A physiological and biomechanical investigation of three passive upper-extremity exoskeletons during simulated overhead work

References

• Alabdulkarim, S., and M. A. Nussbaum. 2019. “Influences of Different Exoskeleton Designs and Tool Mass on Physical Demands and Performance in a Simulated Overhead Drilling Task.” Applied Ergonomics 74: 55–66. doi:https://doi.org/10.1016/j.apergo.2018.08.004.
   PubMed Web of Science ®Google Scholar
• ASTM. 2020. F3323-20 Standard Terminology for Exoskeletons and Exosuits. West Conshohocken, PA: ASTM International.
   Google Scholar
• Baláš, J., J. Kodejška, D. Krupková, J. Hannsmann, and S. Fryer. 2018. “Reliability of near-Infrared Spectroscopy for Measuring Intermittent Handgrip Contractions in Sport Climbers.” The Journal of Strength & Conditioning Research 32 (2): 494–501. https://journals.lww.com/nsca-jscr/Fulltext/2018/02000/Reliability_of_Near_Infrared_Spectroscopy_for.24.aspx.
   PubMed Web of Science ®Google Scholar
• Barstow, T. J. 2019. “Understanding Near Infrared Spectroscopy and Its Application to Skeletal Muscle Research.” Journal of Applied Physiology (Bethesda, Md. : 1985) 126 (5): 1360–1376. doi:https://doi.org/10.1152/japplphysiol.00166.2018.
   PubMed Web of Science ®Google Scholar
• Bock, S. D., J. Ghillebert, R. Govaerts, S. A. Elprama, U. Marusic, B. Serrien, A. Jacobs, J. Geeroms, R. Meeusen, and K. D. Pauw. 2021. “Passive Shoulder Exoskeletons: More Effective in the Lab than in the Field?” IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society 29: 173–183. doi:https://doi.org/10.1109/TNSRE.2020.3041906.
   PubMed Web of Science ®Google Scholar
• Boushel, R., H. Langberg, J. Olesen, J. Gonzales-Alonzo, J. Bülow, and M. Kjaer. 2001. “Monitoring Tissue Oxygen Availability with near Infrared Spectroscopy (Nirs) in Health and Disease.” Scandinavian Journal of Medicine & Science in Sports 11 (4): 213–222. doi:https://doi.org/10.1034/j.1600-0838.2001.110404.x.
   PubMed Web of Science ®Google Scholar
• Del Ferraro, S., T. Falcone, A. Ranavolo, and V. Molinaro. 2020. “The Effects of Upper-Body Exoskeletons on Human Metabolic Cost and Thermal Response during Work Tasks—a Systematic Review.” International Journal of Environmental Research and Public Health 17 (20): 7374. doi:https://doi.org/10.3390/ijerph17207374.
   PubMed Web of Science ®Google Scholar
• Dufour, J.S., W.S. Marras, and G.G. Knapik. 2013. “An Emg-Assisted Model Calibration Technique That Does Not Require Mvcs.” Journal of Electromyography and Kinesiology : official Journal of the International Society of Electrophysiological Kinesiology 23 (3): 608–613. doi:https://doi.org/10.1016/j.jelekin.2013.01.013.
   PubMed Web of Science ®Google Scholar
• Ferguson, S.A., W.G. Allread, P. Le, J. Rose, and W.S. Marras. 2013. “Shoulder Muscle Fatigue during Repetitive Tasks as Measured by Electromyography and near-Infrared Spectroscopy.” Human Factors 55 (6): 1077–1087. doi:https://doi.org/10.1177/0018720813482328.
   PubMed Web of Science ®Google Scholar
• Ferrari, M., M. Muthalib, and V. Quaresima. 2011. “The Use of Near-Infrared Spectroscopy in Understanding Skeletal Muscle Physiology: Recent Developments.” Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences 369 (1955): 4577–4590. doi:https://doi.org/10.1098/rsta.2011.0230.
   PubMed Web of Science ®Google Scholar
• Ferrari, M., and V. Quaresima. 2012. “A Brief Review on the History of Human Functional near-Infrared Spectroscopy (fNIRS) Development and Fields of Application.” NeuroImage 63 (2): 921–935. doi:https://doi.org/10.1016/j.neuroimage.2012.03.049.
