart-Assist Devices ; Hemodynamics ; Hemolysis ; Humans

Defibrillators, Implantable ; Heart ; Humans ; Pacemaker, Artificial ; Radiotherapy

Based on the heart rate measurement method using time-lapse image of human cheek, this paper proposes a novel measurement algorithm based on Artificial Intelligence. The algorithm combining with fuzzy logic theory acquires the heart beat point by using the defined fuzzy membership function of each sampled point. As a result, it calculates the heart rate by counting the heart beat points in a certain time period. Experiment shows said algorithm satisfies in operability, accuracy and robustness, which leads to constant practical value.
Algorithms ; Artificial Intelligence ; Heart Rate ; physiology ; Humans

The purpose of this paper is to achieve a measurement of temperature prediction for artificial heart without sensor, for which the research briefly describes the application of back propagation neural network as well as the optimized, by genetic algorithm, BP network. Owing to the limit of environment after the artificial heart implanted, detectable parameters out of body are taken advantage of to predict the working temperature of the pump. Lastly, contrast is made to demonstrate the prediction result between BP neural network and genetically optimized BP network, by which indicates that the probability is 1.84% with the margin of error more than 1%.
Heart, Artificial ; Neural Networks (Computer) ; Temperature

Artificial Intelligence ; Heart Failure ; Humans ; Prognosis