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Time of death estimation from temperature readings only: A Laplace transform approach

Journal Article


Abstract


  • © 2014 Elsevier Ltd. All rights reserved. Time of death estimation is a fundamental problem in forensic medicine. A popular estimation method is by body cooling. In this article, we propose a compartment model for body cooling and that includes the well-known Marshall-Hoare model as a particular case. Using the Laplace transform, we give a new method for estimating the time of death from temperature readings only. We present the results of numerical simulations applied to theoretical and experimental data to show the accuracy of the proposed method.

Publication Date


  • 2015

Citation


  • Rodrigo, M. R. (2015). Time of death estimation from temperature readings only: A Laplace transform approach. Applied Mathematics Letters, 39 (January), 47-52.

Scopus Eid


  • 2-s2.0-84907815160

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3482

Number Of Pages


  • 5

Start Page


  • 47

End Page


  • 52

Volume


  • 39

Issue


  • January

Abstract


  • © 2014 Elsevier Ltd. All rights reserved. Time of death estimation is a fundamental problem in forensic medicine. A popular estimation method is by body cooling. In this article, we propose a compartment model for body cooling and that includes the well-known Marshall-Hoare model as a particular case. Using the Laplace transform, we give a new method for estimating the time of death from temperature readings only. We present the results of numerical simulations applied to theoretical and experimental data to show the accuracy of the proposed method.

Publication Date


  • 2015

Citation


  • Rodrigo, M. R. (2015). Time of death estimation from temperature readings only: A Laplace transform approach. Applied Mathematics Letters, 39 (January), 47-52.

Scopus Eid


  • 2-s2.0-84907815160

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3482

Number Of Pages


  • 5

Start Page


  • 47

End Page


  • 52

Volume


  • 39

Issue


  • January