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Quirk DA, Chung J, Applegate M, Cherin JM, Dalton DM, Awad LN, Walsh CJ. Evaluating adaptiveness of an active back exosuit for dynamic lifting and maximum range of motion. ERGONOMICS 2024; 67:660-673. [PMID: 37482538 PMCID: PMC10803634 DOI: 10.1080/00140139.2023.2240044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/17/2023] [Indexed: 07/25/2023]
Abstract
Back exosuits deliver mechanical assistance to reduce the risk of back injury, however, minimising restriction is critical for adoption. We developed the adaptive impedance controller to minimise restriction while maintaining assistance by modulating impedance based on the user's movement direction and nonlinear sine curves. The objective of this study was to compare active assistance, delivered by a back exosuit via our adaptive impedance controller, to three levels of assistance from passive elastics. Fifteen participants completed five experimental blocks (4 exosuits and 1 no-suit) consisting of a maximum flexion and a constrained lifting task. While a higher stiffness elastic reduced back extensor muscle activity by 13%, it restricted maximum range of motion (RoM) by 13°. The adaptive impedance approach did not restrict RoM while reducing back extensor muscle activity by 15%, when lifting. This study highlights an adaptive impedance approach might improve usability by circumventing the assistance-restriction trade-off inherent to passive approaches.Practitioner summary: This study demonstrates a soft active exosuit that delivers assistance with an adaptive impedance approach can provide reductions in overall back muscle activity without the impacts of restricted range of motion or perception of restriction and discomfort.
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Affiliation(s)
- D. Adam Quirk
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Jinwon Chung
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Megan Applegate
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Jason M Cherin
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA
| | - Diane M. Dalton
- College of Health & Rehabilitation Sciences: Sargent College, Boston University, Boston, MA
| | - Lou N. Awad
- College of Health & Rehabilitation Sciences: Sargent College, Boston University, Boston, MA
| | - Conor J. Walsh
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
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2
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Shah IA, Mishra S. Artificial intelligence in advancing occupational health and safety: an encapsulation of developments. J Occup Health 2024; 66:uiad017. [PMID: 38334203 PMCID: PMC10878366 DOI: 10.1093/joccuh/uiad017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/29/2023] [Accepted: 12/06/2023] [Indexed: 02/10/2024] Open
Abstract
OBJECTIVES In an era characterized by dynamic technological advancements, the well-being of the workforce remains a cornerstone of progress and sustainability. The evolving industrial landscape in the modern world has had a considerable influence on occupational health and safety (OHS). Ensuring the well-being of workers and creating safe working environments are not only ethical imperatives but also integral to maintaining operational efficiency and productivity. We aim to review the advancements that have taken place with a potential to reshape workplace safety with integration of artificial intelligence (AI)-driven new technologies to prevent occupational diseases and promote safety solutions. METHODS The published literature was identified using scientific databases of Embase, PubMed, and Google scholar including a lower time bound of 1974 to capture chronological advances in occupational disease detection and technological solutions employed in industrial set-ups. RESULTS AI-driven technologies are revolutionizing how organizations approach health and safety, offering predictive insights, real-time monitoring, and risk mitigation strategies that not only minimize accidents and hazards but also pave the way for a more proactive and responsive approach to safeguarding the workforce. CONCLUSION As industries embrace the transformative potential of AI, a new frontier of possibilities emerges for enhancing workplace safety. This synergy between OHS and AI marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces.
