Skip to main content
Log in

Analysing the effect of wearable lift-assist vest in squat lifting task using back muscle EMG data and musculoskeletal model

  • Scientific Paper
  • Published:
Physical and Engineering Sciences in Medicine Aims and scope Submit manuscript

Abstract

The most common disorders of the musculoskeletal system are low back disorders. They cause significant direct and indirect costs to different societies especially in lifting occupations. To reduce the risk of low back disorders, mechanical lifting aids have been used to decrease low back muscle forces. But there are very few direct ways to calculate muscle forces and examine the effect of personal lift-assist devices, so biomechanical models ought to be used to examine the quality of these devices for assisting back muscles in lifting tasks. The purpose of this study is to examine the effect of a designed wearable lift-assist vest (WLAV) in the reduction of erector spinae muscle forces during symmetric squat lifting tasks. Two techniques of muscle calculation were used, the electromyography-based method and the optimization-based model. The first uses electromyography data of erector spinae muscles and its linear relationship with muscle force to estimate their forces, and the second uses a developed musculoskeletal model to calculate back muscle forces using an optimization-based method. The results show that these techniques reduce the average value of erector spinae muscle forces by 45.38 (± 4.80) % and 42.03 (± 8.24) % respectively. Also, both methods indicated approximately the same behaviour in changing muscle forces during 10 to 60 degrees of trunk flexion using WLAV. The use of WLAV can help to reduce the activity of low back muscles in lifting tasks by transferring the external load effect to the assistive spring system utilized in it, so this device may help people lift for longer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Frymoyer J, Cats-Baril W (1991) An overview of the incidences and costs of low back pain. Orthoped Clin N Am 22(2):263–271

    CAS  Google Scholar 

  2. Katz JN (2006) Lumbar disc disorders and low-back pain: socioeconomic factors and consequences. JBJS 88(2):21–24

    Google Scholar 

  3. Hoogendoorn W, Bongers P, De Vet H, Ariens G, Van Mechelen W, Bouter L (2002) High physical work load and low job satisfaction increase the risk of sickness absence due to low back pain: results of a prospective cohort study. Occup Environ Med 59(5):323–328

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Parreira P, Maher CG, Steffens D, Hancock MJ, Ferreira ML (2018) Risk factors for low back pain and sciatica: an umbrella review. Spine J 18(9):1715–1721

    PubMed  Google Scholar 

  5. Shirazi-Adl A, Ahmed A, Shrivastava S (1986) A finite element study of a lumbar motion segment subjected to pure sagittal plane moments. J Biomech 19(4):331–350

    CAS  PubMed  Google Scholar 

  6. Eskandari A, Arjmand N, Shirazi-Adl A, Farahmand F (2019) Hypersensitivity of trunk biomechanical model predictions to errors in image-based kinematics when using fully displacement-control techniques. J Biomech 84:161–171

    CAS  PubMed  Google Scholar 

  7. Ghezelbash F, Arjmand N, Shirazi-Adl A (2015) Effect of intervertebral translational flexibilities on estimations of trunk muscle forces, kinematics, loads, and stability. Comput Methods Biomech Biomed Engi 18(16):1760–1767

    Google Scholar 

  8. Hajihosseinali M, Arjmand N, Shirazi-Adl A, Farahmand F, Ghiasi M (2014) A novel stability and kinematics-driven trunk biomechanical model to estimate muscle and spinal forces. Med Eng Phys 36(10):1296–1304

    CAS  PubMed  Google Scholar 

  9. Zeinali-Davarani S, Hemami H, Barin K, Shirazi-Adl A, Parnianpour M (2008) Dynamic stability of spine using stability-based optimization and muscle spindle reflex. IEEE Trans Neural Syst Rehabil Eng 16(1):106–118

    PubMed  Google Scholar 

  10. Beaudette SM, Graham RB, Brown SH (2014) The effect of unstable loading versus unstable support conditions on spine rotational stiffness and spine stability during repetitive lifting. J Biomech 47(2):491–496

