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- W3023846771 abstract "Abstract To develop suitable pain management policies and drug delivery assist devices for analgesia (i.e., pain alleviation), it is necessary to have a good comprehension of the processes involved at nociceptor level throughout pain pathways to perception. Few devices measuring pain noninvasively are nowadays available, but mathematical models based on physiological phenomena are not yet mature. In particular, this chapter discusses such physiological processes and proposes a mathematical model, which captures the essential dynamics of these complex processes. Recent work points to the fact that pain can be characterized by several dynamic stages, including anomalous diffusion and spatial-temporal dependency on tissue characteristics. This work uses physiological information and provides a mathematical framework for those biological processes involved, which leads naturally to a time-frequency domain representation of lumped fractional-order impedance models. The main difference with previous studies is the explicit incorporation of fractional calculus tools as a natural way to characterize biological phenomena. The mathematical representation of nociception and pain perception is derived by electrical analogues. Further use of this model aims for detecting changes in model parameters when analgesic drugs are present and can serve to completing the cyber-medical system paradigm for analgesia regulation." @default.
- W3023846771 created "2020-05-13" @default.
- W3023846771 creator A5040894926 @default.
- W3023846771 date "2020-01-01" @default.
- W3023846771 modified "2023-09-27" @default.
- W3023846771 title "A multiscale pathway paradigm for pain characterization" @default.
- W3023846771 doi "https://doi.org/10.1016/b978-0-12-815975-0.00009-6" @default.
- W3023846771 hasPublicationYear "2020" @default.
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