Validation of a novel vocal demand task for measuring vocal fatigue

验证用于测量声音疲劳的新颖声音需求任务

基本信息

  • 批准号:
    10627859
  • 负责人:
  • 金额:
    $ 2.15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-04-01 至 2023-07-17
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract Vocal fatigue is a communication disorder that disproportionately affects occupational voice users such as teachers, call center workers, and religious officials.1–3 Classically, fatigue is composed of two dimensions: perceived fatigue and decrements in task performance.4–6 Researchers in exercise science use a variety of task protocols to elicit perceived fatigue and task performance decrements in the muscle. Only one task protocol, however—loud oral reading—is prevalent in voice research.7 Loud oral reading tasks take 1-2 hours to administer7 and expose vocally vulnerable participants to large vocal fold vibratory doses8–10 that may place them at risk of injury. In the ideal, vocal demand tasks (1) take fewer than 30 minutes to administer, (2) minimize vocal fold vibratory dose, and (3) maximize the contractile demands placed on the intrinsic laryngeal skeletal muscles most susceptible to fatigue. The goal of the proposed study is to validate a vocal demand task (the Fluid Interval Test for Voice, or FIT-V) that cleaves as closely as possible to these ideals, with the goal of sparking future vocal fatigue research and detecting, diagnosing, and treating vocal fatigue prior to the point of disability. Three specific aims support this goal: (SA1) to compare changes in perceived vocal exertion between the FIT-V task protocol and two control task protocols, (SA2) to compare vocal fold distance dose between the three tasks, assessing whether the FIT-V is non-inferior to the current standard in occupational vibratory risk,10,11 and (SA3) to screen several potential indices of task performance decrement, including pressure, flow, and biomechanical measures. The proposed training plan overseen by the University of Delaware uses multiple modalities to enhance the applicant’s ability to investigate vocal fatigue and become an independent, productive research scientist. First, mentored in-person and virtual training in disciplines such as perceived exertion, bioenergetics, and neuromuscular physiology will continue to develop the applicant’s proficiency in fatigue theory and integrated physiological systems. Second, coursework in clinical exercise physiology instrumentation and paradigms of performance testing will augment the applicant’s interdisciplinary rigor and ability to import new techniques, methods, and perspectives to voice science. Third, mentored in-person training and coursework will support the applicant’s ability to use advanced statistical techniques to analyze time-series data and accurately describe intrasubject change in fatigability over time. Fourth, data management training will improve the applicant’s ability to disseminate research findings and protect participant confidentiality. Fifth and finally, mentored training and distance coursework will teach the applicant to create simulation models of physiological systems and fatigue. These training aims will give the applicant multiple avenues through which to build upon existing experimental fatigue paradigms and innovate new approaches to the study of this disabling communication disorder.
项目总结/摘要 声音疲劳是一种沟通障碍,不成比例地影响职业语音用户, 教师、呼叫中心工作人员和宗教官员。1 -3传统上,疲劳由两个维度组成: 4 -6运动科学的研究人员使用各种任务, 协议,以引起感知疲劳和任务表现递减的肌肉。只有一个任务协议, 然而,大声朗读在语音研究中很普遍。7大声朗读阅读任务需要1-2个小时, 管理员7并将声音脆弱的参与者暴露于大的声带振动剂量8 -10, 有受伤的危险在理想的情况下,声音需求任务(1)需要不到30分钟的管理,(2)尽量减少声音 倍振动剂量,和(3)最大限度地提高喉内骨骼肌的收缩需求 最容易疲劳。本研究的目的是验证一个语音需求任务(流体区间 测试的声音,或FIT-V),分裂尽可能接近这些理想,以激发未来的声乐目标 疲劳研究和检测,诊断和治疗残疾点之前的声音疲劳。三个具体 目的支持这一目标:(SA 1)比较FIT-V任务协议之间感知发声的变化 和两个控制任务方案(SA 2),以比较三个任务之间的声带距离剂量,评估 FIT-V在职业性振动风险方面是否不劣于现行标准,10、11和(SA 3)进行筛选 几个潜在的指标的任务性能递减,包括压力,流量和生物力学措施。 由特拉华州大学监督的拟议培训计划使用多种方式来提高 申请人的能力,调查声乐疲劳,并成为一个独立的,富有成效的研究科学家。 首先,指导的人和虚拟培训的学科,如感知的努力,生物能量学, 神经肌肉生理学将继续发展申请人在疲劳理论和综合能力 生理系统。第二,临床运动生理学仪器和范例的课程 性能测试将增强申请人的跨学科严谨性和引进新技术的能力, 声音科学的方法和前景。第三,有指导的面对面培训和课程将支持 申请人使用先进的统计技术分析时间序列数据并准确描述 受试者内疲劳性随时间的变化。第四,数据管理培训将提高申请人的能力 传播研究成果并保护参与者的机密性。第五,也是最后一点,指导培训, 远程课程将教申请人创建生理系统和疲劳的模拟模型。 这些培训目标将为申请人提供多种途径,通过这些途径, 疲劳的范例和创新的新方法来研究这种致残的沟通障碍。

项目成果

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Christopher Sean Apfelbach其他文献

Christopher Sean Apfelbach的其他文献

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{{ truncateString('Christopher Sean Apfelbach', 18)}}的其他基金

Validation of a novel vocal demand task for measuring vocal fatigue
验证用于测量声音疲劳的新颖声音需求任务
  • 批准号:
    10462820
  • 财政年份:
    2022
  • 资助金额:
    $ 2.15万
  • 项目类别:

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