CAREER: A Multiscale Computational and Experimental Framework to Elucidate the Biomechanics of Infant Growth

职业生涯：阐明婴儿生长生物力学的多尺度计算和实验框架

• 批准号: 2238859
• 负责人: Victor Huayamave
• 金额: $ 57.74万
• 依托单位: Embry-Riddle Aeronautical University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238859&HistoricalAwards=false
• 关键词: CAREER; Multiscale; Computational; Experimental; Framework

Musculoskeletal disorders and diseases are the leading cause of disability in the United States and account for more than one-half of all chronic conditions in people over 50 years of age in developed countries. This Faculty Early Career Development (CAREER) award supports research to build a better understanding of these disorders and diseases, through the development of a novel framework to evaluate growth and development of the hip joint in infants. The outcome of the study will be to identify major factors that drive and regulate growth early in life that may have long-term benefits for prevention of early arthritis. This project will address a wide class of problems involving mechanics, computational morphometrics, movement science, and mechanobiology. The research is integrated with an educational plan to expose high school, undergraduate, and graduate students to novel joint growth and development concepts using hands-on activities, 3D printing, and 3D visualizations. These activities will encourage high school students, including females and underrepresented minorities, to pursue STEM careers and will help educate the next generation of engineers. This study aims to reduce the physical, social, and economic burden for children affected by developmental disorders by increasing awareness among the public, and improving treatments for better outcomes.In this CAREER project, the PI will use experimental motion capture data, finite element analysis, statistical shape modeling, and multi-scale musculoskeletal mechanobiological modeling to develop a framework that provides non-invasive approaches to examine the dynamics of human movements. Infant’s spontaneous movements generate forces that are constantly acting on the joints, which can affect the morphology and development of the soft bone. Using combined experimental and computational tools, this research will predict the complex adaptation of the joint to biomechanical factors, thus providing a basis for improved prevention and treatment of developmental disorders. Specific tasks include establishing a lower limb atlas of infant morphology using statistical shape modeling, using pediatric movement science to quantify physiological joint forces and moments, and applying sensitivity and uncertainty analyses to systematically evaluate how inputs to this framework affect predictions of growth and development. Results from the research will: (1) Provide experimental data and computational models that can serve as the basis for developing innovative solutions for infant developmental disorders; (2) Develop innovative tools to aid clinicians, pediatricians, and physical therapists when managing joint disorders; (3) Identify major factors that quantify morphogenesis early in life that may have long-term benefits for prevention of early arthritis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

肌肉骨骼疾病和疾病是美国疾病疾病的主要原因，在发达国家50岁以上的人群中占所有慢性病的一半以上。通过开发一个新颖的框架来评估婴儿中髋关节的增长和发展，这项教师早期职业发展（职业）奖（职业）奖支持研究，以更好地了解这些疾病和疾病。该研究的结果将是确定驱动和规范生命早期增长的主要因素，这些因素可能在预防早期关节炎方面具有长期益处。该项目将解决涉及的各种问题，计算形态计量学，运动科学和机制。这项研究与一项教育计划融为一体，旨在通过动手活动，3D打印和3D可视化来揭示高中，本科生和研究生的新型联合成长和发展概念。这些活动将鼓励包括女性和代表性不足的少数民族在内的高中生从事STEM职业，并将帮助教育下一代工程师。这项研究旨在通过提高公众的认识来减少受发展疾病影响的儿童的身体，社会和经济焚烧，并改善治疗方法以提高更好的结果。在这个职业项目中，PI将使用实验运动捕获数据，有限的元素分析，统计形状建模，多大规模的MusculoSkelet Musculoskelet Muscleskelet机械模型来开发人类界面的动力学方法。婴儿的赞助运动会产生不断作用在关节上的力，这会影响软骨的形态和发育。使用合并的实验和计算工具，这项研究将预测关节生物力学因素的复杂适应，从而为改善预防和治疗发育障碍提供了基础。特定的任务包括使用统计形状建模建立婴儿形态的下肢地图，使用小儿运动科学来量化物理关节力和力矩，以及应用敏感性和不确定性分析以系统地评估该框架的输入如何影响生长和发展的预测。研究结果将：（1）提供实验数据和计算模型，这些模型可以作为开发婴儿发育障碍创新解决方案的基础； （2）在管理关节疾病时开发创新的工具，以帮助临床医生，儿科医生和物理治疗师； （3）确定可能在预防早期关节炎中具有长期利益的生命早期形态发生的主要因素。该奖项反映了NSF的法定任务，并且使用基金会的智力优点和更广泛的影响审查标准，认为值得通过评估来获得支持。

项目成果

Validation of a Biomechanical Injury and Disease Assessment Platform Applying an Inertial-Based Biosensor and Axis Vector Computation

• DOI: 10.3390/electronics12173694
• 发表时间: 2023-09-01
• 期刊: ELECTRONICS
• 影响因子: 2.9
• 作者: Kim，Wangdo;Vela，Emir A.;Gonzalez，Oscar
• 通讯作者: Gonzalez，Oscar