Refine
Year of publication
- 2018 (59) (remove)
Document Type
- Article (41)
- Part of a Book (8)
- Conference Proceeding (7)
- Book (2)
- Doctoral Thesis (1)
Language
- English (59) (remove)
Keywords
- Bladder (1)
- Chemical imaging (1)
- Coat protein (1)
- Coverage probability (1)
- Cramér-von-Mises statistic (1)
- Dry surfaces (1)
- Enzyme nanocarrier (1)
- Equivalence test (1)
- Field-effect device (1)
- Glucose biosensor (1)
- Glucose oxidase (1)
- Goodness-of-fit tests for uniformity (1)
- Growth modelling (1)
- Integrated empirical distribution (survival) function (1)
- Lab-on-Chip (1)
- Light-addressable potentiometric sensor (1)
- Mechanical simulation (1)
- Microbial adhesion (1)
- Muscle fibers (1)
- Numerical inversion of Laplace transforms (1)
- Passive stretching (1)
- Pelvic floor dysfunction (1)
- Pelvic muscle (1)
- Potentiometry (1)
- Reconstruction (1)
- Rehabilitation Technology and Prosthetics (1)
- Sampling methods (1)
- Surface microorganisms (1)
- Surgical Navigation and Robotics (1)
- Swabbing (1)
- Tobacco mosaic virus (TMV) (1)
- Ureter (1)
- achilles tendon (1)
- energy absorption (1)
- energy dissipation (1)
- frequency mixing (1)
- functional data (1)
- huge dimensional data (1)
- magnetic beads (1)
- magnetic sensing (1)
- mechanical buffer (1)
- separable Hilbert space (1)
- stiffness (1)
- superparamagnetic nanoparticles (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (59) (remove)
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPS-CM) today are widely used for the investigation of normal electromechanical cardiac function, of cardiac medication and of mutations. Computational models are thus established that simulate the behavior of this kind of cells. This section first motivates the modeling of hiPS-CM and then presents and discusses several modeling approaches of microscopic and macroscopic constituents of human-induced pluripotent stem cell-derived and mature human cardiac tissue. The focus is led on the mapping of the computational results one can achieve with these models onto mature human cardiomyocyte models, the latter being the real matter of interest. Model adaptivity is the key feature that is discussed because it opens the way for modeling various biological effects like biological variability, medication, mutation and phenotypical expression. We compare the computational with experimental results with respect to normal cardiac function and with respect to inotropic and chronotropic drug effects. The section closes with a discussion on the status quo of the specificity of computational models and on what challenges have to be solved to reach patient-specificity.