Evaluation of a Passive Robot Arm for Overhead Work: Experimental Approach

International Journal of Mechanical Engineering
© 2022 by SSRG - IJME Journal
Volume 9 Issue 4
Year of Publication : 2022
Authors : Le Toan Thang
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How to Cite?

Le Toan Thang, "Evaluation of a Passive Robot Arm for Overhead Work: Experimental Approach," SSRG International Journal of Mechanical Engineering, vol. 9,  no. 4, pp. 1-10, 2022. Crossref, https://doi.org/10.14445/23488360/IJME-V9I4P101

Abstract:

Overhead work is an important risk factor for upper extremity musculoskeletal disorders. This paper considers the evaluation of a passive robot arm and an exoskeleton as wearable assistive devices for overhead work. The performance evaluation is to be conducted by the electromyography analysis of the arms, shoulders and backs muscles obtained in experiments. 
 

Keywords:

Overhead work, Passive robot arm, Exoskeleton, Payloads, Electromyography

References:

[1] Abhishek Agrawal, and Sunil K. Agrawal, “Design of Gravity Balancing Leg Orthosis using Non-Zero Free Length Springs,” Mechanism and Machine Theory, vol. 40, no. 6, pp. 693-709, 2005.
[CrossRef] [Google Scholar] [Publisher Link]
[2] S.K. Bangla et al., “A Gravity Balancing Leg Orthosis for Robotic Rehabilitation,” IEEE International Conference on Robotics and Automation, vol. 3, pp. 2474-2479, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Ruprecht Altenburger, Daniel Scherly, and Konrad S. Stadler, “Design of a Passive, Iso-Elastic Upper Limb Exoskeleton for Gravity Compensation,” Robomech Journal, vol. 3, no. 12, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Ehsan Rashedi et al., “Ergonomic Evaluation of a Wearable Assistive Device for Overhead Work,” Ergonomics, vol. 57, no. 12, pp. 1864-1874, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Lu Qi, Ortega Carlos, and Ma Ou, “Passive Gravity Compensation Mechanisms Technologies and Applications,” Recent Patents on Engineering, vol. 5, no. 1, pp. 32-44, 2011.
[Google Scholar] [Publisher Link]
[6] Yasuyuki Yamada et al., “Overhead Work Assist with Passive Gravity Compensation Mechanism and Horizontal Link Mechanism for Agriculture,” 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Yaodong Zhang et al., “Research on a New Type of Live Working Robot System for Overhead Transmission Lines,” Journal of Physics: Conference Series, vol. 1074, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Mitsuhiro Tsuzura, Takashi Nakakuki, and Daigomisaki, “A Mechanism Design of Waist Power Assist Suit for a Caregiver using Torsion Springs,” 13th International Conference on Control, Automation and Systems (ICCAS), pp. 20-23, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Alexander Otten, et al., “LIMPACT: A Hydraulically Powered Self-Aligning Upper Limb Exoskeleton,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 5, pp. 2285-2298, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Peter Buckle, and Jason Devereux, “The State of Scientific Knowledge Regarding Work-Related Neck and Upper Limb Musculoskeletal Disorders,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 44, no. 30, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Michiel P. De Looze et al., “Exoskeletons for Industrial Application and their Potential Effects on Physical Workload,” Ergonomics, vol. 59, no. 5, pp. 671-681, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Jason R. Grieve, and Clark R Dickerson, “Overhead Work: Identification of Evidence-Based Exposure Guidelines,” Occupational Ergonomics, vol. 8, no. 1, pp. 53-66, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Leanna M. Horton, Maury A. Nussbaum, and Michael J. Agnew, “Effects of Rotation Frequency and Task Order on Localised Muscle Fatigue and Performance during Repetitive Static Shoulder Exertions,” Ergonomics, vol. 55, no. 10, pp. 1205-1217, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Maury A. Nussbaum et al., “Fatigue and Endurance Limits during Intermittent Overhead Work,” AIHAJ-American Industrial Hygiene association, vol. 62, no. 4, pp. 446-456, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Oberg Tommy, Sandsjo Leif, and Kadefors Roland, “Subjective and Objective Evaluation of Shoulder Muscle Fatigue,” Ergonomics, vol. 37, no. 8, pp. 1323-1333, 1994.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Ying Zhang et al., “A Novel Variable Stiffness Actuator-Based Exoskeleton Device for Home Rehabilitation,” IEEE International Conference on Mechatronics and Automation, pp. 7 – 10, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[17] F. S. Ayachi , S. Boudaoud , and C. Marque, “Evaluation of Muscle force Classification using Shape Analysis of the SEMG Probability Density Function: A Simulation Study,” Medical & Biological Engineering & Computing, vol. 52, pp. 673–684, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Todor I. Arabadzhiev et al., “Influence of Motor Unit Synchronization on Amplitude Characteristics of Surface and Intramuscularly Recorded EMG Signals,” European Journal of Applied Physiology, vol. 108, pp. 227–237, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[19] A. Holtermann et al., “Motor Unit Synchronization During Fatigue: Described with A Novel SEMG Method Based on Large Motor Unit Samples,” Journal of Electromyography and Kinesiology, vol. 19, no. 2, pp. 232–241, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[20] M.S Hussain et al., “Electromyography Signal Analysis using Wavelet Transform and Higher-Order Statistics to Determine Muscle Contraction,” Expert Systems, vol. 26, no. 1, pp. 35-48, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Mario Cifrek et al., “Surface EMG Based Muscle Fatigue Evaluation in Biomechanics,” Clinical Biomechanics, vol. 24, pp. 327–340, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[22] M. B. I. Reaz, M. S. Hussain, and F. Mohd-Yasin, “Techniques of EMG Signal Analysis: Detection, Processing, Classification, and Applications,” Biological Procedures Online, vol. 8, pp. 11-35, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Trent J. Herda et al., “The Influence of Electromyographic Recording Methods and The Innervation Zone on the Mean Power Frequency-Torque Relationships,” Journal of Electromyography and Kinesiology, vol. 25, no. 3, pp. 423-430, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[24] CJ Antti, “Relationship between Time Means of External Load and EMG Amplitude in Long Term Myoelectric Studies,” Electromyography and Clinical Neurophysiology, vol. 17, no. 1, pp. 45, 1977.
[Google Scholar] [Publisher Link]
[25] S. P. Arjunan, Dinesh K. Kumar, and Ganesh Naik, “Computation and Evaluation of Features of Surface Electromyogram to Identify the force of Muscle Contraction and Muscle Fatigue,” Biomed Research International, vol. 2014, 2014.
[CrossRef] [Google Scholar] [Publisher Link]