Login / Signup

Investigation of memory influences on bio-heat responses of skin tissue due to various thermal conditions.

Rakhi TiwariAbhinav SinghalRajneesh KumarPappu KumarSuniti Ghangas
Published in: Theory in biosciences = Theorie in den Biowissenschaften (2023)
Advancement of new technologies such as laser, focused ultrasound, microwave and radio frequency for thermal therapy of skin tissue has increased numerous challenging situations in medical treatment. In this article, a new meticulous bio-heat transfer model based on memory-dependent derivative with dual-phase-lag has been developed under different thermal conditions such as thermal shock and harmonic-type heating. Laplace transform method is acquired to perceive the analytical consequences. Quantitative results are evaluated for displacement, strain and temperature along with stress distributions in time domain by adopting the technique of inverse Laplace transform. Impacts of the constituents of memory-dependent derivatives-kernel functions along with time-delay parameter are analysed on the studied fields (temperature, displacement, strain and stress) for both thermal conditions separately using computational results. It has been found that the insertion of the memory effect proves itself a unified model, and therefore, this model can better predict temperature field data for thermal treatment processes.
Keyphrases
  • working memory
  • healthcare
  • stem cells
  • soft tissue
  • machine learning
  • mesenchymal stem cells
  • stress induced
  • wound healing
  • bone marrow
  • replacement therapy
  • deep learning
  • data analysis
  • solid state
  • water soluble