Mohammad Shahril Salim
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Preferred name
Mohammad Shahril Salim
Official Name
Mohammad Shahril , Salim
Alternative Name
Salim, Mohamad Shahril
Salim, M. S.
Main Affiliation
Scopus Author ID
37108376700
Researcher ID
AAR-1750-2020

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Differences on kinematic, kinetic and muscle activities between MSD and health groups for different body movements: A literature review

2023-02-21 , Isa M.S.M. , Nurhidayah Omar , Ahmad Faizal Salleh , Mohammad Shahril Salim

The aim of this study is to review the differences on kinematic, kinetic and muscle activity parameters between the musculoskeletal disorder (MSD) group and the healthy group in everyday activities. This paper outlines the existing evidence on the differences of the kinematic, kinetic and muscle activities between participants with MSD and healthy participants during several activities. The search included Google-Scholar, Scopus, Elsevier-Science Direct and IEEE Explore, which next were separated into three categories: kinematic, kinetic and muscle activity parameters. Studies that compared movements between individuals with MSD and healthy participants were included. From the search results, we identified a total of 335 articles, 134 articles were selected. However, as this study focused only on participants with MSD, 113 articles were eliminated because those articles included participants who had injuries or diseases. Thus, the articles with non-MSD related were excluded which resulted with only 21 articles for final review. Based on the review, there were differences between MSD group and healthy group on kinematic, kinetic and muscle activity parameters. The MSD group had significantly greater hip and knee joint angles during walking and the average of all muscles in MSD group was higher than the healthy group.

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Statistical analysis in clinical gait analysis using Kinovea between normal and simulated abnormal gaits

2023-02-21 , Rahim S.A. , Hamzah Sakeran , Ahmad Faizal Salleh , Mohammad Shahril Salim , Wan Zuki Azman Wan Muhamad , Shapie M.A.M.

Kinematic analysis of human gait is an effective strategy to detect and assess an individual's gait to diagnose and develop and guide follow-on rehabilitation protocols. So, an accurate, objective gait analysis system has potential to facilitate rehabilitation process. System using smartphone-Kinovea represent an emerging technology for physical activity assessment and that may be relevant for gait analysis. The objective of this study was to determine gait displacement, speed and joint angle by using smartphone-Kinovea software system - to compare the normal gait with four distinct simulated gait abnormalities. Also, to assess validity of the proposed system by compared with QTM as gold standard. 30 participants completed an experiment in which they completed several gait trails on single day. Gait types were analyzed using statistical analysis (two-way MANOVA). As for validation assessment was analyzed using paired t-test by comparing proposed system with QTM. Results shows that joint angles for abnormal gaits are higher mean (Standard Deviation) compared to normal gait during HS and TO. While, normal gait exhibits higher mean (Standard Deviation) for d and s during both IDS and TDS phases compared to other four abnormal gaits in both genders. Also, there are significant different (p<0.05) of gait for all gait comparisons for all parameters, except hip angle of normal-HP with p=0.495. Moreover, there is some gait was similar with other gait due to they shared underlying kinematic aspects such as BA and DP. The validation of the system gives moderate result. These support that the smartphone-Kinovea system have potential in detecting and identifying abnormal gaits, and for future implementation in diagnosis and rehabilitation.

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Splining raw kinematic data of standing-bending-lifting movement

2024-01-05 , Nurhidayah Omar , Isa M.S.M. , Ahmad Faizal Salleh , Mohammad Shahril Salim

Spline functions and digital filtering are two numerical methods normally used by the researchers in the field of biomechanics to perform data smoothing and time differentiation. The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bending-lifting activity using spline function, and to calculate time differentiation from the kinematic data. Raw data on standing-bending-lifting movement was recorded in Biomechanics Lab, UniMAP. Next, quintic spline function was used to smooth the data and calculate the angular velocity and angular acceleration at L5, L3, L1, MAI and T2. When calculated for one trial, the error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.008°, 0.003°, 0.003°, 0.004°, and 0.008°, respectively. When calculating for five trials, the average error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.007°, 0.009°, 0.011°, 0.012°, and 0.012°, respectively. The result shows that the quintic spline is able to produce satisfactory output in data smoothing.

