Evaluation of limb load asymmetry using two new mathematical models

Senthil N S Kumar, Baharudin Omar, Leonard H. Joseph, Ohnmar Htwe, K. Jagannathan, Nor Hamdan Mohamad Yahaya, D. Rajalakshmi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Quantitative measurement of limb loading is important in orthopedic and neurological rehabilitation. In current practice, mathematical models such as Symmetry index (SI), Symmetry ratio (SR), and Symmetry angle (SA) are used to quantify limb loading asymmetry. Literatures have identified certain limitations with the above mathematical models. Hence this study presents two new mathematical models Modified symmetry index (MSI) and Limb loading error (LLE) that would address these limitations. Furthermore, the current mathematical models were compared against the new model with the goal of achieving a better model. This study uses hypothetical data to simulate an algorithmic preliminary computational measure to perform with all numerical possibilities of even and uneven limb loading that can occur in human legs. Descriptive statistics are used to interpret the limb loading patterns: symmetry, asymmetry and maximum asymmetry. The five mathematical models were similar in analyzing symmetry between limbs. However, for asymmetry and maximum asymmetry data, the SA and SR values do not give any meaningful interpretation, and SI gives an inflated value. The MSI and LLE are direct, easy to interpret and identify the loading patterns with the side of asymmetry. The new models are notable as they quantify the amount and side of asymmetry under different loading patterns.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalGlobal journal of health science
Volume7
Issue number2
DOIs
Publication statusPublished - 1 Mar 2015

Fingerprint

Theoretical Models
Extremities
Orthopedics
Leg

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Evaluation of limb load asymmetry using two new mathematical models. / Kumar, Senthil N S; Omar, Baharudin; Joseph, Leonard H.; Htwe, Ohnmar; Jagannathan, K.; Mohamad Yahaya, Nor Hamdan; Rajalakshmi, D.

In: Global journal of health science, Vol. 7, No. 2, 01.03.2015, p. 1-7.

Research output: Contribution to journalArticle

Kumar, Senthil N S ; Omar, Baharudin ; Joseph, Leonard H. ; Htwe, Ohnmar ; Jagannathan, K. ; Mohamad Yahaya, Nor Hamdan ; Rajalakshmi, D. / Evaluation of limb load asymmetry using two new mathematical models. In: Global journal of health science. 2015 ; Vol. 7, No. 2. pp. 1-7.
@article{5d96774552f84a388717953c95e673d5,
title = "Evaluation of limb load asymmetry using two new mathematical models",
abstract = "Quantitative measurement of limb loading is important in orthopedic and neurological rehabilitation. In current practice, mathematical models such as Symmetry index (SI), Symmetry ratio (SR), and Symmetry angle (SA) are used to quantify limb loading asymmetry. Literatures have identified certain limitations with the above mathematical models. Hence this study presents two new mathematical models Modified symmetry index (MSI) and Limb loading error (LLE) that would address these limitations. Furthermore, the current mathematical models were compared against the new model with the goal of achieving a better model. This study uses hypothetical data to simulate an algorithmic preliminary computational measure to perform with all numerical possibilities of even and uneven limb loading that can occur in human legs. Descriptive statistics are used to interpret the limb loading patterns: symmetry, asymmetry and maximum asymmetry. The five mathematical models were similar in analyzing symmetry between limbs. However, for asymmetry and maximum asymmetry data, the SA and SR values do not give any meaningful interpretation, and SI gives an inflated value. The MSI and LLE are direct, easy to interpret and identify the loading patterns with the side of asymmetry. The new models are notable as they quantify the amount and side of asymmetry under different loading patterns.",
author = "Kumar, {Senthil N S} and Baharudin Omar and Joseph, {Leonard H.} and Ohnmar Htwe and K. Jagannathan and {Mohamad Yahaya}, {Nor Hamdan} and D. Rajalakshmi",
year = "2015",
month = "3",
day = "1",
doi = "10.5539/gjhs.v7n2p1",
language = "English",
volume = "7",
pages = "1--7",
journal = "Global journal of health science",
issn = "1916-9736",
publisher = "Canadian Center of Science and Education",
number = "2",

}

TY - JOUR

T1 - Evaluation of limb load asymmetry using two new mathematical models

AU - Kumar, Senthil N S

AU - Omar, Baharudin

AU - Joseph, Leonard H.

AU - Htwe, Ohnmar

AU - Jagannathan, K.

AU - Mohamad Yahaya, Nor Hamdan

AU - Rajalakshmi, D.

PY - 2015/3/1

Y1 - 2015/3/1

N2 - Quantitative measurement of limb loading is important in orthopedic and neurological rehabilitation. In current practice, mathematical models such as Symmetry index (SI), Symmetry ratio (SR), and Symmetry angle (SA) are used to quantify limb loading asymmetry. Literatures have identified certain limitations with the above mathematical models. Hence this study presents two new mathematical models Modified symmetry index (MSI) and Limb loading error (LLE) that would address these limitations. Furthermore, the current mathematical models were compared against the new model with the goal of achieving a better model. This study uses hypothetical data to simulate an algorithmic preliminary computational measure to perform with all numerical possibilities of even and uneven limb loading that can occur in human legs. Descriptive statistics are used to interpret the limb loading patterns: symmetry, asymmetry and maximum asymmetry. The five mathematical models were similar in analyzing symmetry between limbs. However, for asymmetry and maximum asymmetry data, the SA and SR values do not give any meaningful interpretation, and SI gives an inflated value. The MSI and LLE are direct, easy to interpret and identify the loading patterns with the side of asymmetry. The new models are notable as they quantify the amount and side of asymmetry under different loading patterns.

AB - Quantitative measurement of limb loading is important in orthopedic and neurological rehabilitation. In current practice, mathematical models such as Symmetry index (SI), Symmetry ratio (SR), and Symmetry angle (SA) are used to quantify limb loading asymmetry. Literatures have identified certain limitations with the above mathematical models. Hence this study presents two new mathematical models Modified symmetry index (MSI) and Limb loading error (LLE) that would address these limitations. Furthermore, the current mathematical models were compared against the new model with the goal of achieving a better model. This study uses hypothetical data to simulate an algorithmic preliminary computational measure to perform with all numerical possibilities of even and uneven limb loading that can occur in human legs. Descriptive statistics are used to interpret the limb loading patterns: symmetry, asymmetry and maximum asymmetry. The five mathematical models were similar in analyzing symmetry between limbs. However, for asymmetry and maximum asymmetry data, the SA and SR values do not give any meaningful interpretation, and SI gives an inflated value. The MSI and LLE are direct, easy to interpret and identify the loading patterns with the side of asymmetry. The new models are notable as they quantify the amount and side of asymmetry under different loading patterns.

UR - http://www.scopus.com/inward/record.url?scp=84928283599&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928283599&partnerID=8YFLogxK

U2 - 10.5539/gjhs.v7n2p1

DO - 10.5539/gjhs.v7n2p1

M3 - Article

C2 - 25716372

AN - SCOPUS:84928283599

VL - 7

SP - 1

EP - 7

JO - Global journal of health science

JF - Global journal of health science

SN - 1916-9736

IS - 2

ER -