Objective: To investigate the biodynamics of human-exoskeleton interactions during patient handling tasks using a subject-specific modeling approach.
Background: Exoskeleton technology holds promise for mitigating musculoskeletal disorders caused by manual handling and most alarmingly by patient handling jobs. A deeper, more unified understanding of the biomechanical effects of exoskeleton use calls for advanced subject-specific models of complex, dynamic human-exoskeleton interactions.
Methods: Twelve sex-balanced healthy participants performed three simulated patient handling tasks along with a reference load-lifting task, with and without wearing the exoskeleton, while their full-body motion and ground reaction forces were measured. Subject-specific models were constructed using motion and force data. Biodynamic response variables derived from the models were analyzed to examine the effects of the exoskeleton. Model validation used load-lifting trials with known hand forces.
Results: The use of exoskeleton significantly reduced (19.7%-27.2%) the peak lumbar flexion moment but increased (26.4%-47.8%) the peak lumbar flexion motion, with greater moment percent reduction in more symmetric handling tasks; similarly affected the shoulder joint moments and motions but only during two more symmetric handling tasks; and significantly reduced the peak motions for the rest of the body joints.
Conclusion: Subject-specific biodynamic models simulating exoskeleton-assisted patient handling were constructed and validated, demonstrating that the exoskeleton effectively lessened the peak loading to the lumbar and shoulder joints as prime movers while redistributing more motions to these joints and less to the remaining joints.
Application: The findings offer new insights into biodynamic responses during exoskeleton-assisted patient handling, benefiting the development of more effective, possibly task- and individual-customized, exoskeletons.
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http://dx.doi.org/10.1177/00187208241311271 | DOI Listing |
J Med Internet Res
December 2024
Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, Australia.
Background: Advanced technologies are becoming increasingly accessible in rehabilitation. Current research suggests technology can increase therapy dosage, provide multisensory feedback, and reduce manual handling for clinicians. While more high-quality evidence regarding the effectiveness of rehabilitation technologies is needed, understanding of how to effectively integrate technology into clinical practice is also limited.
View Article and Find Full Text PDFObjective: To investigate the biodynamics of human-exoskeleton interactions during patient handling tasks using a subject-specific modeling approach.
Background: Exoskeleton technology holds promise for mitigating musculoskeletal disorders caused by manual handling and most alarmingly by patient handling jobs. A deeper, more unified understanding of the biomechanical effects of exoskeleton use calls for advanced subject-specific models of complex, dynamic human-exoskeleton interactions.
Alzheimers Dement
December 2024
Florida International University, Miami, FL, USA.
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View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Faculty of Health Sciences, Department of Rehabilitation Science and Health Technology, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Background: As the population ages, more people live longer with multimorbidity. Older people with multimorbidity face diverse needs and medical conditions, increasing the risk of adverse health outcomes, and often experience fragmented healthcare. Research has called for better ways to reach, understand and care for this group to enhance care continuity.
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