Effect of whole-body vibration exposures on physiological stresses: Mining heavy equipment applications

Kia, Kiana; Fitch, Stephanie; Newsom, Sean A.; Kim, Jeong Ho

doi:10.1016/j.apergo.2020.103065

Cited by 24 publications

(11 citation statements)

References 34 publications

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“…Although an increase in IL‐6 concentration has been observed after an acute eccentric exercise, concentric exercise did not elicit an IL‐6 response (Bruunsgaard et al, 1997; Hellsten et al, 1997; Koenig et al, 2016) and suggest that the increase in IL‐6 might be related to microtear of the muscle. In contrast, 4 h of simulated multi‐axial vibration did not increase creatine kinase, albeit an increase in circulating concentrations of IL‐6 (Kia et al, 2020). Although muscle activation was not assessed in the current investigation, muscle activation is increased with increasing vibration amplitude (Alizadeh‐Meghrazi et al, 2014).…”

Section: Discussionmentioning

confidence: 98%

The effects of whole‐body vibration amplitude on glucose metabolism, inflammation, and skeletal muscle oxygenation

Sanni

Blanks

Derella

et al. 2022

Physiological Reports

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Whole‐body vibration (WBV) is an exercise mimetic that elicits beneficial metabolic effects. This study aims to investigate the effects of WBV amplitude on metabolic, inflammatory, and muscle oxygenation responses. Forty women and men were assigned to a high (HI; n = 20, Age: 31 ± 6 y) or a low‐amplitude group (LO; n = 20, Age: 33 ± 6 y). Participants engaged in 10 cycles of WBV [1 cycle =1 min of vibration followed by 30 s of rest], while gastrocnemius muscle oxygen consumption (mVO2) was assessed using near‐infrared spectroscopy (NIRS). Blood samples were collected PRE, POST, 1H, 3Hs, and 24H post‐WBV and analyzed for insulin, glucose, and IL‐6. In the LO group, Homeostatic Model Assessment for Insulin Resistant (HOMA‐IR) at 3 h (0.7 ± 0.2) was significantly lower compared to PRE (1.1 ± 0.2; p = 0.018), POST (1.3 ± 0.3; p = 0.045), 1H (1.3 ± 0.3; p = 0.010), and 24H (1.4 ± 0.2; p < 0.001). In addition, at 24H, HOMA‐IR was significantly lower in the LO when compared to the HI group (LO: 1.4 ± 0.2 vs. HI: 2.2 ± 0.4; p = 0.030). mVO2 was higher (p = 0.003) in the LO (0.93 ± 0.29 ml/min/100 ml) when compared to the HI group (0.63 ± 0.28 ml/min/100 ml). IL‐6 at 3H (LO: 13.2 ± 2.7 vs. HI: 19.6 ± 4.0 pg·ml−1; p = 0.045) and 24H (LO: 4.2 ± 1.1 vs. HI: 12.5 ± 3.1 pg·ml−1; p = 0.016) was greater in the HI compared to the LO group. These findings indicate that low‐amplitude WBV provides greater metabolic benefits compared to high‐amplitude WBV.

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Section: Discussionmentioning

confidence: 98%

The effects of whole‐body vibration amplitude on glucose metabolism, inflammation, and skeletal muscle oxygenation

Sanni

Blanks

Derella

et al. 2022

Physiological Reports

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“…Despite the technological advancements [1][2][3] of the modern world, mining is still one of the industries with the highest rates of accidents and occupational illnesses [4][5][6][7][8]. The number of accidents caused by mining equipment has risen in recent years [9]. Many workers seem to be unable to recognize hazards or interpret and recognise risk situations in terms of actions [10,11].…”

Section: Introductionmentioning

confidence: 99%

The Future of Mine Safety: A Comprehensive Review of Anti-Collision Systems Based on Computer Vision in Underground Mines

Imam

Bäına

Tabii

et al. 2023

Sensors

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Underground mining operations present critical safety hazards due to limited visibility and blind areas, which can lead to collisions between mobile machines and vehicles or persons, causing accidents and fatalities. This paper aims to survey the existing literature on anti-collision systems based on computer vision for pedestrian detection in underground mines, categorize them based on the types of sensors used, and evaluate their effectiveness in deep underground environments. A systematic review of the literature was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to identify relevant research work on anti-collision systems for underground mining. The selected studies were analyzed and categorized based on the types of sensors used and their advantages and limitations in deep underground environments. This study provides an overview of the anti-collision systems used in underground mining, including cameras and lidar sensors, and their effectiveness in detecting pedestrians in deep underground environments. Anti-collision systems based on computer vision are effective in reducing accidents and fatalities in underground mining operations. However, their performance is influenced by factors, such as lighting conditions, sensor placement, and sensor range. The findings of this study have significant implications for the mining industry and could help improve safety in underground mining operations. This review and analysis of existing anti-collision systems can guide mining companies in selecting the most suitable system for their specific needs, ultimately reducing the risk of accidents and fatalities.

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“…As a result, reducing radiated noise and weight are critical factors in the design of new large mining equipment. These optimization areas are of great interest to researchers and have received a lot of attention 7 , 8 .…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimization design approach of large mining planetary gear reducer

Xin,

Zhang,

et al. 2023

Sci Rep

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A two-stage computational framework is proposed to optimize the radiated noise and weight of a large mining planetary gear reducer under the rated conditions, based on a combination of response surface methodology and multi-objective optimization. The well-established transient dynamic analysis model of a large mining planetary gear reducer, which is used to analyze the mechanical strength and acoustic characteristics of the gear reducer. A unified experimental design is developed to obtain the response surface of the gearbox radiated noise and the mass of the gearbox housing. After obtaining the multi-objective optimization function, the multi-objective optimization problem for a lightweight and low-noise gearbox is performed using non-dominated sorting from the Genetic Algorithm II (NSGA-II). The research results demonstrates the effectiveness of the proposed optimization method in reducing vibrating amplitude and weight of the gearbox. This is crucial for minimizing energy consumption and enhancing the overall performance of the system. Additionally, the optimized gearbox design not only saves energy but also contributes to the reduction of carbon emissions, making it environmentally friendly.

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Effect of whole-body vibration exposures on physiological stresses: Mining heavy equipment applications

Cited by 24 publications

References 34 publications

The effects of whole‐body vibration amplitude on glucose metabolism, inflammation, and skeletal muscle oxygenation

The effects of whole‐body vibration amplitude on glucose metabolism, inflammation, and skeletal muscle oxygenation

The Future of Mine Safety: A Comprehensive Review of Anti-Collision Systems Based on Computer Vision in Underground Mines

A multi-objective optimization design approach of large mining planetary gear reducer

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