Healthy Clinical Trial
Official title:
Assessing the Efficacy of Passive Exoskeletons for Construction Work: Lab-Based Study
This project aims to assess the effectiveness and acceptability of four types of commercial Back support exoskeletons (BSEs) for concrete work tasks. BSEs are external wearable devices designed to reduce physical demands on the back by providing assistive moments to body joints to support muscles. There is considerable evidence to suggest such exoskeletons reduce the risks of back injuries for workers performing repetitive tasks. However, since the effects of using BSEs in concrete work tasks are still unknown, evidence-based information regarding effectiveness, productivity impact, and safety risks is required to help industries adopt BSEs as an ergonomic intervention.
Status | Not yet recruiting |
Enrollment | 25 |
Est. completion date | January 2021 |
Est. primary completion date | December 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Be at least 18 years old. - Be able to walk and/or lift heavy objects without pain/discomfort. Exclusion Criteria: - Have prior back/neck injuries or chronic pain in the last 6 months. - Have a pacemakers. - Have breast implants. - Have removed the axillary lymph nodes. - Pregnant women. - Using blood thinning medications. - Participants must consult a physician prior to participating this study if any of the following occurred before or during use: Inguinal hernia, hernia, knee injury hip/knee prosthesis, hyperextended knee, recent surgery, skin disease/injury, scars, inflammation, skin reddening. |
Country | Name | City | State |
---|---|---|---|
United States | Smart Life in Motion (SLIM) Lab | Tucson | Arizona |
Lead Sponsor | Collaborator |
---|---|
University of Arizona |
United States,
Alemi MM, Madinei S, Kim S, Srinivasan D, Nussbaum MA. Effects of Two Passive Back-Support Exoskeletons on Muscle Activity, Energy Expenditure, and Subjective Assessments During Repetitive Lifting. Hum Factors. 2020 May;62(3):458-474. doi: 10.1177/0018720819897669. Epub 2020 Feb 4. — View Citation
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Dong, X., Betit, E., Dale, A., Barlet, G., and Wei, G. (2019). Trends of Musculoskeletal Disorders and Interventions in the Construction Industry. Quarterly Data Report by CPWR.
Dong, X., Chowdhury, R., McCann, M., Trahan, C., & Gittle-man, J. S. (2008). The construction chart book: The US construction industry and its workers. In The Center for Construction Research and Training. Silver Spring.
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Lim S, D'Souza C. Inertial Sensor-based Measurement of Thoracic-Pelvic Coordination Predicts Hand-Load Levels in Two-handed Anterior Carry. Proc Hum Factors Ergon Soc Annu Meet. 2018 Sep;62(1):798-799. doi: 10.1177/1541931218621181. Epub 2018 Sep 27. — View Citation
Lim S, D'Souza C. Statistical Prediction of Hand Force Exertion Levels in a Simulated Push Task using Posture Kinematics. Proc Hum Factors Ergon Soc Annu Meet. 2017 Sep;61(1):1031-1035. doi: 10.1177/1541931213601741. Epub 2017 Sep 28. — View Citation
Lim S, D'Souza C. Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics. Appl Ergon. 2019 Apr;76:1-11. doi: 10.1016/j.apergo.2018.11.007. Epub 2018 Nov 29. — View Citation
Lim, S. (2019). Combining Inertial Sensing and Predictive Modeling for Biomechanical Exposure Assessment in Specific Material Handling Work (Doctoral dissertation), University of Michigan, Ann Arbor.
Madinei S, Alemi MM, Kim S, Srinivasan D, Nussbaum MA. Biomechanical Evaluation of Passive Back-Support Exoskeletons in a Precision Manual Assembly Task: "Expected" Effects on Trunk Muscle Activity, Perceived Exertion, and Task Performance. Hum Factors. 2020 May;62(3):441-457. doi: 10.1177/0018720819890966. Epub 2020 Jan 14. — View Citation
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Ngo, B. P., Yazdani, A., Carlan, N., & Wells, R. (2017). Lifting height as the dominant risk factor for low-back pain and loading during manual materials handling: A scoping review. IISE Transactions on Occupational Ergonomics and Human Factors, 5(3-4), 158-171.
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Vera-Garcia FJ, Brown SH, Gray JR, McGill SM. Effects of different levels of torso coactivation on trunk muscular and kinematic responses to posteriorly applied sudden loads. Clin Biomech (Bristol, Avon). 2006 Jun;21(5):443-55. Epub 2006 Jan 27. — View Citation
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Vera-Garcia FJ, Moreside JM, McGill SM. MVC techniques to normalize trunk muscle EMG in healthy women. J Electromyogr Kinesiol. 2010 Feb;20(1):10-6. doi: 10.1016/j.jelekin.2009.03.010. — View Citation
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* Note: There are 21 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Muscle activities while performing simulated construction tasks | Surface electromyography sensors will be placed on the following muscles of participants: Descending Trapezius (TRP), Anterior Deltoid (AD), Iliocostalis Lumborum (ILL), Rectus Abdominis (RA), External Oblique (EO), Cervical Erector Spinae (CES), Latissimus Dorsi (LD), and Vastus Lateralis (VL). Muscle activities while performing tasks represent the physical workload. Maximum Voluntary Contraction (MVC) technique will be used to normalize the muscle activities for comparison. | From admission to discharge, up to 3 hours | |
Primary | Body segment motions in a three-dimensional space measured by two methods | Method 1: Wearable inertial sensors will be attached using hypoallergenic double-sided tape at the low-back near the waist (S1), upper back (T6), sternum, upper arm (R, L), lower arm (R, L), thigh (R, L), and shank (R, L). Body segment motions will be used to calculate relative angles, repetition count, duration of postures, which represent the physical workload of tasks. Method 2: Optical markers will be placed on anatomical landmarks of participants including the head, shoulders, arms, hands, back, pelvis, legs, and feet. The data collected my optical markers are mainly used for calibrating other sensors. |
From admission to discharge, up to 3 hours | |
Secondary | Subjective review of workload level and experience using different exoskeleton | Participants will be asked a set of subjective review questions on a questionnaire with eight sections: The difficulty of tasks: From "Very Difficult" to "Very Easy". "Easier" means a better outcome. Effectiveness: From "Very unhelpful" to "Very helpful". More helpful means a better outcome. Pain/discomfort level: From "Just noticeable" to "Intolerable" for different body locations. Less pain or discomfort means a better outcome. Acceptability: From "Very Uncomfortable" to "Very Comfortable". More comfortable means a better outcome. Fit/wearability by himself: From "Very difficult" to "Very easy". Easier means a better outcome. Preference of using this exoskeleton again and recommending to other people: From "Very unlikely" to "Very likely". More likely means a better outcome. An overall experience by ranking all exoskeletons: Options include 4 exoskeletons and "No exoskeleton". A higher rank means a better outcome. Open-ended interview. |
From admission to discharge, up to 3 hours |
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