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Affiliation(s)
- Immad A Shah
- Division of Health Sciences, ICMR-National Institute of Occupational Health, Ahmedabad, Gujarat, India
| | - SukhDev Mishra
- Department of Biostatistics, Division of Health Sciences, ICMR-National Institute of Occupational Health, Ahmedabad, Gujarat, India
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3
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Ma T, Zhang Y, Choi SD, Xiong S. Modelling for design and evaluation of industrial exoskeletons: A systematic review. APPLIED ERGONOMICS 2023; 113:104100. [PMID: 37490791 DOI: 10.1016/j.apergo.2023.104100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 07/27/2023]
Abstract
Industrial exoskeletons are developed to relieve workers' physical demands in the workplace and to alleviate ergonomic issues associated with work-related musculoskeletal disorders. As a safe and economical alternative to empirical/experimental methods, modelling is considered as a powerful tool for design and evaluation of industrial exoskeletons. This systematic review aims to provide a comprehensive understanding of the current literature on the design and evaluation of industrial exoskeletons through modelling. A systematic study was conducted by general keyword searches of five electronic databases over the last two decades (2003-2022). Out of the 701 records initially retrieved, 33 eligible articles were included and analyzed in the final review, presenting a variety of model inputs, model development, and model outputs used in the modelling. This systematic review study revealed that existing modelling methods can evaluate the biomechanical and physiological effects of industrial exoskeletons and provide some design parameters. However, the modelling method is currently unable to cover some of the main evaluation metrics supported by experimental assessments, such as task performance, user experience/discomfort, change in metabolic costs etc. Standard guidelines for model construction and implementation, as well as validation of human-exoskeleton interactions, remain to be established.
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Affiliation(s)
- Tiejun Ma
- Human Factors and Ergonomics Laboratory, Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea
| | - Yanxin Zhang
- Department of Exercise Sciences, University of Auckland, 4703906, Newmarket, Auckland, New Zealand
| | - Sang D Choi
- Department of Global and Community Health, George Mason University, Fairfax, VA, 22030, USA
| | - Shuping Xiong
- Human Factors and Ergonomics Laboratory, Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea.
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4
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Slaughter PR, Rodzak KM, Fine SJ, Ice CC, Wolf DN, Zelik KE. Evaluation of U.S. Army Soldiers wearing a back exosuit during a field training exercise. WEARABLE TECHNOLOGIES 2023; 4:e20. [PMID: 38487775 PMCID: PMC10936316 DOI: 10.1017/wtc.2023.16] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/07/2023] [Accepted: 05/12/2023] [Indexed: 03/17/2024]
Abstract
Back overuse injuries are a significant problem in the U.S. Army, responsible for nearly a quarter of musculoskeletal injuries. Back exosuits are wearable devices that relieve musculoskeletal strain, make lifting easier, and could potentially reduce Soldier overuse injuries. But published studies have not evaluated exosuits during realistic field operations to assess acceptability to Soldiers. We tested a back exosuit on field artillery Soldiers during a field training exercise. Afterward, Soldiers completed a survey to quantify their satisfaction, intent to use, and performance impact of the exosuit. Feedback was overwhelmingly positive: Approximately 90% of Soldiers reported that exosuits increased their ability to perform their duties, and 100% said that if the exosuit were further developed and made available to them, they would be likely to wear it. These numerical survey results indicated that exosuits can provide a practical and acceptable way to assist lifting and augment physical performance during realistic Army operations without interfering with other duties.
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Affiliation(s)
- P. R. Slaughter
- Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States
| | - K. M. Rodzak
- Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States
| | - S. J. Fine
- Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States
| | - C. C. Ice
- Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States
| | - D. N. Wolf
- Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States
| | - K. E. Zelik
- Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States
- Department of Physical Medicine & Rehabilitation, Vanderbilt University, Nashville, Tennessee, United States
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5
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Wolf DN, Fine SJ, Ice CC, Slaughter PR, Rodzak KM, Zelik KE. Integrating Exosuit Capabilities into Clothing to Make Back Relief Accessible to Workers Unserved by Existing Exoskeletons: Design and Preliminary Evaluation. IISE Trans Occup Ergon Hum Factors 2023; 11:94-107. [PMID: 38149915 DOI: 10.1080/24725838.2023.2295859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/13/2023] [Indexed: 12/28/2023]
Abstract
OCCUPATIONAL APPLICATIONSWe developed a method for integrating back-assist exosuit capabilities into regular clothing to make musculoskeletal relief accessible to more workers. We demonstrated proof-of-concept that this uniform-integrated exosuit can be effective and usable. Existing occupational exosuits are standalone accessories worn on top of a user's clothing and are not suitable for all workers. Our newly developed sub-class of exosuit could be beneficial to workers who alternate between bending, lifting, and sitting tasks, or to those in customer- or patient-facing jobs where it is important for wearable technology to be discreet.
