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Biomimetic six-axis robots replicate human cardiac papillary muscle motion: pioneering the next generation of biomechanical heart simulator technology
Authors:Annabel M Imbrie-Moore  Matthew H Park  Michael J Paulsen  Mark Sellke  Rohun Kulkami  Hanjay Wang  Yuanjia Zhu  Justin M Farry  Alexandra T Bourdillon  Christine Callinan  Haley J Lucian  Camille E Hironaka  Daniela Deschamps  Y Joseph Woo
Affiliation:1.Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, USA;2.Department of Mechanical Engineering, Stanford University, Stanford, CA, USA;3.Department of Mathematics, Stanford University, Stanford, CA, USA;4.Department of Bioengineering, Stanford University, Stanford, CA, USA
Abstract:Papillary muscles serve as attachment points for chordae tendineae which anchor and position mitral valve leaflets for proper coaptation. As the ventricle contracts, the papillary muscles translate and rotate, impacting chordae and leaflet kinematics; this motion can be significantly affected in a diseased heart. In ex vivo heart simulation, an explanted valve is subjected to physiologic conditions and can be adapted to mimic a disease state, thus providing a valuable tool to quantitatively analyse biomechanics and optimize surgical valve repair. However, without the inclusion of papillary muscle motion, current simulators are limited in their ability to accurately replicate cardiac biomechanics. We developed and implemented image-guided papillary muscle (IPM) robots to mimic the precise motion of papillary muscles. The IPM robotic system was designed with six degrees of freedom to fully capture the native motion. Mathematical analysis was used to avoid singularity conditions, and a supercomputing cluster enabled the calculation of the system''s reachable workspace. The IPM robots were implemented in our heart simulator with motion prescribed by high-resolution human computed tomography images, revealing that papillary muscle motion significantly impacts the chordae force profile. Our IPM robotic system represents a significant advancement for ex vivo simulation, enabling more reliable cardiac simulations and repair optimizations.
Keywords:biomechanics  ex vivo modelling  cardiac imaging  robotics
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