    PubMed  Google Scholar 

  11. Plamondon A, Larivière C, Denis D, Mecheri H, Nastasia I (2017) Difference between male and female workers lifting the same relative load when palletizing boxes. Appl Ergon 60:93–102

    CAS  PubMed  Google Scholar 

  12. Sheppard PS, Stevenson J, Graham R (2016) Sex-based differences in lifting technique under increasing load conditions: a principal component analysis. Appl Ergon 54:186–195

    CAS  PubMed  Google Scholar 

  13. Beach TA, Stankovic T, Carnegie DR, Micay R, Frost DM (2018) Using verbal instructions to influence lifting mechanics: does the directive “lift with your legs, not your back” attenuate spinal flexion? J Electromyogr Kinesiol 38:1–6

    PubMed  Google Scholar 

  14. Graham RB, Agnew MJ, Stevenson JM (2009) Effectiveness of an on-body lifting aid at reducing low back physical demands during an automotive assembly task: assessment of EMG response and user acceptability. Appl Ergon 40(5):936–942

    PubMed  Google Scholar 

  15. Graham RB, Sadler EM, Stevenson JM (2011) Does the personal lift-assist device affect the local dynamic stability of the spine during lifting? J Biomech 44(3):461–466

    PubMed  Google Scholar 

  16. Edlich R, Winters KL, Hudson MA, Britt L, Long WB III (2004) Prevention of disabling back injuries in nurses by the use of mechanical patient lift systems. J Long-Term Effects Med Implants 14(6):541

    Google Scholar 

  17. Li J, Wolf L, Evanoff B (2004) Use of mechanical patient lifts decreased musculoskeletal symptoms and injuries among health care workers. Injury Prevent 10(4):212–216

    CAS  Google Scholar 

  18. Lotz CA, Agnew MJ, Godwin AA, Stevenson JM (2009) The effect of an on-body personal lift assist device (PLAD) on fatigue during a repetitive lifting task. J Electromyogr Kinesiol 19(2):331–340

    PubMed  Google Scholar 

  19. Abdoli-e M, Stevenson JM (2008) The effect of on-body lift assistive device on the lumbar 3D dynamic moments and EMG during asymmetric freestyle lifting. Clin Biomech 23(3):372–380

    Google Scholar 

  20. Frost DM, Abdoli-E M, Stevenson JM (2009) PLAD (personal lift assistive device) stiffness affects the lumbar flexion/extension moment and the posterior chain EMG during symmetrical lifting tasks. J Electromyogr Kinesiol 19(6):e403–e412

    PubMed  Google Scholar 

  21. Smallman CL, Graham RB, Stevenson JM (2013) The effect of an on-body assistive device on transverse plane trunk coordination during a load carriage task. J Biomech 46(15):2688–2694

    PubMed  Google Scholar 

  22. Weston EB, Alizadeh M, Knapik GG, Wang X, Marras WS (2018) Biomechanical evaluation of exoskeleton use on loading of the lumbar spine. Appl Ergon 68:101–108

    PubMed  Google Scholar 

  23. Poor MG, Bahraseman HG, Pouranbarani E, Sarang R, Shafieian M, Leilnahari K (2017) A comparative study in cervical muscle activities during various resting postures using electromyography. Am J Biomed Sci. https://doi.org/10.5099/aj170300139

    Google Scholar 

  24. Lima M, Ferreira AS, Reis FJJ, Paes V, Meziat-Filho N (2018) Chronic low back pain and back muscle activity during functional tasks. Gait Post 61:250–256

    Google Scholar 

  25. Dolan P, Adams M (1993) The relationship between EMG activity and extensor moment generation in the erector spinae muscles during bending and lifting activities. J Biomech 26(4–5):513–522

    CAS  PubMed  Google Scholar 

  26. Shamsi M, Sarrafzadeh J, Jamshidi A, Arjmand N, Ghezelbash F (2017) Comparison of spinal stability following motor control and general exercises in nonspecific chronic low back pain patients. Clin Biomech 48:42–48

