Advanced Methods of Physiological System Modeling: Volume 2 by Vasilis Z. Marmarelis (auth.), Vasilis Z. Marmarelis (eds.) PDF

By Vasilis Z. Marmarelis (auth.), Vasilis Z. Marmarelis (eds.)

ISBN-10: 1461397898

ISBN-13: 9781461397892

ISBN-10: 146139791X

ISBN-13: 9781461397915

This quantity is the second one in a sequence of guides backed by means of the Biomedical Simulations source (BMSR) on the college of Southern California that document on contemporary examine advancements within the sector of physiological structures modeling and anal­ ysis of physiological indications. As within the first quantity of this sequence, the paintings mentioned herein is anxious with the advance of complex methodologies and their novel software to difficulties of biomedical curiosity, with emphasis on nonlinear points of physiological functionality. The time period "advanced methodologies" is used to point that the scope of this paintings extends past the standard kind of research utilized by so much investigators during this region, that's restrained basically within the linear area. because the im­ portance of nonlinearities in knowing the advanced mechanisms of physiological functionality is more and more famous, the necessity for potent and sensible methodolo­ gies that deal with the difficulty of nonlinear dynamics in lifestyles sciences turns into increasingly more urgent. The e-book of those volumes and the workshops, equipped by means of the BMSR at the comparable topic, are key actions in our efforts to advertise and accentuate learn during this region, foster interplay and collaboration between investigators, and disseminate contemporary effects during the biomedical community.

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Positive feedback decreases the undershoot. 200 NORMALIZED FREQUENCY Fig. 41. 40 FFT magnitudes of the kernels shown in Fig. 40. Positive cubic feedback leads to lower resonance frequency with higher gain. 0 100. TIME lAG Fig. 42. Impulse response function of band-pass linear forward subsystem. 0 100. TIME lAG Fig. 43. 01) with the band-pass forward of Fig. 42, for P = 1 and 4. Note the lower resonance frequency for P = 4. 500E-02 :::! 125 NORMALIZED FREQUENCY Fig. 44. FFT magnitudes of the kernels shown in Fig.

0 100. TIME lAG Fig. 43. 01) with the band-pass forward of Fig. 42, for P = 1 and 4. Note the lower resonance frequency for P = 4. 500E-02 :::! 125 NORMALIZED FREQUENCY Fig. 44. FFT magnitudes of the kernels shown in Fig. 43, demonstrating lower resonance frequency for larger P. O 100. TIME LAG Fig. 45. 42 Impulse response function of band-pass linear forward used in simulations of negative sigmoid feedback system. pass linear forward subsystem, whose impulse response function is shown in Fig. 45, and the sigmoid (negative) feedback shown in Fig.

1963, The use of functionals in the analysis of nonlinear physical systems, J. Electron. Control, 15:567-615. , 1965, The use of Volterra series to find region of stability of a nonlinear differential equation, Int. J. , 1:209-216. Bedrosian, E. , 1971, The output properties of Volterra systems (nonlinear systems with memory) driven by harmonic and Gaussian inputs. Proc. IEEE, 59:1688-1707. , 1970, The identification of polynomial systems by means of higher order spectra, J. Sound and Vibration, 12:301-313.

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Advanced Methods of Physiological System Modeling: Volume 2 by Vasilis Z. Marmarelis (auth.), Vasilis Z. Marmarelis (eds.)


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