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Affiliation(s)
- Derek N Wolf
- Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Shimra J Fine
- Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Chad C Ice
- Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Paul R Slaughter
- Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
| | | | - Karl E Zelik
- Mechanical Engineering, Biomedical Engineering, Physical Medicine and Rehabilitation, Vanderbilt University, Nashville, TN, USA
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6
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Bhardwaj S, Shinde AB, Singh R, Vashista V. Manipulating device-to-body forces in passive exosuit: An experimental investigation on the effect of moment arm orientation using passive back-assist exosuit emulator. WEARABLE TECHNOLOGIES 2023; 4:e17. [PMID: 38487771 PMCID: PMC10936296 DOI: 10.1017/wtc.2023.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 04/03/2023] [Accepted: 04/28/2023] [Indexed: 03/17/2024]
Abstract
Passive exosuits have been vastly researched in the past decade for lifting tasks to alleviate the mechanical loading on the spine and reduce the lower back muscle activities in lifting tasks. Despite promising advantages of exosuits, factors such as comfort directly influence the user's acceptability of such body-worn devices. Exosuits' routing/anchoring points, which transmit device-to-body forces, remain the leading cause of discomfort among users. In the present study, we sought to investigate the effect of the routing element, that is, the "moment arm," in altering the device-to-body forces and perceived discomfort. We first presented a simplified human-exosuit model to establish insight into the effect of the moment arm on the device-to-body forces acting at the shoulder (FS) and waist (FW). Further, an experimental investigation was conducted on 10 participants with six different exosuit moment arm configurations (C1, C2, C3, C4, C5, and C6) to investigate their effect on the device-to-body forces, perceived discomfort, and muscle activity using a passive back-assist exosuit emulator in a lifting/lowering task. Configuration C4 was found to be most beneficial in reducing device-to-body forces at the shoulder and waist by up to 44.6 and 22.2%, respectively, during lifting. Subjective scores also comprehended with the device-to-body forces, indicating that C4 produces significantly less discomfort for participants. The outcome of the study illustrates the importance of selecting an appropriate moment arm configuration for passive back support exosuits in alleviating the device-to-body forces and perceived discomfort.
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Affiliation(s)
- Siddharth Bhardwaj
- Human-Centered Robotics Lab, Indian Institute of Technology Gandhinagar, Gandhinagar, India
| | - Akshayraj B. Shinde
- Human-Centered Robotics Lab, Indian Institute of Technology Gandhinagar, Gandhinagar, India
| | - Randheer Singh
- Human-Centered Robotics Lab, Indian Institute of Technology Gandhinagar, Gandhinagar, India
| | - Vineet Vashista
- Human-Centered Robotics Lab, Indian Institute of Technology Gandhinagar, Gandhinagar, India
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7
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Shi Y, Dong W, Lin W, Gao Y. Soft Wearable Robots: Development Status and Technical Challenges. SENSORS (BASEL, SWITZERLAND) 2022; 22:7584. [PMID: 36236683 PMCID: PMC9573304 DOI: 10.3390/s22197584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/25/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
In recent years, more and more research has begun to focus on the flexible and lightweight design of wearable robots. During this process, many novel concepts and achievements have been continuously made and shown to the public, while new problems have emerged at the same time, which need to be solved. In this paper, we give an overview of the development status of soft wearable robots for human movement assistance. On the basis of a clear definition, we perform a system classification according to the target assisted joint and attempt to describe the overall prototype design level in related fields. Additionally, it is necessary to sort out the latest research progress of key technologies such as structure, actuation, control and evaluation, thereby analyzing the design ideas and basic characteristics of them. Finally, we discuss the possible application fields, and propose the main challenges of this valuable research direction.