   PubMed Web of Science ®Google Scholar
• Ferreira, L. F., D. K. Townsend, B. J. Lutjemeier, and T. J. Barstow. 2005. “Muscle Capillary Blood Flow Kinetics Estimated from Pulmonary O2 Uptake and near-Infrared Spectroscopy.” Journal of Applied Physiology 98 (5): 1820–1828. doi:https://doi.org/10.1152/japplphysiol.00907.2004.
   PubMed Web of Science ®Google Scholar
• Gillette, J.C., and M.L. Stephenson. 2019. “Electromyographic Assessment of a Shoulder Support Exoskeleton during on-Site Job Tasks.” IISE Transactions on Occupational Ergonomics and Human Factors 7 (3-4): 302–310. doi:https://doi.org/10.1080/24725838.2019.1665596.
   Web of Science ®Google Scholar
• Grazi, L., E. Trigili, G. Proface, F. Giovacchini, S. Crea, and N. Vitiello. 2020. “Design and Experimental Evaluation of a Semi-Passive Upper-Limb Exoskeleton for Workers with Motorized Tuning of Assistance.” IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society 28 (10): 2276–2285. doi:https://doi.org/10.1109/TNSRE.2020.3014408.
   PubMed Web of Science ®Google Scholar
• Howard, J., V. V. Murashov, B. D. Lowe, and M.-L. Lu. 2020. “Industrial Exoskeletons: Need for Intervention Effectiveness Research.” American Journal of Industrial Medicine 63 (3): 201–208. doi:https://doi.org/10.1002/ajim.23080.
   PubMed Web of Science ®Google Scholar
• Hwang, J., G. G. Knapik, J. S. Dufour, A. Aurand, T. M. Best, S. N. Khan, E. Mendel, and W. S. Marras. 2016a. “A Biologically-Assisted Curved Muscle Model of the Lumbar Spine: Model Structure.” Clinical Biomechanics (Bristol, Avon) 37: 53–59. doi:https://doi.org/10.1016/j.clinbiomech.2016.06.002.
   PubMed Web of Science ®Google Scholar
• Hwang, J., G. G. Knapik, J. S. Dufour, T. M. Best, S. N. Khan, E. Mendel, and W. S. Marras. 2016b. “A Biologically-Assisted Curved Muscle Model of the Lumbar Spine: Model Validation.” Clinical Biomechanics (Bristol, Avon) 37: 153–159. doi:https://doi.org/10.1016/j.clinbiomech.2016.07.009.
   PubMed Web of Science ®Google Scholar
• Iranzo, S., A. Piedrabuena, D. Iordanov, U. Martinez-Iranzo, and J. -M. Belda-Lois. 2020. “Ergonomics Assessment of Passive Upper-Limb Exoskeletons in an Automotive Assembly Plant.” Applied Ergonomics 87: 103120. doi:https://doi.org/10.1016/j.apergo.2020.103120.
   PubMed Web of Science ®Google Scholar
• Jones, B., and C.E. Cooper. 2018. “Near Infrared Spectroscopy (nirs) Observation of Vastus Lateralis (Muscle) and Prefrontal Cortex (Brain) Tissue Oxygenation during Synchronised Swimming Routines in Elite Athletes.” In Oxygen Transport to Tissue xl, edited by O. Thews, J. C. Lamanna, and D. K. Harrison, 111–117. Cham: Springer International Publishing.
   Google Scholar
• Jones, S., S.T. Chiesa, N. Chaturvedi, and A.D. Hughes. 2016. “Recent Developments in Near-Infrared Spectroscopy (NIRS) for the Assessment of Local Skeletal Muscle Microvascular Function and Capacity to Utilise Oxygen .” Artery Research 16: 25–33. doi:https://doi.org/10.1016/j.artres.2016.09.001.
   PubMed Web of Science ®Google Scholar
• Kim, S., M. A. Nussbaum, M. I. Mokhlespour Esfahani, M. M. Alemi, S. Alabdulkarim, and E. Rashedi. 2018a. “Assessing the Influence of a Passive, Upper Extremity Exoskeletal Vest for Tasks Requiring Arm Elevation: Part I – “Expected” Effects on Discomfort, Shoulder Muscle Activity, and Work Task Performance.” Applied Ergonomics 70: 315–322. doi:https://doi.org/10.1016/j.apergo.2018.02.025.
   PubMed Web of Science ®Google Scholar
• Kim, S., M. A. Nussbaum, M. I. Mokhlespour Esfahani, M. M. Alemi, B. Jia, and E. Rashedi. 2018b. “Assessing the Influence of a Passive, Upper Extremity Exoskeletal Vest for Tasks Requiring Arm Elevation: Part II – “Unexpected” Effects on Shoulder Motion, Balance, and Spine Loading.” Applied Ergonomics 70: 323–330. doi:https://doi.org/10.1016/j.apergo.2018.02.024.