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A Literature Review on Occupational Musculoskeletal Disorder (MSD) Among Industrial Workers in Malaysia

2021-01-01 , Isa M.S.M. , Nurhidayah Omar , Ahmad Faizal Salleh , Mohammad Shahril Salim

Occupational musculoskeletal disorders (MSDs) are quite common among industrial workers. Repetitively lifting, bending, pushing, pulling and standing are the major causes to the occupational diseases. The aim of this study is to investigate the occupational musculoskeletal disorders (MSDs) among industrial workers in Malaysia. Data for this study was collected via Science Direct, Google Scholar, IEEE Explore Digital Library, and Scopus for the analysis to the industrial workers in various Malaysia industries from 2010–2019. The results showed manufacturing industry had the highest MSD cases where 40 manufacturing industries were reported in literature. For the body movements, 59 lifting movements were reported and was the most common movement used by the workers to perform their task which might lead to the injuries of body parts particularly on lower back and shoulder. Appropriate intervention is needed to tackle the MSD issues among the workers.

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Effect of Arm Swing Direction on Forward and Backward Jump Performance Based on Biomechanical Analysis

2021-11-25 , Teoh L.M. , Hamzah Sakeran , Ahmad Faizal Salleh , Mohammad Shahril Salim , Wan Zuki Azman Wan Muhamad , Shapie M.A.M.

Previous studies have examined the role of arm swing for various types of jumping technique, but none have been found to study about the gender differences in term of the role of arm swing on forward and backward jump. This study aimed to compare the jumping performance between male and female for forward and backward jump. Seven male and seven female subjects performed four trials of forward and backward jump with (FJA, BJA) and without arm swing (FJ, BJ) respectively. Qualisys Track Manager System, EEGO Sports, Visual3D and MATLAB software was used to record and analyze the performance. According to the result, the triceps brachii muscle is the most active muscle compared to other muscles during jumping. The normalized vGRF showed significant correlation with jump height when jumping forward and backward (p<0.01). The arm swing enhanced the jumping performance by increasing the jump height. Males demonstrated greater vGRF and jump height than females. When jump with arm swing, the left knee flexion angle of males increased whereas females decreased. These findings concluded there is different between males and females during jumping.

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Effects of Running Surface Stiffness on Three-Segment Foot Kinematics Responses with Different Shod Conditions

2021-01-01 , Noor Arifah Azwani Abdul Yamin , Khairul Salleh Basaruddin , Salleh A.F. , Mohammad Shahril Salim , Wan Zuki Azman Wan Muhamad

Objective. The aim of this study was to investigate the effects of surface stiffness on multisegment foot kinematics and temporal parameters during running. Methods. Eighteen male subjects ran on three different surfaces (i.e., concrete, artificial grass, and rubber) in both heeled running shoes (HS) and minimal running shoes (MS). Both these shoes had dissimilar sole profiles. The heeled shoes had a higher sole at the heel, a thick base, and arch support, whereas the minimal shoes had a flat base sole. Indeed, the studied biomechanical parameters responded differently in the different footwear during running. Subjects ran in recreational mode speed while 3D foot kinematics (i.e., joint rotation and peak medial longitudinal arch (MLA) angle) were determined using a motion capture system (Qualysis, Gothenburg, Sweden). Information on stance time and plantar fascia strain (PFS) was also collected. Results. Running on different surface stiffness was found to significantly affect the peak MLA angles and stance times for both HS and MS conditions. However, the results showed that the joint rotation angles were not sensitive to surface stiffness. Also, PFS showed no relationship with surface stiffness, as the results were varied as the surface stiffness was changed. Conclusion. The surface stiffness significantly contributed towards the effects of peak MLA angle and stance time. These findings may enhance the understanding of biomechanical responses on various running surfaces stiffness in different shoe conditions.

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