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Ishii C, Hirasawa K. The effect of a movable headrest in shoulder assist device for overhead work. WEARABLE TECHNOLOGIES 2022; 3:e25. [PMID: 38486911 PMCID: PMC10936258 DOI: 10.1017/wtc.2022.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/16/2022] [Accepted: 09/05/2022] [Indexed: 03/17/2024]
Abstract
Recently, many kinds of shoulder-support exoskeletons have been developed and some of them are commercially available. However, to the best of our knowledge, shoulder-support exoskeletons that have neck-support mechanism have not been found. During the overhead work, physical strain is added to not only upper limb and shoulder but also neck of workers since the workers work keeping their face raised. Therefore, in this study, to reduce the physical strain on the neck during the overhead work, a movable headrest that can be attached to the shoulder assist device was developed, which has reclining and slide functions of a head. The main purpose of this article was to evaluate usefulness of the proposed movable headrest. To this end, measurements of electromyogram were carried out under simulating an overhead work activity, and the reduction effect for physical strain of the neck was compared among three types of headrests: (a) slide-type headrest which can slide the head backward and forward, (b) reclining-type headrest which can recline the head, and (c) reclining and slide-type headrest which can recline and slide the head. In addition, usefulness of the shoulder assist device with the proposed headrest was evaluated for a realistic overhead work activity through measurements of muscular stiffness of neck and shoulder. The experimental results showed that the existence of the headrest in the shoulder assist device is effective to reduce the physical strain to the workers, and that (c) reclining and slide-type headrest is the most effective among these three types of headrests.
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Affiliation(s)
- Chiharu Ishii
- Department of Mechanical Engineering, Hosei University, Tokyo, Japan
| | - Kanta Hirasawa
- Department of Mechanical Engineering, Hosei University, Tokyo, Japan
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9
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Rykaczewski K. Thermophysiological aspects of wearable robotics: Challenges and opportunities. Temperature (Austin) 2022; 10:313-325. [PMID: 37554385 PMCID: PMC10405755 DOI: 10.1080/23328940.2022.2113725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 10/15/2022] Open
Abstract
Technological advancements in the last two decades have enabled development of a variety of mechanically supporting wearable robots (i.e. exoskeletons) that are transitioning to practice in medical and industrial settings. The feedback from industry and recent controlled studies is highlighting thermal discomfort as a major reason for the disuse of the devices and a substantial barrier to their long-term adoption. Furthermore, a brief overview of the devices and their intended applications reveals that many of the potential users are likely to face thermal comfort issues because of either high exertion or medically related high heat sensitivity. The aim of this review is to discuss these emerging thermal challenges and opportunities surrounding wearable robots. This review discusses mechanisms, potential solutions, and a platform for systematically measuring heat transfer inhibition caused by wearing of an exoskeleton. Lastly, the potential for substantial metabolic rate reduction provided by exoskeletons to reduce worker thermal strain in warm-to-hot conditions is also considered.
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Affiliation(s)
- Konrad Rykaczewski
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, US
- Julie Ann Wrigley Global Futures Laboratory, Arizona State University, Tempe, AZ, USA
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10
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Zelik KE, Nurse CA, Schall MC, Sesek RF, Marino MC, Gallagher S. An ergonomic assessment tool for evaluating the effect of back exoskeletons on injury risk. APPLIED ERGONOMICS 2022; 99:103619. [PMID: 34740072 PMCID: PMC9827614 DOI: 10.1016/j.apergo.2021.103619] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 09/14/2021] [Accepted: 10/20/2021] [Indexed: 06/01/2023]
Abstract
Low back disorders (LBDs) are a leading injury in the workplace. Back exoskeletons (exos) are wearable assist devices that complement traditional ergonomic controls and reduce LBD risks by alleviating musculoskeletal overexertion. However, there are currently no ergonomic assessment tools to evaluate risk for workers wearing back exos. Exo-LiFFT, an extension of the Lifting Fatigue Failure Tool, is introduced as a means to unify the etiology of LBDs with the biomechanical function of exos. We present multiple examples demonstrating how Exo-LiFFT can assess or predict the effect of exos on LBD risk without costly, time-consuming electromyography studies. For instance, using simulated and real-world material handling data we show an exo providing a 30 Nm lumbar moment is projected to reduce cumulative back damage by ∼70% and LBD risk by ∼20%. Exo-LiFFT provides a practical, efficient ergonomic assessment tool to assist safety professionals exploring back exos as part of a comprehensive occupational health program.