   PubMed Web of Science ®Google Scholar
• Leung, T. S., A. Wittekind, T. Binzoni, R. Beneke, C. E. Cooper, and C. E. Elwell. 2010. “Muscle Oxygen Saturation Measured Using “Cyclic Nir Signals” During Exercise.” In Oxygen Transport to Tissue XXXI, edited by E. Takahashi and D. F. Bruley, 183–189. Boston, MA: Springer US.
   Google Scholar
• Marras, W. S., J. Parakkat, A. M. Chany, G. Yang, D. Burr, and S. A. Lavender. 2006. “Spine Loading as a Function of Lift Frequency, Exposure Duration, and Work Experience.” Clinical Biomechanics (Bristol, Avon) 21 (4): 345–352. doi:https://doi.org/10.1016/j.clinbiomech.2005.10.004.
   PubMed Web of Science ®Google Scholar
• Merletti, R. 1999. “Standards for Reporting Emg Data.” Journal of Electromyography and Kinesiology 9 (1): 3–4.
   Google Scholar
• Mirka, G. A., and W. S. Marras. 1993. “A Stochastic Model of Trunk Muscle Coactivation during Trunk Bending.” Spine (Phila Pa 1976) 18 (11): 1396–1409. https://www.ncbi.nlm.nih.gov/pubmed/8235810.
   PubMed Web of Science ®Google Scholar
• Muramatsu, Y., and H. Kobayashi. 2014. “Assessment of Local Muscle Fatigue by Nirs - Development and Evaluation of Muscle Suit.” ROBOMECH Journal 1 (1): 19. doi:https://doi.org/10.1186/s40648-014-0019-2.
   Google Scholar
• Muthalib, M., H. Lee, G. Y. Millet, M. Ferrari, and K. Nosaka. 2010. “Comparison Between Maximal Lengthening and Shortening Contractions for Biceps Brachii Muscle Oxygenation and Hemodynamics.” Journal of Applied Physiology 109 (3): 710–720. doi:https://doi.org/10.1152/japplphysiol.01297.2009.
   PubMed Web of Science ®Google Scholar
• Naito, J., G. Obinata, A. Nakayama, and K. Hase. 2007. “Development of a Wearable Robot for Assisting Carpentry Workers.” International Journal of Advanced Robotic Systems 4 (4): 48. [Accessed 2020/05/13]. doi:https://doi.org/10.5772/5667.
   Google Scholar
• Phinyomark, A., S. Thongpanja, H. Hu, P. Phukpattaranont, and C. Limsakul. 2012. “The Usefulness of Mean and Median Frequencies in Electromyography Analysis.” In Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges, 195–220. Rijeka, Croatia: InTech.
   Google Scholar
• Potvin, J. R., and P. R. O’brien. 1998. “Trunk Muscle co-Contraction Increases During Fatiguing, Isometric, Lateral Bend Exertions. Possible Implications for Spine Stability. Spine (Phila Pa).” Spine 23 (7): 774–780; discussion 781. doi:https://doi.org/10.1097/00007632-199804010-00006.
   PubMed Web of Science ®Google Scholar
• Psek, J. A., and E. Cafarelli. 1993. “Behavior of Coactive Muscles During Fatigue.” Journal of Applied Physiology 74 (1): 170–175. doi:https://doi.org/10.1152/jappl.1993.74.1.170.
   PubMed Web of Science ®Google Scholar
• Rashedi, E., S. Kim, M. A. Nussbaum, and M. J. Agnew. 2014. “Ergonomic Evaluation of a Wearable Assistive Device for Overhead Work.” Ergonomics 57 (12): 1864–1874. doi:https://doi.org/10.1080/00140139.2014.952682.
   PubMed Web of Science ®Google Scholar
• Scano, A., I. Pirovano, M. E. Manunza, L. Spinelli, D. Contini, A. Torricelli, and R. Re. 2020. “Sustained Fatigue Assessment During Isometric Exercises with Time-Domain near Infrared Spectroscopy and Surface Electromyography Signals.” Biomedical Optics Express 11 (12): 7357–7375. doi:https://doi.org/10.1364/BOE.403976.
