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Soft robotic artificial left ventricle simulator capable of reproducing myocardial biomechanics

James Davies, Mai Thanh Thai, Bibhu Sharma, Trung Thien Hoang, Chi Cong Nguyen, Phuoc Thien Phan, Thao Vuong, Adrienne Ji, Kefan Zhu, Emanuele Nicotra, Yi‐Chin Toh, Michael Stevens, Chris Hayward, Hoang‐Phuong Phan, Nigel H. Lovell, Thanh Nho

发表年份
2024
引用次数
17

摘要

The heart's intricate myocardial architecture has been called the Gordian knot of anatomy, an impossible tangle of intricate muscle fibers. This complexity dictates equally complex cardiac motions that are difficult to mimic in physical systems. If these motions could be generated by a robotic system, then cardiac device testing, cardiovascular disease studies, and surgical procedure training could reduce their reliance on animal models, saving time, costs, and lives. This work introduces a bioinspired soft robotic left ventricle simulator capable of reproducing the minutiae of cardiac motion while providing physiological pressures. This device uses thin-filament artificial muscles to mimic the multilayered myocardial architecture. To demonstrate the device's ability to follow the cardiac motions observed in the literature, we used canine myocardial strain data as input signals that were subsequently applied to each artificial myocardial layer. The device's ability to reproduce physiological volume and pressure under healthy and heart failure conditions, as well as effective simulation of a cardiac support device, were experimentally demonstrated in a left-sided mock circulation loop. This work also has the potential to deliver faithful simulated cardiac motion for preclinical device and surgical procedure testing, with the potential to simulate patient-specific myocardial architecture and motion.

关键词

VentricleCardiac VentricleBiomedical engineeringComputer scienceBiomechanicsSimulationSoft roboticsArtificial heartArtificial intelligenceMedicine

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