Titlebook: Biomedical Modeling and Simulation on a PC; A Workbench for Phys Rogier P. Wijk van Brievingh (Professor of Biomedi Textbook 1993 Springer-

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978-1-4613-9165-4Springer-Verlag New York, Inc. 1993

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https://doi.org/10.1007/978-94-007-1783-1ulation of physiological systems have widely been accepted as an interdisciplinary method by biomedical scientists, requiring direct cooperation between engineers, computer science experts, applied mathematicians, physiologists and physicians. Hence mathematical, biochemical or physical models of ph

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Environmental Conservation of Lake Biwa, the gap separating these two schools has narrowed. Both the numerical modeling community and artificial intelligence (AI) community have found that AI can contribute to simulation and vice versa. In this contribution an introductory review is presented on AI as a tool in simulation and, another add

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https://doi.org/10.1007/978-94-009-7266-7riented, interpretative simulation program with its many additional facilities. It represents about the maximum result achievable with an interactive, interpretative, block-oriented simulation program. Still, some limitations can be recognized. In order to circumvent these limitations new developmen

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https://doi.org/10.1007/978-94-009-9594-9age. This transducer system comprises a metal/electrolyte interface with an electrical double layer while the electrode/amplifier system exhibits a frequency transfer with interesting properties. Most often, the distortion of the biosignal by this transfer is acceptable; however, in order to justify

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https://doi.org/10.1007/978-3-319-40880-4asic control abilities for heart rate during defined physical load (ergometric load, etc.) can be learned. The nonlinear version of the model is also presented. The parameters obtained from its linear part are independent of the input load.