   PubMed Web of Science ®Google Scholar
• Schmalz, T., J. Schändlinger, M. Schuler, J. Bornmann, B. Schirrmeister, A. Kannenberg, and M. Ernst. 2019. “Biomechanical and Metabolic Effectiveness of an Industrial Exoskeleton for Overhead Work.” International Journal of Environmental Research and Public Health 16 (23): 4792. doi:https://doi.org/10.3390/ijerph16234792.
   PubMed Web of Science ®Google Scholar
• Scholkmann, F., S. Kleiser, A. J. Metz, R. Zimmermann, J. Mata Pavia, U. Wolf, and M. Wolf. 2014. “A Review on Continuous Wave Functional Near-Infrared Spectroscopy and Imaging Instrumentation and Methodology.” NeuroImage 85 Pt 1: 6–27. doi:https://doi.org/10.1016/j.neuroimage.2013.05.004.
   PubMed Web of Science ®Google Scholar
• Suzuki, S., S. Takasaki, T. Ozaki, and Y. Kobayashi. 1999. “Tissue Oxygenation Monitor Using NIR Spatially Resolved Spectroscopy." Proc. SPIE 3597, Optical Tomography and Spectroscopy of Tissue III, (15 July 1999). doi:https://doi.org/10.1117/12.356862.
   Google Scholar
• Sylla, N., V. Bonnet, F. Colledani, and P. Fraisse. 2014. “Ergonomic Contribution of Able Exoskeleton in Automotive Industry.” International Journal of Industrial Ergonomics 44 (4): 475–481. doi:https://doi.org/10.1016/j.ergon.2014.03.008.
   Web of Science ®Google Scholar
• Szucs, K., A. Navalgund, and J.D. Borstad. 2009. “Scapular Muscle Activation and co-Activation following a Fatigue Task.” Medical & Biological Engineering & Computing 47 (5): 487–495. doi:https://doi.org/10.1007/s11517-009-0485-5.
   PubMed Web of Science ®Google Scholar
• Theurel, J., K. Desbrosses, T. Roux, and A. Savescu. 2018. “Physiological Consequences of Using an Upper Limb Exoskeleton During Manual Handling Tasks.” Applied Ergonomics 67: 211–217. doi:https://doi.org/10.1016/j.apergo.2017.10.008.
   PubMed Web of Science ®Google Scholar
• U. S. Bureau of Labor Statistics. 2018. “Back Injuries Prominent in Work-Related Musculoskeletal Disorder Cases in 2016.” The Economics Daily.
   Google Scholar
• Weston, E. B., M. Alizadeh, G. G. Knapik, X. Wang, and W. S. Marras. 2018. “Biomechanical Evaluation of Exoskeleton Use on Loading of the Lumbar Spine.” Applied Ergonomics 68: 101–108. doi:https://doi.org/10.1016/j.apergo.2017.11.006.
   PubMed Web of Science ®Google Scholar
• Xu, X., J. Lin, and R. W. McGorry. 2017. “An Entropy-Assisted Musculoskeletal Shoulder Model.” Journal of Electromyography & Kinesiology 33: 103–110. https://www.sciencedirect.com/science/article/pii/S1050641116301924#b0040
   Google Scholar
• Yang, G., A. M. Chany, J. Parakkat, D. Burr, and W. S. Marras. 2007. “The Effects of Work Experience, Lift Frequency and Exposure Duration on Low Back Muscle Oxygenation.” Clinical Biomechanics (Bristol Avon), 22 (1): 21–27. doi:https://doi.org/10.1016/j.clinbiomech.2006.07.005.
   PubMed Web of Science ®Google Scholar
• Yin, P., L. Yang, S. Qu, and C. Wang. 2020. “Effects of a Passive Upper Extremity Exoskeleton for Overhead Tasks.” Journal of Electromyography and Kinesiology : official Journal of the International Society of Electrophysiological Kinesiology 55: 102478 doi:https://doi.org/10.1016/j.jelekin.2020.102478.
   PubMed Web of Science ®Google Scholar
• Yu, G., T. Durduran, G. Lech, C. Zhou, B. Chance, E. Mohler, and A. Yodh. 2005. “Time-Dependent Blood Flow and Oxygenation in Human Skeletal Muscles Measured with Noninvasive Near-Infrared Diffuse Optical Spectroscopies.” Journal of Biomedical Optics 10 (2): 024027. doi:https://doi.org/10.1117/1.1884603.
   PubMed Web of Science ®Google Scholar