Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Michael Zabala"'
Publikováno v:
Sensors, Vol 24, Iss 11, p 3657 (2024)
The use of wearable sensors, such as inertial measurement units (IMUs), and machine learning for human intent recognition in health-related areas has grown considerably. However, there is limited research exploring how IMU quantity and placement affe
Externí odkaz:
https://doaj.org/article/1bc1763872b547d084d59af4252224a7
Publikováno v:
Sensors, Vol 24, Iss 6, p 1941 (2024)
This study assesses the agreement of compressive and shear force estimates at the L5-S1 joint using inertial motion capture (IMC) within a musculoskeletal simulation model during manual lifting tasks, compared against a top-down optical motion captur
Externí odkaz:
https://doaj.org/article/f06c3847f7bf4c3b8818c28ea1f3bad9
Autor:
Patrick G. Monaghan, Ashley D. Knight, Sarah A. Brinkerhoff, Kenneth D. Harrison, Christopher L. Dearth, Brad D. Hendershot, JoEllen M. Sefton, Michael Zabala, Adan Vazquez, David Shannon, David Crumbley, Jaimie A. Roper
Publikováno v:
Frontiers in Rehabilitation Sciences, Vol 4 (2023)
IntroductionThe purpose of this study was to explore relationships between patient-specific characteristics and initial ankle-foot prosthesis prescription patterns among U.S. Service members with unilateral transtibial limb loss.MethodsA retrospectiv
Externí odkaz:
https://doaj.org/article/a213cfab11c243aaa1833c839c07e994
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252839 (2021)
Since most sporting injuries occur at the lower extremity (50% to 66%) and many of those injuries occur at the knee (30% to 45%), it is important to have robust metrics to measure risk of knee injury. Dynamic measures of knee stability are not common
Externí odkaz:
https://doaj.org/article/32aee8c37daf4cfe9532ad62a03adae6
Publikováno v:
Sensors, Vol 21, Iss 11, p 3622 (2021)
Electromyography (EMG) is commonly used to measure electrical activity of the skeletal muscles. As exoskeleton technology advances, these signals may be used to predict human intent for control purposes. This study used an artificial neural network t
Externí odkaz:
https://doaj.org/article/44ba6a4e05ed41d593896cee47a719d8
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 5:343-352
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44150d3c0ba53513331900a03b23d6e7
https://doi.org/10.1109/tmrb.2023.3260261
https://doi.org/10.1109/tmrb.2023.3260261
Publikováno v:
Journal of biomechanics. 137
A dual-task paradigm is most commonly used in the field of biomechanics to understand the effect of multi-tasking or cognitive load on motor performance. The Local Dynamic Stability (LDS) is most commonly used to quantify motor performance, but there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3142f0f3b454ad14d0ed4ed55954199
https://pubmed.ncbi.nlm.nih.gov/35460937
https://pubmed.ncbi.nlm.nih.gov/35460937
Autor:
Richard F. Sesek, Gerard A. Davis, Jordan Coker, Sean Gallagher, Michael Zabala, Mohamed Badawy, Mark C. Schall
Publikováno v:
Applied Ergonomics. 78:217-223
Manual material handling (MMH) is associated with the development of work-related musculoskeletal disorders (MSDs). One-handed carrying is a particularly challenging form of MMH. Age and obesity have been increasing among the general and working popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313cc0ccec6920c5988f1ce73ebce470
https://doi.org/10.1016/j.apergo.2019.03.007
https://doi.org/10.1016/j.apergo.2019.03.007
Publikováno v:
Sensors, Vol 21, Iss 3622, p 3622 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Electromyography (EMG) is commonly used to measure electrical activity of the skeletal muscles. As exoskeleton technology advances, these signals may be used to predict human intent for control purposes. This study used an artificial neural network t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b9c867a9bceaef376994f0c1ca8e840
https://www.mdpi.com/1424-8220/21/11/3622
https://www.mdpi.com/1424-8220/21/11/3622
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252839 (2021)
PLoS ONE
PLoS ONE
Since most sporting injuries occur at the lower extremity (50% to 66%) and many of those injuries occur at the knee (30% to 45%), it is important to have robust metrics to measure risk of knee injury. Dynamic measures of knee stability are not common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71f652bfda076ccd798cc53955259ef7
https://doaj.org/article/32aee8c37daf4cfe9532ad62a03adae6
https://doaj.org/article/32aee8c37daf4cfe9532ad62a03adae6