Dynamic Simulation of Biomechanical Behaviour of the Pelvis in the Lateral Impact Loads

Hatami, Mohsen; Wang, Dongmei; Qu, Aili; Zeng, Xianlu; Wang, Qiugen; Kazemian, Behzad Baradaran

doi:10.1155/2018/3083278

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…[4] The tatami should not be much spongy or thick and must meet the Judo standards set by the Judo federation of India. Judo technical simulations can also be shown to display and observe biomechanical impact on the judo performance [5] using sophisticated biomechanical software like Kinovea.…”

Section: Resultsmentioning

confidence: 99%

Applying Bayes’ Classification to Predict Conditional Probabilities of a Test Case for Specified Injuries in Biomechanical Judo Combating

Hooda¹,

Dhaka²

2019

IJRTE

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Judo is technical combating game that is based on the biomechanical practices and lies in the category of most probable traumatic &injurious games. Judo is all about throwing the opponent to win the bout. Uke (defender) continuouslymake efforts to defend himself from being displaced or to take advantage of Tori's (attacker) body weight shifting by counter attacking through reversing the transferred force back to Tori with added strength and misbalanced him. As a defender, Uke try to avoid the back fall as this leads to loss of bout completely. This unusual evasion greatly invites the Judo trauma as a result of sudden twisting of Uke body in avoiding back fall. The injuries like abrasion, sprain or muscle strain are common during practices and are temporary. The major injuries like spine & head injuries that can cause the paralysis or memory loss and breakage ofHumerus (upper arm of shoulder) or disjoint of tibia in knee, elbow damage can spoil the carrier of Judoka as he cannot fight back in original form after such injuries. Therefore a prudent observation of probable injuries, their classification and association with Judo techniques is quite significant. Bayes' classification can easily predict that which class of techniques like hip techniques, hands or legs techniques, throwing techniques, joint lock techniques or the choking techniques is more prone to particular set of specified injuries while playing by males or females under 3 categories of weight say lightweight, middle weight and high weight. Such study is beneficial to Judokas and coaches to avoid possible injuries. For this purpose, the research paper apply Bayes' theorem to classify the conditional probabilities of 3 different classes of Judo injuries C1, C2 and C3 by taking 17 different Judo techniques under different Judo techniques classes, for instance,Ashi-Waza, Te-Waza, Kansetu-Waza, Sutemi-Waza and Shime-Waza in training data to compute posteriori. The tatami (Judo Mat) quality to absorb the pressure & reduce the risk of Judo traumas is also highlighted. For the further scope of the study, other behavioralaspects like attitude and beliefs that influences the Judokas performance, their learning &position winning arealso reflected.

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Section: Resultsmentioning

confidence: 99%

Applying Bayes’ Classification to Predict Conditional Probabilities of a Test Case for Specified Injuries in Biomechanical Judo Combating

Hooda¹,

Dhaka²

2019

IJRTE

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“…Research on dynamic processes' analyses involving human participation resulted in the development of such programs as CALSPAN 3D CSV [29], ADAMS [30,31], or MADYMO 3D [32][33][34]. Systems of this type were mainly aimed at analyzing crash tests of virtually designed vehicles.…”

Section: Digital Human Modelsmentioning

confidence: 99%

Preventing Work-Related Musculoskeletal Disorders in Manufacturing by Digital Human Modeling

Grobelny

Michalski

2020

IJERPH

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This research concerns the workplace design methodology, involving digital human models, that prevents work-related musculoskeletal disorders (WMSDs). We propose an approach that, in conjunction with one of the classic WMSD risk assessment methods, allows one to simplify simulations in a three-dimensional digital environment. Two real-life workstations from a manufacturing industry were modelled in a 3D Studio Max environment by means of an Anthropos ErgoMax system. A number of simulations show that, for the examined cases, classic boundary mannequins’ approaches can be replaced by using 50th percentile of a population individual, with a minimal impact on the WMSD risk. Although, the finding might not be suitable in all situations, it should be considered, especially where compromise solutions are being sought due to other criteria.

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The comparison of age- and sex-specific alteration in pubic bone microstructure: A cross-sectional cadaveric study

Jadžić

Mijucic

Nikolić

et al. 2021

Experimental Gerontology

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Dynamic Simulation of Biomechanical Behaviour of the Pelvis in the Lateral Impact Loads

Cited by 3 publications

References 40 publications

Applying Bayes’ Classification to Predict Conditional Probabilities of a Test Case for Specified Injuries in Biomechanical Judo Combating

Applying Bayes’ Classification to Predict Conditional Probabilities of a Test Case for Specified Injuries in Biomechanical Judo Combating

Preventing Work-Related Musculoskeletal Disorders in Manufacturing by Digital Human Modeling

The comparison of age- and sex-specific alteration in pubic bone microstructure: A cross-sectional cadaveric study

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