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Towards Alternative Approaches for Coupling of a Soft Robotic Sleeve to the Heart

Overview of attention for article published in Annals of Biomedical Engineering, May 2018
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Title
Towards Alternative Approaches for Coupling of a Soft Robotic Sleeve to the Heart
Published in
Annals of Biomedical Engineering, May 2018
DOI 10.1007/s10439-018-2046-2
Pubmed ID
Authors

Markus A. Horvath, Claudia E. Varela, Eimear B. Dolan, William Whyte, David S. Monahan, Christopher J. Payne, Isaac A. Wamala, Nikolay V. Vasilyev, Frank A. Pigula, David J. Mooney, Conor J. Walsh, Garry P. Duffy, Ellen T. Roche

Abstract

Efficient coupling of soft robotic cardiac assist devices to the external surface of the heart is crucial to augment cardiac function and represents a hurdle to translation of this technology. In this work, we compare various fixation strategies for local and global coupling of a direct cardiac compression sleeve to the heart. For basal fixation, we find that a sutured Velcro band adheres the strongest to the epicardium. Next, we demonstrate that a mesh-based sleeve coupled to the myocardium improves function in an acute porcine heart failure model. Then, we analyze the biological integration of global interface material candidates (medical mesh and silicone) in a healthy and infarcted murine model and show that a mesh interface yields superior mechanical coupling via pull-off force, histology, and microcomputed tomography. These results can inform the design of a therapeutic approach where a mesh-based soft robotic DCC is implanted, allowed to biologically integrate with the epicardium, and actuated for active assistance at a later timepoint. This strategy may result in more efficient coupling of extracardiac sleeves to heart tissue, and lead to increased augmentation of heart function in end-stage heart failure patients.

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Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Student > Master 14 15%
Student > Bachelor 12 13%
Researcher 9 10%
Student > Doctoral Student 6 6%
Other 11 12%
Unknown 22 23%
Readers by discipline Count As %
Engineering 38 40%
Medicine and Dentistry 12 13%
Agricultural and Biological Sciences 4 4%
Materials Science 3 3%
Nursing and Health Professions 2 2%
Other 8 9%
Unknown 27 29%