Award Abstract # 1446312
CPS: Frontier: Collaborative Research: Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: ROCHESTER INSTITUTE OF TECHNOLOGY
Initial Amendment Date: April 29, 2015
Latest Amendment Date: September 13, 2018
Award Number: 1446312
Award Instrument: Continuing Grant
Program Manager: Ralph Wachter
rwachter@nsf.gov
 (703)292-8950
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: May 1, 2015
End Date: May 31, 2020 (Estimated)
Total Intended Award Amount: $477,163.00
Total Awarded Amount to Date: $615,969.00
Funds Obligated to Date: FY 2015 = $57,669.00
FY 2016 = $276,199.00

FY 2018 = $37,409.00
History of Investigator:
  • Elizabeth Cherry (Principal Investigator)
    Elizabeth.cherry@gatech.edu
Recipient Sponsored Research Office: Rochester Institute of Tech
1 LOMB MEMORIAL DR
ROCHESTER
NY  US  14623-5603
(585)475-7987
Sponsor Congressional District: 25
Primary Place of Performance: Rochester Institute of Tech
NY  US  14623-5603
Primary Place of Performance
Congressional District:
25
Unique Entity Identifier (UEI): J6TWTRKC1X14
Parent UEI:
NSF Program(s): CPS-Cyber-Physical Systems
Primary Program Source: 01001516DB NSF RESEARCH & RELATED ACTIVIT
01001617DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7918, 8236, 9102
Program Element Code(s): 791800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

This project represents a cross-disciplinary collaborative research effort on developing rigorous, closed-loop approaches for designing, simulating, and verifying medical devices. The work will open fundamental new approaches for radically accelerating the pace of medical device innovation, especially in the sphere of cardiac-device design. Specific attention will be devoted to developing advanced formal methods-based approaches for analyzing controller designs for safety and effectiveness; and devising methods for expediting regulatory and other third-party reviews of device designs. The project team includes members with research backgrounds in computer science, electrical engineering, biophysics, and cardiology; the PIs will use a coordinated approach that balances theoretical, experimental and practical concerns to yield results that are intended to transform the practice of device design while also facilitating the translation of new cardiac therapies into practice.

The proposed effort will lead to significant advances in the state of the art for system verification and cardiac therapies based on the use of formal methods and closed-loop control and verification. The animating vision for the work is to enable the development of a true in silico design methodology for medical devices that can be used to speed the development of new devices and to provide greater assurance that their behaviors match designers' intentions, and to pass regulatory muster more quickly so that they can be used on patients needing their care. The scientific work being proposed will serve this vision by providing mathematically robust techniques for analyzing and verifying the behavior of medical devices, for modeling and simulating heart dynamics, and for conducting closed-loop verification of proposed therapeutic approaches.

The acceleration in medical device innovation achievable as a result of the proposed research will also have long-term and sustained societal benefits, as better diagnostic and therapeutic technologies enter into the practice of medicine more quickly. It will also yield a collection of tools and techniques that will be applicable in the design of other types of devices. Finally, it will contribute to the development of human resources and the further inclusion of under-represented groups via its extensive education and outreach programs, including intensive workshop experiences for undergraduates.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 12)
Cairns DI, Fenton FH, Cherry EM "Efficient parameterization of flexible cardiac action potential models" Chaos , v.27 , 2017 , p.093922
Cherry EM "Distinguishing mechanisms for alternans in cardiac cells using constant-diastolic-interval pacing" Chaos , v.27 , 2017 , p.093902
Cherry EM, Cairns DI, Holt N, LaVigne NS, Fenton FH, Hoffman MJ "Data assimilation for cardiac electrical dynamics" 5th International Conference on Computational and Mathematical Biomedical Engineering ? CMBE2017 , 2017 , p.423
Gomes JM, Weber dos Santos R, Cherry EM "Alternans promotion in cardiac electrophysiology models by delay differential equations" Chaos , v.27 , 2017 , p.093915
Kaboudian A, Cherry EM, Fenton FH "Large-scale interactive numerical experiments of chaos, solitons and fractals in real time via GPU in a web browser" Chaos, Solitons & Fractals , v.121 , 2019 , p.6
Kaboudian A, Cherry EM, Fenton FH "Real-time interactive simulations of large-scale systems on personal computers and cell phones: Toward patient-specific heart modeling" Science Advances , v.5 , 2019 , p.eaav6019
LaVigne NS, Holt N, Hoffman MJ, Cherry EM "Effects of model error on cardiac electrical wave state reconstruction using data assimilation" Chaos , v.27 , 2017 , p.093911
Loppini, Alessandro M. and Gizzi, Alessio H. and Cherubini, Christian and Cherry, Elizabeth and Fenton, Flavio and Filippi, Simonetta "Spatiotemporal correlation uncovers characteristic lengths in cardiac tissue" Physical Review E , v.100 , 2019 10.1103/PhysRevE.100.020201 Citation Details
Moreira Gomes, Johnny and Lobosco, Marcelo and Weber dos Santos, Rodrigo and Cherry, Elizabeth M. "Delay differential equation-based models of cardiac tissue: Efficient implementation and effects on spiral-wave dynamics" Chaos: An Interdisciplinary Journal of Nonlinear Science , v.29 , 2019 https://doi.org/10.1063/1.5128240 Citation Details
Rameh, Raffael Bechara and Cherry, Elizabeth M. and dos Santos, Rodrigo Weber "Single-variable delay-differential equation approximations of the Fitzhugh-Nagumo and Hodgkin-Huxley models" Communications in Nonlinear Science and Numerical Simulation , v.82 , 2020 10.1016/j.cnsns.2019.105066 Citation Details
Ulysses J, Berg L, Cherry EM, Liu BR, Weber dos Santos R, de Barros BG, Rocha BM, de Queiroz RAB "An optimization-based algorithm for the construction of cardiac Purkinje network models" IEEE Transactions on Biomedical Engineering , v.65 , 2018 , p.2560
(Showing: 1 - 10 of 12)

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