A MODEL FOR PREDICTION CTDS DUE TO REPETITIVE LOADING

重复加载导致的 CTDS 预测模型

• 批准号: 6044106
• 负责人: DONALD Lloyd FISHER
• 金额: $ 2.49万
• 依托单位: UNIVERSITY OF MASSACHUSETTS AMHERST
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-30 至 2000-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6044106
• 关键词: clinical research; disease /disorder model; disease /disorder proneness /risk; hand; health care model; human subject; model design /development; occupational hazard; physical model; repetitive motion injury; statistics /biometry; tendons; wrist

Cumulative trauma disorders (CTDs) of the hand and wrist are an ever increasing problem for today's workforce. The long-term objective of this work is to decrease the proliferation of cumulative trauma disorders in the workplace. The specific aim of the proposed research is to demonstrate and evaluate an innovative method for dealing with CTDs in the workplace. The proposed effort is focused on the demonstration of a tendon adaptation model that is sensitive to repetition, force, posture and worker anthropometry. In addition, the model performance will be evaluated and sensitivity analysis performed on the model parameters. The proposed model has enormous potential in both preventing injuries and helping to design better products. With further validation the model can be used to establish a quantitative relationship between CTDs and work conditions. The ultimate result will be the ability to: identify high risk work conditions, quantify the problems providing a rational means of altering these conditions, and verify that the changes will indeed reduce the risks. Thus, rather than waiting until CTDs are reaching a debilitating state, this model will provide early detection and prevention.

手部和腕部的累积性创伤性疾病（CTD）是当今劳动力面临的日益严重的问题。 这项工作的长期目标是减少工作场所累积性创伤疾病的扩散。 拟议的研究的具体目的是展示和评估一种创新的方法来处理CTD在工作场所。 拟议的努力是集中在演示的肌腱适应模型，是敏感的重复，力，姿势和工人人体测量。 此外，将评估模型性能，并对模型参数进行敏感性分析。所提出的模型在预防伤害和帮助设计更好的产品方面具有巨大的潜力。 经进一步验证，该模型可用于建立CTD与工作条件之间的定量关系。 最终的结果将是能够：识别高风险的工作条件，量化问题，提供改变这些条件的合理手段， 验证这些变化确实会降低风险。因此，这种模式将提供早期检测和预防，而不是等到CTD达到衰弱状态。