Simulation-based training in electrophysiology by iCell

被引:1
|
作者
Demir, Semahat S. [1 ]
机构
[1] Natl Sci Fdn, Div Bioengn & Environm Syst, Arlington, VA 22230 USA
关键词
education and training; computational tool for electrophysiology; single cell models; simulation data; computational [!text type='JAVA']JAVA[!/text] models; internet application;
D O I
10.1109/IEMBS.2005.1616549
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A simulation-based training resource was developed for electrophysiology. The resource focuses on computational modeling of cellular bioelectric activity and is called the interactive cell modeling tool (http://ssd1.bme.memphis.edu/icell). iCell can be used as a simulation-based teaching and learning tool for electrophysiology. The site consists of JAVA models of various cardiac cells and neurons, and provides simulation data of their bioelectric activities at single cell level. Each JAVA-based model is menu-driven and presents options to change model parameters or conditions, run and view simulation results. iCell has been used as a teaching and learning tool for seven graduate courses at the Joint Biomedical Engineering Program of University of Memphis and University of Tennessee. Scientists from the fields of biosciences, engineering, life sciences and medicine in 17 different countries have also tested and utilized Well as a simulation-based teaching, learning and collaboration environment.
引用
下载
收藏
页码:851 / 854
页数:4
相关论文
共 50 条
  • [41] iCell: an interactive cell modeling tool for electrophysiology
    Univ of Tennessee and Univ of, Memphis, Memphis, United States
    Annals of Biomedical Engineering, 2000, 28 (SUPPL. 1)
  • [42] Model-based explanations in simulation-based training
    Khan, TM
    Paul, SJ
    Brown, KE
    Leitch, RR
    INTELLIGENT TUTORING SYSTEMS, 1998, 1452 : 16 - 25
  • [43] Simulation-based training in obstetric anesthesia: an update
    MacLennan, K.
    Minehart, R. D.
    Vasco, M.
    Eley, V. A.
    INTERNATIONAL JOURNAL OF OBSTETRIC ANESTHESIA, 2023, 54
  • [44] Advances in Pediatric Surgery Simulation-Based Training
    Knowlin, Laquanda T.
    Laskay, Nicholas M. B.
    Jules, Nehemie P.
    Godzik, Jakub
    Chang, Todd P.
    Spurrier, Ryan G.
    CHILDREN-BASEL, 2024, 11 (01):
  • [45] Methods for scaling simulation-based teamwork training
    Delisle, Megan
    Pradarelli, Jason C.
    Panda, Nikhil
    Haynes, Alex B.
    Hannenberg, Alexander A.
    BMJ QUALITY & SAFETY, 2020, 29 (02) : 98 - 102
  • [46] Compatibility of ZOLL Defibrillators in Simulation-Based Training
    Shoemaker, Jamie Leigh
    Duty, Olivia T.
    Martin, Kenneth J.
    Geis, Gary L.
    SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2018, 13 (01): : 61 - 63
  • [47] Simulation-Based Training in Brain Death Determination
    Benjamin J. MacDougall
    Jennifer D. Robinson
    Liana Kappus
    Stephanie N. Sudikoff
    David M. Greer
    Neurocritical Care, 2014, 21 : 383 - 391
  • [48] Experience of Simulation-Based Training in a Developing Country
    Kim, Hyunjong
    SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2017, 12 (03): : 202 - 202
  • [49] Guidelines for Performance Measurement in Simulation-Based Training
    Salas, Eduardo
    Rosen, Michael
    Weaver, Sallie
    Held, Janet
    Weissmuller, Johnny
    ERGONOMICS IN DESIGN, 2009, 17 (04) : 12 - 18
  • [50] Simulation-Based Training to Improve Patient Care
    Mittal, Mayank Kumar
    Dhuper, Sonal
    Sohal, Harjyot
    ARCHIVES OF INTERNAL MEDICINE, 2010, 170 (02) : 212 - 213