    Google Scholar 

  27. Brown SH, Potvin JR (2005) Constraining spine stability levels in an optimization model leads to the prediction of trunk muscle cocontraction and improved spine compression force estimates. J Biomech 38(4):745–754

    PubMed  Google Scholar 

  28. Kamal Z, Rouhi G, Arjmand N, Adeeb S (2019) A stability-based model of a growing spine with adolescent idiopathic scoliosis: a combination of musculoskeletal and finite element approaches. Med Eng Phys 64:46–55

    PubMed  Google Scholar 

  29. Marras WS, Granata KP (1997) The development of an EMG-assisted model to assess spine loading during whole-body free-dynamic lifting. J Electromyogr Kinesiol 7(4):259–268

    PubMed  Google Scholar 

  30. Gagnon D, Arjmand N, Plamondon A, Shirazi-Adl A, Larivière C (2011) An improved multi-joint EMG-assisted optimization approach to estimate joint and muscle forces in a musculoskeletal model of the lumbar spine. J Biomech 44(8):1521–1529

    PubMed  Google Scholar 

  31. Ning X, Jin S, Mirka GA (2012) Describing the active region boundary of EMG-assisted biomechanical models of the low back. Clin Biomech 27(5):422–427

    Google Scholar 

  32. Vigouroux L, Quaine F, Labarre-Vila A, Amarantini D, Moutet F (2007) Using EMG data to constrain optimization procedure improves finger tendon tension estimations during static fingertip force production. J Biomech 40(13):2846–2856

    PubMed  Google Scholar 

  33. Ghalebeigipoor M, Ataee G, Bahrpeyma F, Fatouraee N (2014) Development and evaluation of a new weight lifting aid vest. Mod Rehabilit 7(4):01224

    Google Scholar 

  34. Mohammadi Y, Arjmand N, Shirazi-Adl A (2015) Comparison of trunk muscle forces, spinal loads and stability estimated by one stability-and three EMG-assisted optimization approaches. Med Eng Phys 37(8):792–800

    PubMed  Google Scholar 

  35. Cholewicki J, van Dieën J, Lee AS, Reeves NP (2011) A comparison of a maximum exertion method and a model-based, sub-maximum exertion method for normalizing trunk EMG. J Electromyogr Kinesiol 21(5):767–773

    PubMed  PubMed Central  Google Scholar 

  36. Dufour JS, Marras WS, Knapik GG (2013) An EMG-assisted model calibration technique that does not require MVCs. J Electromyogr Kinesiol 23(3):608–613

    PubMed  Google Scholar 

  37. Samadi S, Arjmand N (2018) A novel stability-based EMG-assisted optimization method for the spine. Med Eng Phys 58:13–22

    Google Scholar 

  38. Shirazi-Adl A (2006) Analysis of large compression loads on lumbar spine in flexion and in torsion using a novel wrapping element. J Biomech 39(2):267–275

    CAS  PubMed  Google Scholar 

  39. Zhang H, Kadrolkar A, Sup FC (2016) Design and preliminary evaluation of a passive spine exoskeleton. J Med Dev 10(1):11002

    Google Scholar 

  40. Yin P, Yang L, Wang C, Qu S (2019) Effects of wearable power assist device on low back fatigue during repetitive lifting tasks. Clin Biomech 70:59–65

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nasser Fatouraee.

Ethics declarations

Conflict of interest

Gholam Reza Ataei declares that he has no conflict of interest. Rasoul Abedi declares that he has no conflict of interest. Yousef Mohammadi declares that he has no conflict of interest. Nasser Fatouraee declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with animals performed by any of the authors. All procedures performed in this study involving human participant is in accordance with the ethical standards of research committee of the Islamic Azad University, Science and Research Branch, Tehran, Iran.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ataei, G., Abedi, R., Mohammadi, Y. et al. Analysing the effect of wearable lift-assist vest in squat lifting task using back muscle EMG data and musculoskeletal model. Phys Eng Sci Med 43, 651–658 (2020). https://doi.org/10.1007/s13246-020-00872-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13246-020-00872-5

Keywords

Navigation