2022 Fiscal Year Annual Research Report
A Novel Approach for Investigation on Lateral Fall Injuries and Mitigation Strategies using Electromyography (EMG) and Bayesian Optimization
| Project/Area Number |
19K15250
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| Research Institution | Nagoya University |
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Principal Investigator |
RAJAEI NADER 名古屋大学, 情報学研究科, 研究員 (30813787)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | latera fall / forward fall / impact velocity / soft tissue stiffness |
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| Outline of Annual Research Achievements |
The problem of human falls, particularly among the elderly, is one that can result in serious injuries, such as a soft tissue injury or a bone fracture, or even result in death depending on the severity of the accident.
The purpose of this study's goal was to find out the factors that may have a significant impact on the severity of fall injury as a result of a fall, and how these factors may influence the severity of the fall injury. In an investigation that we conducted, we investigated soft tissue stiffness that may play a significant role in determining the extent of injury sustained during a fall or any collision such as machine-human impact during a fall or collision for a variety of impact velocities during a fall or collision.
It is highly likely that the upper arm will be damaged during a lateral fall or a second impact during a forward fall. Soft tissue stiffness in the upper arm was measured using a pendulum during a subject-based experiment. Soft tissue deformation and impacts can be measured using force sensors and ultrasonic technology.
As a result of this study, we were able to demonstrate that different impact velocities result in different changes in the stiffness behavior of nonlinear soft tissues. In addition, we used a variety of indentation impactors to obtain the behavior of the stiffness of soft tissues during the impact of the impactor.
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