Measurement and modeling of hand grip strength and endurance of Malaysian female

Gripping is an important physical activity in daily routine. The capability of muscular force during gripping can be evaluated in terms of Hand grip Strength (HGS) and Hand grip Endurance (HGE). There are two types of movements that are associated with HGE which are dynamic or repetitive (HGEd) and...

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Main Author:	Nor Hadzfizah, Mohd Radi
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/13522/ http://umpir.ump.edu.my/id/eprint/13522/ http://umpir.ump.edu.my/id/eprint/13522/1/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI.PDF http://umpir.ump.edu.my/id/eprint/13522/2/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI%20-%20CHAP%201.PDF http://umpir.ump.edu.my/id/eprint/13522/11/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI%20-%20CHAP%203.PDF

id	ump-13522
recordtype	eprints
spelling	ump-135222016-06-24T00:42:06Z http://umpir.ump.edu.my/id/eprint/13522/ Measurement and modeling of hand grip strength and endurance of Malaysian female Nor Hadzfizah, Mohd Radi TK Electrical engineering. Electronics Nuclear engineering Gripping is an important physical activity in daily routine. The capability of muscular force during gripping can be evaluated in terms of Hand grip Strength (HGS) and Hand grip Endurance (HGE). There are two types of movements that are associated with HGE which are dynamic or repetitive (HGEd) and static (HGE5) movements. In the literature, there are many studies which have been performed to investigate the relationship between demographics and hand anthropometric dimensions factors with HGS. These factors have been used as predictive factor for rehabilitation and recovery. However there is lack of studies showing the relationship combined of demographics and hand anthropometric dimensions to HGE which are important factors in hand rehabilitation and recovery. The aim of this project is to develop predictive model of young female HGS and HGE based on the demographic and hand anthropometric collected. Thus, the specific objectives of this study are; (1) to develop a optimal grip size electronic hand grip strength measuring system that records and analyze the HGS and HGE time series signals, (2) to determine the correlation between demographic and hand anthropometric dimensions, and the HGS as well as HGE of young Malaysian female, and (3) to develop an intelligent predictive model of HGS and HGE. There are three assessments in evaluating the HGS, HOEd and HGEs: single- repetition, 20-repetition and 30- seconds static hold. In addition 6 demographics and 9 hand anthropometrics data are recorded from each volunteer in order to investigate the correlation between HGS, HGEd and HGEs and these data. By using all the associated data, the predictive model of HGS, HOEd and HGEs are developed using Adaptive Neuro Fuzzy Inference System (ANFIS) model. In this study 45 females of the age group 18 to 30 years were recruited. The assessment of grip strength and endurance was measured using the fabricated hand grip measuring device and followed the America Society of Hand Therapy (ASHT) protocols of seating to maintain the consistency of each volunteer's measurement. By comparing with similar study performed on western population, the results show that the female HGS in this study is much higher probably due to optimal grip size of the fabricated measuring device. Meanwhile for HGEd and HGEs, these measurements are lower and it is found that the hand dominant was significantly stronger than non-hand dominant for HGS, HGEd and HGEs. In addition the HGS was correlated with weight, Body Mass Index (BMI), hand breadth across thumb, wrist thickness and wrist circumference. Meanwhile HGEd and HGEs were correlated with age and occupation but not correlated with any of the hand anthropometric dimensions. Non-parametric predictive model based on ANFIS is used to develop the predictive HGS and HE model. In developing predictive ANFIS modeling, the input selection was executed and the most significant inputs with respect to HGS, HGEd and HGEs for both hands are obtained. In ANFIS model, there is small discrepancy between actual and predicted average output for training and checking datasets. Nevertheless, this study has shown that ANFIS can be potentially used as an effective predictive model with larger dataset. 2015-01 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13522/1/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI.PDF application/pdf en http://umpir.ump.edu.my/id/eprint/13522/2/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI%20-%20CHAP%201.PDF application/pdf en http://umpir.ump.edu.my/id/eprint/13522/11/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI%20-%20CHAP%203.PDF Nor Hadzfizah, Mohd Radi (2015) Measurement and modeling of hand grip strength and endurance of Malaysian female. Masters thesis, Universiti Putra Malaysia. http://iportal.ump.edu.my/lib/item?id=chamo:92901&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nor Hadzfizah, Mohd Radi Measurement and modeling of hand grip strength and endurance of Malaysian female
