Practical Monte Carlo simulation method highlighting on tail probability with application to biomechanics analysis of pressure ulcer

Samuel Susanto Slamet, Kyohei Hatano, Naoki Takano, Tomohisa Nagasao

Research output: Contribution to journalArticle

Abstract

The Monte Carlo method is a well-known method for calculating uncertainty, but it has the disadvantage of high computational cost because it usually requires 10,000 sampling points. In this paper, a practical sampling algorithm named Stepwise Limited Sampling (SLS) is proposed to obtain both accurate expected values and very accurate tail probability values in the Monte Carlo simulation. This method was then applied to a biomechanics problem concerning the risk prediction of pressure ulcers. It is known that the initial damage that leads to a fatal stage of pressure ulcer occurs in deep muscle, but its location has not been clarified. By modeling assumed damage at the bone-muscle interface in the human buttock as a cutout, and by judging whether the damage propagates or not, sets of material properties of muscle and fat in the tail probability that result in high interface shear strain were obtained as a function of body positioning during nursing.

Original languageEnglish
JournalTransactions of the Japan Society for Computational Engineering and Science
Volume2014
Publication statusPublished - 2014

Fingerprint

Biomechanics
Muscle
Sampling
Nursing
Shear strain
Oils and fats
Materials properties
Bone
Monte Carlo methods
Monte Carlo simulation
Costs

Keywords

  • FEM
  • Interface strain
  • Monte Carlo simulation
  • Pressure ulcer
  • Tail probability

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

@article{dffaefc6d60f447e8c911c416c00203f,
title = "Practical Monte Carlo simulation method highlighting on tail probability with application to biomechanics analysis of pressure ulcer",
abstract = "The Monte Carlo method is a well-known method for calculating uncertainty, but it has the disadvantage of high computational cost because it usually requires 10,000 sampling points. In this paper, a practical sampling algorithm named Stepwise Limited Sampling (SLS) is proposed to obtain both accurate expected values and very accurate tail probability values in the Monte Carlo simulation. This method was then applied to a biomechanics problem concerning the risk prediction of pressure ulcers. It is known that the initial damage that leads to a fatal stage of pressure ulcer occurs in deep muscle, but its location has not been clarified. By modeling assumed damage at the bone-muscle interface in the human buttock as a cutout, and by judging whether the damage propagates or not, sets of material properties of muscle and fat in the tail probability that result in high interface shear strain were obtained as a function of body positioning during nursing.",
keywords = "FEM, Interface strain, Monte Carlo simulation, Pressure ulcer, Tail probability",
author = "Slamet, {Samuel Susanto} and Kyohei Hatano and Naoki Takano and Tomohisa Nagasao",
year = "2014",
language = "English",
volume = "2014",
journal = "Transactions of the Japan Society for Computational Engineering and Science",
issn = "1344-9443",
publisher = "Nihon Keisan Kogakkai",

}

TY - JOUR

T1 - Practical Monte Carlo simulation method highlighting on tail probability with application to biomechanics analysis of pressure ulcer

AU - Slamet, Samuel Susanto

AU - Hatano, Kyohei

AU - Takano, Naoki

AU - Nagasao, Tomohisa

PY - 2014

Y1 - 2014

N2 - The Monte Carlo method is a well-known method for calculating uncertainty, but it has the disadvantage of high computational cost because it usually requires 10,000 sampling points. In this paper, a practical sampling algorithm named Stepwise Limited Sampling (SLS) is proposed to obtain both accurate expected values and very accurate tail probability values in the Monte Carlo simulation. This method was then applied to a biomechanics problem concerning the risk prediction of pressure ulcers. It is known that the initial damage that leads to a fatal stage of pressure ulcer occurs in deep muscle, but its location has not been clarified. By modeling assumed damage at the bone-muscle interface in the human buttock as a cutout, and by judging whether the damage propagates or not, sets of material properties of muscle and fat in the tail probability that result in high interface shear strain were obtained as a function of body positioning during nursing.

AB - The Monte Carlo method is a well-known method for calculating uncertainty, but it has the disadvantage of high computational cost because it usually requires 10,000 sampling points. In this paper, a practical sampling algorithm named Stepwise Limited Sampling (SLS) is proposed to obtain both accurate expected values and very accurate tail probability values in the Monte Carlo simulation. This method was then applied to a biomechanics problem concerning the risk prediction of pressure ulcers. It is known that the initial damage that leads to a fatal stage of pressure ulcer occurs in deep muscle, but its location has not been clarified. By modeling assumed damage at the bone-muscle interface in the human buttock as a cutout, and by judging whether the damage propagates or not, sets of material properties of muscle and fat in the tail probability that result in high interface shear strain were obtained as a function of body positioning during nursing.

KW - FEM

KW - Interface strain

KW - Monte Carlo simulation

KW - Pressure ulcer

KW - Tail probability

UR - http://www.scopus.com/inward/record.url?scp=84893705826&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893705826&partnerID=8YFLogxK

M3 - Article

VL - 2014

JO - Transactions of the Japan Society for Computational Engineering and Science

JF - Transactions of the Japan Society for Computational Engineering and Science

SN - 1344-9443

ER -