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Affiliation(s)
- Karl E Zelik
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Physical Medicine and Rehabilitation, Vanderbilt University, Nashville, TN, USA; HeroWear, LLC, Nashville, TN, USA.
| | - Cameron A Nurse
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Mark C Schall
- Department of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA
| | - Richard F Sesek
- Department of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA
| | | | - Sean Gallagher
- Department of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA
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11
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Gorsic M, Song Y, Johnson AP, Dai B, Novak D. Simultaneously varying back stiffness and trunk compression in a passive trunk exoskeleton during different activities: A pilot study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:4886-4890. [PMID: 34892304 DOI: 10.1109/embc46164.2021.9630081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Passive trunk exoskeletons support the human body with mechanical elements like springs and trunk compression, allowing them to guide motion and relieve the load on the spine. However, to provide appropriate support, elements of the exoskeleton (e.g., degree of compression) should be intelligently adapted to the current task. As it is not currently clear how adjusting different exoskeleton elements affects the wearer, this study preliminarily examines the effects of simultaneously adjusting both exoskeletal spinal column stiffness and trunk compression in a passive trunk exoskeleton. Six participants performed four dynamic tasks (walking, sit-to-stand, lifting a 20-lb box, lifting a 40-lb box) and experienced unexpected perturbations both without the exoskeleton and in six exoskeleton configurations corresponding to two compression levels and three stiffness levels. While results are preliminary due to the small sample size and relatively small increases in stiffness, they indicate that both compression and stiffness may affect kinematics and electromyography, that the effects may differ between activities, and that there may be interaction effects between stiffness and compression. As the next step, we will conduct a larger study with the same protocol more participants and larger stiffness increases to systematically evaluate the effects of different exoskeleton characteristics on the wearer.Clinical Relevance- Trunk exoskeletons can support wearers during a variety of different tasks, but their configuration may need to be intelligently adjusted to provide appropriate support. This pilot study provides information about the effects of exoskeleton back stiffness and trunk compression on the wearer, which can be used as a basis for more effective device design and usage.
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12
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Goršič M, Song Y, Dai B, Novak D. Evaluation of the HeroWear Apex back-assist exosuit during multiple brief tasks. J Biomech 2021; 126:110620. [PMID: 34293602 PMCID: PMC8453127 DOI: 10.1016/j.jbiomech.2021.110620] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 06/11/2021] [Accepted: 07/05/2021] [Indexed: 11/16/2022]
Abstract
Trunk exoskeletons are wearable devices that support humans during physically demanding tasks by reducing biomechanical loads on the back. While most trunk exoskeletons are rigid devices, more lightweight soft exoskeletons (exosuits) have recently been developed. One such exosuit is the HeroWear Apex, which achieved promising results in the developers' own work but has not been independently evaluated. This paper thus presents an evaluation of the Apex with 20 adult participants during multiple brief tasks: standing up from a stool with a symmetric or asymmetric load, lifting a unilateral or bilateral load from the floor to waist level, lifting the same bilateral load with a 90-degree turn to the right, lowering a bilateral load from waist level to floor, and walking while carrying a bilateral load. The tasks were performed in an ABA-style protocol: first with exosuit assistance disengaged, then with it engaged, then disengaged again. Four measurement types were taken: electromyography (of the erector spinae, rectus abdominis, and middle trapezius), trunk kinematics, self-report ratings, and heart rate. The exosuit decreased the erector spinae electromyogram by about 15% during object lifting and lowering tasks; furthermore, participants found the exosuit mildly to moderately helpful. No adverse effects on other muscles or during non-lifting tasks were noted, and a decrease in middle trapezius electromyogram was observed for one task. This confirms that the HeroWear Apex could reduce muscle demand and fatigue. The results may transfer to other exoskeletons with similar design principles, and may inform researchers working with other wearable devices.
