首页|University of New South Wales Sydney Reports Findings in Robotics (Soft robotic artificial left ventricle simulator capable of reproducing myocardial biomechani cs)
University of New South Wales Sydney Reports Findings in Robotics (Soft robotic artificial left ventricle simulator capable of reproducing myocardial biomechani cs)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating in Sydney, Australia, by NewsRx journalists, research stated, "The heart's intricate myocardial architect ure has been called the Gordian knot of anatomy, an impossible tangle of intrica te muscle fibers. This complexity dictates equally complex cardiac motions that are difficult to mimic in physical systems." The news reporters obtained a quote from the research from the University of New South Wales Sydney, "If these motions could be generated by a robotic system, t hen cardiac device testing, cardiovascular disease studies, and surgical procedu re training could reduce their reliance on animal models, saving time, costs, an d lives. This work introduces a bioinspired soft robotic left ventricle simulato r capable of reproducing the minutiae of cardiac motion while providing physiolo gical pressures. This device uses thin-filament artificial muscles to mimic the multilayered myocardial architecture. To demonstrate the device's ability to fol low the cardiac motions observed in the literature, we used canine myocardial st rain data as input signals that were subsequently applied to each artificial myo cardial layer. The device's ability to reproduce physiological volume and pressu re under healthy and heart failure conditions, as well as effective simulation o f a cardiac support device, were experimentally demonstrated in a left-sided moc k circulation loop."
SydneyAustraliaAustralia and New Zea landBiomechanical EngineeringCardio DeviceCardiologyEmerging Technologie sHealth and MedicineMachine LearningMedical DevicesRoboticsRobots
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