ABOUT THE RESEARCHER

OVERVIEW

Peter E. Hammer's primary research interests include mathematical modeling of cardiac biomechanics and electrophysiology as well as biomedical signal and image processing. Some applications of his work include heart valve simulation for surgical planning, analysis of new methods for mapping cardiac arrhythmias, and the study of heart rate variability. 

BACKGROUND

Peter received his BS in mechanical engineering from the University of New Hampshire, his MS in biomedical engineering from Boston University, and his PhD in Biomedical Engineering from Tufts University. He has been engaged in research at Children's Hospital Boston since 1995.

PUBLICATIONS

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  1. A geometrically adaptable heart valve replacement. Sci Transl Med. 2020 02 19; 12(531). View abstract
  2. Flow disturbances and the development of endocardial fibroelastosis. J Thorac Cardiovasc Surg. 2020 Feb; 159(2):637-646. View abstract
  3. Flow disturbances and progression of endocardial fibroelastosis - a case report. Cardiovasc Pathol. 2019 Sep - Oct; 42:1-3. View abstract
  4. Mechanical Properties of Autologous Pericardium Change With Fixation Time: Implications for Valve Reconstruction. Semin Thorac Cardiovasc Surg. 2019; 31(4):852-854. View abstract
  5. An intraoperative test device for aortic valve repair. J Thorac Cardiovasc Surg. 2019 01; 157(1):126-132. View abstract
  6. Innovation and science: The future of valve design. J Thorac Cardiovasc Surg. 2018 10; 156(4):1641. View abstract
  7. Three-Dimensional Mitral Valve Morphology in Children and Young Adults With Marfan Syndrome. J Am Soc Echocardiogr. 2018 11; 31(11):1168-1177.e1. View abstract
  8. Dehiscence of patch augmentation of a left-sided atrioventricular valve related to strenuous isometric exercise: Case report and failure analysis. J Thorac Cardiovasc Surg. 2018 10; 156(4):e165-e168. View abstract
  9. A leaflet plication clip is an effective surgical template for mitral valve foldoplasty. Eur J Cardiothorac Surg. 2018 05 01; 53(5):939-944. View abstract
  10. Fast image-based mitral valve simulation from individualized geometry. Int J Med Robot. 2018 Apr; 14(2). View abstract
  11. Designing valves: An art or science? J Thorac Cardiovasc Surg. 2018 02; 155(2):775-776. View abstract
  12. A Growth-Accommodating Implant for Paediatric Applications. Nat Biomed Eng. 2017; 1:818-825. View abstract
  13. Surgical reconstruction of semilunar valves in the growing child: Should we mimic the venous valve? A simulation study. J Thorac Cardiovasc Surg. 2017 02; 153(2):389-396. View abstract
  14. Surgical repair of congenital aortic regurgitation by aortic root reduction: A finite element study. J Biomech. 2015 Nov 05; 48(14):3883-9. View abstract
  15. Superparamagnetic iron oxide nanoparticles function as a long-term, multi-modal imaging label for non-invasive tracking of implanted progenitor cells. PLoS One. 2014; 9(9):e108695. View abstract
  16. Intracranial pressure versus cerebral perfusion pressure as a marker of outcomes in severe head injury: a prospective evaluation. Am J Surg. 2014 Sep; 208(3):363-71. View abstract
  17. Straightening of curved pattern of collagen fibers under load controls aortic valve shape. J Biomech. 2014 Jan 22; 47(2):341-6. View abstract
  18. Guidelines for sizing pericardium for aortic valve leaflet grafts. Ann Thorac Surg. 2013 Jul; 96(1):e25-7. View abstract
  19. Fast Simulation of Mitral Annuloplasty for Surgical Planning. Funct Imaging Model Heart. 2013 Jun; 7945:106-113. View abstract
  20. Transapical transcatheter valve-in-valve implantation for deteriorated mitral valve bioprostheses. Ann Thorac Surg. 2013 Jan; 95(1):111-7. View abstract
  21. Computational model of aortic valve surgical repair using grafted pericardium. J Biomech. 2012 Apr 30; 45(7):1199-204. View abstract
  22. On the Design of an Interactive, Patient-Specific Surgical Simulator for Mitral Valve Repair. Rep U S. 2011 Dec 31; 2011:1327-1332. View abstract
  23. Mass-spring model for simulation of heart valve tissue mechanical behavior. Ann Biomed Eng. 2011 Jun; 39(6):1668-79. View abstract
  24. Development of an ovine model of pediatric complete heart block. J Surg Res. 2011 Apr; 166(2):e103-8. View abstract
  25. Optical mapping of Langendorff-perfused rat hearts. J Vis Exp. 2009 Aug 11; (30). View abstract
  26. Cardiac electrophysiological characteristics of the mdx ( 5cv ) mouse model of Duchenne muscular dystrophy. J Interv Card Electrophysiol. 2007 Nov; 20(1-2):1-7. View abstract
  27. Fluctuating pressure-passivity is common in the cerebral circulation of sick premature infants. Pediatr Res. 2007 Apr; 61(4):467-73. View abstract
  28. Reduction and redistribution of gap and adherens junction proteins after ischemia and reperfusion. Ann Thorac Surg. 2006 Oct; 82(4):1472-9. View abstract
  29. Cardiac conduction through engineered tissue. Am J Pathol. 2006 Jul; 169(1):72-85. View abstract
  30. Resonance in a mathematical model of baroreflex control: arterial blood pressure waves accompanying postural stress. . 2005 Jun; 288(6):R1637-48. View abstract
  31. Implications of ventricular arrhythmia vulnerability during murine electrophysiology studies. Physiol Genomics. 2003 Sep 29; 15(1):84-91. View abstract
  32. Noninvasive serial evaluation of myocardial mechanics in pressure overload hypertrophy of rabbit myocardium. Herz. 2003 Feb; 28(1):52-62. View abstract
  33. Estimation of entrainment response using electrograms from remote sites: validation in animal and computer models of reentrant tachycardia. J Cardiovasc Electrophysiol. 2003 Jan; 14(1):52-61. View abstract
  34. Impaired parasympathetic heart rate control in mice with a reduction of functional G protein betagamma-subunits. . 2002 Feb; 282(2):H445-56. View abstract
  35. Induction of atrial tachycardia and fibrillation in the mouse heart. Cardiovasc Res. 2001 Jun; 50(3):463-73. View abstract
  36. Phenotypic screening for heart rate variability in the mouse. . 2000 Aug; 279(2):H733-40. View abstract
  37. Interpreting open- and closed-loop transfer relations between cardiorespiratory parameters: lessons learned from a computer model of beat-to-beat cardiovascular regulation. Methods Inf Med. 1997 Dec; 36(4-5):237-40. View abstract