Nurhidayah Omar
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Nurhidayah Omar
Official Name
Nurhidayah, Omar
Alternative Name
Omar, Nurhidayah
Omar, N.
Main Affiliation
Scopus Author ID
55868013900
Researcher ID
DJC-5796-2022

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  • Publication
    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.
  • Publication
    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.
  • Publication
    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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