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Affiliation(s)
- Maja Goršič
- Department of Electrical and Computer Engineering, University of Wyoming
| | - Yu Song
- Division of Kinesiology and Health, University of Wyoming
| | - Boyi Dai
- Division of Kinesiology and Health, University of Wyoming
| | - Domen Novak
- Department of Electrical and Computer Engineering, University of Wyoming.
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13
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Crea S, Beckerle P, De Looze M, De Pauw K, Grazi L, Kermavnar T, Masood J, O’Sullivan LW, Pacifico I, Rodriguez-Guerrero C, Vitiello N, Ristić-Durrant D, Veneman J. Occupational exoskeletons: A roadmap toward large-scale adoption. Methodology and challenges of bringing exoskeletons to workplaces. WEARABLE TECHNOLOGIES 2021; 2:e11. [PMID: 38486625 PMCID: PMC10936259 DOI: 10.1017/wtc.2021.11] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 08/03/2021] [Accepted: 08/08/2021] [Indexed: 03/17/2024]
Abstract
The large-scale adoption of occupational exoskeletons (OEs) will only happen if clear evidence of effectiveness of the devices is available. Performing product-specific field validation studies would allow the stakeholders and decision-makers (e.g., employers, ergonomists, health, and safety departments) to assess OEs' effectiveness in their specific work contexts and with experienced workers, who could further provide useful insights on practical issues related to exoskeleton daily use. This paper reviews present-day scientific methods for assessing the effectiveness of OEs in laboratory and field studies, and presents the vision of the authors on a roadmap that could lead to large-scale adoption of this technology. The analysis of the state-of-the-art shows methodological differences between laboratory and field studies. While the former are more extensively reported in scientific papers, they exhibit limited generalizability of the findings to real-world scenarios. On the contrary, field studies are limited in sample sizes and frequently focused only on subjective metrics. We propose a roadmap to promote large-scale knowledge-based adoption of OEs. It details that the analysis of the costs and benefits of this technology should be communicated to all stakeholders to facilitate informed decision making, so that each stakeholder can develop their specific role regarding this innovation. Large-scale field studies can help identify and monitor the possible side-effects related to exoskeleton use in real work situations, as well as provide a comprehensive scientific knowledge base to support the revision of ergonomics risk-assessment methods, safety standards and regulations, and the definition of guidelines and practices for the selection and use of OEs.
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Affiliation(s)
- Simona Crea
- Scuola Superiore Sant’Anna, The BioRobotics Institute, Pontedera, Italy
- IRCCS Fondazione Don Gnocchi, Florence, Italy
| | - Philipp Beckerle
- Chair of Autonomous Systems and Mechatronics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Institute for Mechatronic Systems, Technische Universität Darmstadt, Darmstadt, Germany
| | | | - Kevin De Pauw
- Human Physiology and Sports Physiotherapy Research Group, and Brussels Human Robotics Research Center (BruBotics), Vrije Universiteit Brussel, Brussels, Belgium
| | - Lorenzo Grazi
- Scuola Superiore Sant’Anna, The BioRobotics Institute, Pontedera, Italy
| | - Tjaša Kermavnar
- School of Design, and Confirm Smart Manufacturing Centre, University of Limerick, Limerick, Ireland
| | - Jawad Masood
- Processes and Factory of the Future Department, CTAG – Centro Tecnológico de Automoción de Galicia, Pontevedra, Spain
| | - Leonard W. O’Sullivan
- School of Design, and Confirm Smart Manufacturing Centre, University of Limerick, Limerick, Ireland
| | - Ilaria Pacifico
- Scuola Superiore Sant’Anna, The BioRobotics Institute, Pontedera, Italy
| | - Carlos Rodriguez-Guerrero
- Robotics and Multibody Mechanics Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel and Flanders Make, Brussel, Belgium
| | - Nicola Vitiello
- Scuola Superiore Sant’Anna, The BioRobotics Institute, Pontedera, Italy
- IRCCS Fondazione Don Gnocchi, Florence, Italy
| | | | - Jan Veneman
- Chair of COST Action 16116, Hocoma Medical GmbH, Zürich, Switzerland
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