MUSCULOSKELETAL DISORDER ANALYSIS-ADVANCED IN MEDICAL TECHNOLOGY: SHORT REVIEW
DOI:
https://doi.org/10.32896/ajmedtech.v1n1.46-59Keywords:
Musculoskeletal Disorders (MDSs), Method Analysis, Lower Back Pain (LBD), Upper Limb Disorders (ULDs), Lower Limb Disorders (LLDs)Abstract
Musculoskeletal disorders (MSDs) are widespread through the world and are the second most common cause of disability in work setting. There are many method used to analyse MSDs to know the reality situation and affacted to the employess The review is to compare in terms of design, methodology, approach and identify the equipment and method used from the previous researchers that have many advantages dan disadvantage of the method to come out the best suggestion of equipment and method proper to used and improvement that should be do for the future researchers. The relevant literature was obtained from the following strategy. Kerwords were idenfied after a scoping study into the some types of MSDs analysis by focusing on the equipment and method. A number of articles between 2010-2021 were extracted from Google Scholar database using keywords of “musculoskeletal disorders analysis”, “ergonomics analysis” and “ MSD identification”. The study found that most of the method in MSD more focus on the Questionnare as the Method of data in analysis for MSD. However, it is more to after injuries of MSDs happened, but not focusing on method to avoid the MSD form happed. Thus, this paper provide the suggestion preventive strategies for the futures researcher to go futher in MSD to tackle the improvement before real MSDs happedned.
References
V. V. and M. Y. M. D. Mohd Zubairy Shamsudin et al., “Work-related Musculoskeletal Disorders (WMSDs) among Industrial Packaging Workers in Malaysia,” Malaysian J. Hum. Factors Ergon., vol. 2, no. 1, pp. 17–24, 2017.
A. M. Shrestha, S., Pradhananga, N. and Sadri, “Understanding the Role of Social Influence on Construction Safety Using an Ego-Centric Network Approach,” in Safety, Workforce, and Education, 2020, pp. 481–489.
E. F. Shair, S. A. Ahmad, M. H. Marhaban, S. B. M. Tamrin, and A. R. Abdullah, “EMG Processing Based Measures of Fatigue Assessment during Manual Lifting,” Hindawi, vol. 2017, pp. 1–12, 2017.
M. N. A. R. Nur A’ Tifah Jaffar, “Review on risk factors related to lower back disorders at workplace Review on risk factors related to lower back disorders at workplace,” in IOP Conference Series: Materials Science and Engineering PAPER, 2017, pp. 1–9.
T. Rice et al., “Revisiting out-of-pocket requirements: Trends in spending, financial access barriers, and policy in ten high-income countries,” BMC Health Serv. Res., vol. 18, no. 1, pp. 1–18, 2018.
H. Daneshmandi, A. R. Choobineh, H. Ghaem, M. Alhamd, and A. Fakherpour, “The effect of musculoskeletal problems on fatigue and productivity of office personnel: A cross-sectional study,” J. Prev. Med. Hyg., vol. 58, no. 3, pp. E252–E258, 2017.
V. V. and M. Y. M. D. Mohd Zubairy Shamsudin, “Work-related Musculoskeletal Diorders (WMSDs) Among Industrial Packaging Workers in Malaysia,” Malaysian J. Hum. Factors Ergon., vol. 2, no. 1, pp. 17 – 24, 2017.
A. R. A. Hamid et al., “Causes of fatal construction accidents in Malaysia,” in IOP Conference Series: Earth and Environmental Science, 2019, vol. 220, no. 1, pp. 1–14.
W. Poppendieck, M. Wegmann, and A. Ferrauti, “Massage and Performance Recovery : A Meta-Analytical Review,” Sport. Med., vol. 46, no. 2, pp. 183–204, 2016.
M. M. Cremasco, A. Giustetto, F. Caffaro, A. Colantoni, E. Cavallo, and S. Grigolato, “Risk assessment for musculoskeletal disorders in forestry: A comparison between RULA and REBA in the manual feeding of a wood-chipper,” Int. J. Environ. Res. Public Health, vol. 16, no. 5, 2019.
A. R. Abdullah et al., “An Improved Features of Health Screening Test System for Malaysian Social Security Organisation (SOCSO) Programme,” Indones. J. Electr. Eng. Comput. Sci., vol. 6, no. 2, pp. 473–481, 2017, doi: 10.11591/ijeecs.v6.i2.pp473-481.
A. Nowadays, “Status of Musculoskeletal Pains and Disorders among Computer Users,” vol. 3, no. 3, pp. 83–86, 2018.
A. G. Patiño, M. Khoshnam, and C. Menon, “Wearable device to monitor back movements using an inductive textile sensor,” Sensors (Switzerland), vol. 20, no. 905, pp. 1–17, 2020.
J. Hartvigsen et al., “What low back pain is and why we need to pay attention,” Lancet, vol. 391, no. 10137, pp. 2356–2367, 2018.
R. Buchbinder et al., “Low back pain: a call for action,” Lancet, vol. 391, no. 10137, pp. 2384–2388, 2018.
S. Leifer, S. W. Choi, K. Asanati, and S. M. Yentis, “Upper limb disorders in anaesthetists – a survey of Association of Anaesthetists members,” Anaesthesia, vol. 74, no. 3, pp. 285–291, 2019.
D. Starovoytova, “Hazards and Risks at Rotary Screen Printing ( Part 2 / 6 ): Analysis of Machine-operators’ Posture via Rapid-Upper-Limb-Assessment (RULA),” Ind. Eng. Lett., vol. 7, no. 5, pp. 42–63, 2017.
M. G. Garcia, M. Graf, and T. Läubli, “Lower limb pain among workers: a cross-sectional analysis of the fifth European Working Conditions Survey,” Int. Arch. Occup. Environ. Health, vol. 90, no. 7, pp. 575–585, 2017.