description	Gripping is an important physical activity in daily routine. The capability of muscular force during gripping can be evaluated in terms of Hand grip Strength (HGS) and Hand grip Endurance (HGE). There are two types of movements that are associated with HGE which are dynamic or repetitive (HGEd) and static (HGE5) movements. In the literature, there are many studies which have been performed to investigate the relationship between demographics and hand anthropometric dimensions factors with HGS. These factors have been used as predictive factor for rehabilitation and recovery. However there is lack of studies showing the relationship combined of demographics and hand anthropometric dimensions to HGE which are important factors in hand rehabilitation and recovery. The aim of this project is to develop predictive model of young female HGS and HGE based on the demographic and hand anthropometric collected. Thus, the specific objectives of this study are; (1) to develop a optimal grip size electronic hand grip strength measuring system that records and analyze the HGS and HGE time series signals, (2) to determine the correlation between demographic and hand anthropometric dimensions, and the HGS as well as HGE of young Malaysian female, and (3) to develop an intelligent predictive model of HGS and HGE. There are three assessments in evaluating the HGS, HOEd and HGEs: single- repetition, 20-repetition and 30- seconds static hold. In addition 6 demographics and 9 hand anthropometrics data are recorded from each volunteer in order to investigate the correlation between HGS, HGEd and HGEs and these data. By using all the associated data, the predictive model of HGS, HOEd and HGEs are developed using Adaptive Neuro Fuzzy Inference System (ANFIS) model. In this study 45 females of the age group 18 to 30 years were recruited. The assessment of grip strength and endurance was measured using the fabricated hand grip measuring device and followed the America Society of Hand Therapy (ASHT) protocols of seating to maintain the consistency of each volunteer's measurement. By comparing with similar study performed on western population, the results show that the female HGS in this study is much higher probably due to optimal grip size of the fabricated measuring device. Meanwhile for HGEd and HGEs, these measurements are lower and it is found that the hand dominant was significantly stronger than non-hand dominant for HGS, HGEd and HGEs. In addition the HGS was correlated with weight, Body Mass Index (BMI), hand breadth across thumb, wrist thickness and wrist circumference. Meanwhile HGEd and HGEs were correlated with age and occupation but not correlated with any of the hand anthropometric dimensions. Non-parametric predictive model based on ANFIS is used to develop the predictive HGS and HE model. In developing predictive ANFIS modeling, the input selection was executed and the most significant inputs with respect to HGS, HGEd and HGEs for both hands are obtained. In ANFIS model, there is small discrepancy between actual and predicted average output for training and checking datasets. Nevertheless, this study has shown that ANFIS can be potentially used as an effective predictive model with larger dataset.
format	Thesis
author	Nor Hadzfizah, Mohd Radi
author_facet	Nor Hadzfizah, Mohd Radi
author_sort	Nor Hadzfizah, Mohd Radi
title	Measurement and modeling of hand grip strength and endurance of Malaysian female
title_short	Measurement and modeling of hand grip strength and endurance of Malaysian female
title_full	Measurement and modeling of hand grip strength and endurance of Malaysian female
title_fullStr	Measurement and modeling of hand grip strength and endurance of Malaysian female
title_full_unstemmed	Measurement and modeling of hand grip strength and endurance of Malaysian female
title_sort	measurement and modeling of hand grip strength and endurance of malaysian female
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/13522/ http://umpir.ump.edu.my/id/eprint/13522/ http://umpir.ump.edu.my/id/eprint/13522/1/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI.PDF http://umpir.ump.edu.my/id/eprint/13522/2/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI%20-%20CHAP%201.PDF http://umpir.ump.edu.my/id/eprint/13522/11/FKEE%20-%20NOR%20HADZFIZAH%20MOHD%20RADI%20-%20CHAP%203.PDF
first_indexed	2023-09-18T22:16:15Z
last_indexed	2023-09-18T22:16:15Z
_version_	1777415357184606208

Measurement and modeling of hand grip strength and endurance of Malaysian female

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