S. Sen and A. D. Singh, “Electromyographic Analysis of Upper Trapezius Muscle and Development of MSD in Collegiate Students Carrying Laptop Bag,” Am. J. Sport. Sci., vol. 4, no. 6, pp. 120–124, 2016.
Y. M. Ng, P. Voo, and I. Maakip, “Psychosocial factors, depression, and musculoskeletal disorders among teachers,” BMC Public Health, vol. 19, no. 1, pp. 1–10, 2019.
B. T. Fenton, J. L. Goulet, M. J. Bair, T. Cowley, and R. D. Kerns, “Relationships between temporomandibular disorders, msd conditions, and mental health comorbidities: Findings from the veterans musculoskeletal disorders cohort,” Pain Med. (United States), vol. 19, pp. S61–S68, 2018.
C. Students, C. Laptop, S. Sen, and A. D. Singh, “Electromyographic Analysis of Upper Trapezius Muscle and Development of Electromyographic Analysis of Upper Trapezius Muscle and Development of MSD in Collegiate Students Carrying Laptop Bag,” no. August, 2018, doi: 10.11648/j.ajss.20160406.14.
P. Hosseini-Koukamari, M. Ghaffari, S. Tavafiyan, and A. Ramezankhani, “Using Theoretical Domains Framework for Exploring Appropriate Sitting Posture Determinants Among Office Workers: A Content Analysis Study,” Heal. Scope, vol. 10, no. 1, 2021.
T. Nor, S. Tengku, A. R. Abdullah, E. F. Shair, and N. M. Saad, “Classification of EMG Signal for Health Screening Task for Musculoskeletal Classification of EMG Signal for Health Screening Task for Musculoskeletal Disorder,” Int. J. Eng. Technol., vol. 8, no. 1.7, pp. 219–226, 2019.
D. M. Ghosh and R. Swaminathan, “Generalised Warblet transform-based analysis of biceps brachii muscles contraction using surface electromyography signals,” Int. J. Biomed. Eng. Technol., vol. 34, no. 4, pp. 305–318, 2020.
H. S. Bedi, N. J. Moon, V. Bhatia, G. K. Sidhu, and N. Khan, “Evaluation of musculoskeletal disorders in dentists and application of DMAIC technique to improve the ergonomics at dental clinics and meta-analysis of literature,” J. Clin. Diagnostic Res., vol. 9, no. 6, pp. ZC01–ZC03, 2015.
M. R. Khan and N. K. Singh, “Prevalence of musculoskeletal disorders among Indian railway sahayaks,” Int. J. Occup. Environ. Health, vol. 24, no. 1–2, pp. 27–37, 2018.
A. Mokdad, S. M. El Amine Debbal, and F. Meziani, “Application of the continuous wavelet transform for the analysis of pathological severity degree of electromyograms (EMGs) signals,” Polish J. Med. Phys. Eng., vol. 26, no. 3, pp. 149–154, 2020, doi: 10.2478/pjmpe-2020-0017.
M. C. Gutierrez-Diez, M. A. Benito-Gonzalez, R. Sancibrian, M. A. Gandarillas-Gonzalez, C. Redondo-Figuero, and J. C. Manuel-Palazuelos, “A study of the prevalence of musculoskeletal disorders in surgeons performing minimally invasive surgery,” Int. J. Occup. Saf. Ergon., vol. 24, no. 1, pp. 111–117, 2018.
B. Wiitavaara and M. Heiden, “Content and psychometric evaluations of questionnaires for assessing physical function in people with neck disorders: a systematic review of the literature,” Disabil. Rehabil., vol. 40, no. 19, pp. 2227–2235, 2018, doi: 10.1080/09638288.2017.1334096.
R. C. M. David J. Magee, Orthopedic Physical Assessment - E-Book. 2021.
E. Abdek-Moty et al., “Functional Capacity and Residual Functional Capacity and Their Utility in Measuring Work Capacity. The Clinical Journal of Pain, 9(3), 168–1.pdf,” Clin. J. Pain, vol. 9, no. 3, pp. 168–172, 1993.
E. F. Shair, “Core Lifting Task Assessment Using Time-Frequency,” 2019.
J. T. Herbert, Y. Zhai, and W. Coduti, “Employment Among Rehabilitation Counselors,” J. Rehabil., vol. 86, no. 1, pp. 32–40, 2020.
U. Sahin, “Pattern Recognition with surface EMG Signal based Wavelet Transformation,” pp. 295–300, 2012.
O. W. Samuel et al., “Pattern recognition of electromyography signals based on novel time domain features for amputees’ limb motion classification,” Comput. Electr. Eng., vol. 67, pp. 646–655, 2018.
T. Ghosh, “Assessment of Postural effect on Work Related Musculoskeletal Disorders and Back Muscle Fatigue among the Goldsmiths of India Abstract :,” Int. J. Occup. Saf. Heal., vol. 5, no. 2, pp. 16–22, 2015.
J. Too, A. R. Abdullah, N. M. Saad, N. M. Ali, and H. Musa, “A Detail Study of Wavelet Families for EMG Pattern Recognition,” Int. J. Electr. Comput. Eng., vol. 8, no. 6, p. 4221, 2018, doi: 10.11591/ijece.v8i6.pp4221-4229.
J. Kilby, K. Prasad, and G. Mawston, “Multi-channel surface electromyography electrodes: A review,” IEEE Sens. J., vol. 16, no. 14, pp. 5510–5519, 2016.
A. K. Mukhopadhyay and S. Samui, “An experimental study on upper limb position invariant EMG signal classification based on deep neural network,” Biomed. Signal Process. Control, vol. 55, p. 101669, 2020.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
