Objective assessment of vocal fatigue in laboratory and real-world settings

实验室和现实环境中声音疲劳的客观评估

• 批准号: 10723486
• 负责人: Hamzeh Ghasemzadeh
• 金额: $ 13.28万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10723486
• 关键词: Accelerometer; Acoustics; Adult; Affect; Ambulatory Monitoring; Behavior; Characteristics; Clinical; Clinical Management; Compensation; Consensus; Data; Data Set; Databases; Deterioration; Development; Etiology; Exhibits; Fatigue; Female; Goals; Health Care Costs; Image; Individual; Intuition; Judgment; Knowledge; Laboratories; Laboratory Study; Life; Loudness; Machine Learning; Measurement; Measures; Medical; Modality; Modeling; Monitor; Neck; Occupations; Pain; Participant; Patients; Pattern; Periodicals; Persons; Phase; Productivity; Protocols documentation; Recovery; Reporting; Rest; Series; Shoulder; Speed; Stress Tests; Surface; Symptoms; System; Time; Training Programs; Variant; Voice; Voice Disorders; Voice Quality; Work; behavior prediction; clinical predictors; data acquisition; disability; experience; improved; insight; machine learning framework; male; multimodal data; multimodality; novel; novel strategies; predictive modeling; prevent; societal costs; supervised learning; teacher; tool; vibration; vocal cord; wireless sensor

Project Summary/Abstract Approximately 30% of US adults are affected by a voice disorder during their lives, with about 25 million people experiencing a voice disorder at any given point in time, resulting in societal costs (lost work, medical expenses, etc.) estimated at $13.5 billion annually. Vocal fatigue (VF) is viewed as an etiological and/or reactive component in most common voice disorders and is also among the most common voice-related complaints of individuals who rely on their voices to make a living (e.g., teachers, singers, etc.). Previous definitions of VF have varied with a recent attempt at consensus describing VF as a multifaceted concept that involves an individual’s self- perceived symptoms (e.g., increased effort and discomfort) and/or a deterioration in vocal function associated with an individual’s attempt to meet his/her vocal demands. Prior studies have demonstrated high speaker-to- speaker variability in recovery from VF, but the factors associated with such high variability are not determined. Unfortunately, there is a paucity of objective information about the causes and impact on phonatory mechanisms of VF, limiting efforts to prevent and clinically manage this common complaint. The objectives of this project are (1) to use a multi-modal measurement approach to comprehensively, and objectively, describe the progressive impact of VF on vocal function, (2) to quantify the underlying voicing-resting behaviors that contribute to the progression of VF and its recovery, and (3) to identify the vocal function and vocal behavior parameters that could account for the observed high variability in VF recovery trajectories. The objectives of this study are pursued using a combination of an existing ambulatory voice monitoring dataset and new data. The existing dataset includes ambulatory voice recordings from 87 vocally typical individuals (for a total of 889 days) and 123 patients with vocal hyperfunction (for a total of 763 days). The new data will include a well-controlled inlab vocal loading protocol, and three days of infield monitoring using a state-of-the-art wireless monitoring system. The inlab session will include periodic multi-modal data acquisition of vocal function (high- speed videoendoscopy, aerodynamics, electroglottography, acoustics, and neck-surface accelerometry) during the progression of the loading protocol. Statistical power of machine learning is combined with two novel ambulatory measures of vocal fold dissipated energy (reflecting vocal function) and a time series voicing-resting ratio (the temporal sequencing of phonatory and resting periods reflecting vocal behavior) to quantify progression and recovery of VF in terms of a person’s prior cumulative vocal behavior and vocal function. Achieving the goals of this project will lay the groundwork for the development of new clinical tools for preventing, assessing, and alleviating VF, which will be particularly valuable for professionals in occupations requiring heavy voice use.

项目总结/摘要 大约30%的美国成年人在他们的生活中受到声音障碍的影响，约有2500万人 在任何给定的时间点经历声音障碍，导致社会成本（失去工作，医疗费用， 等等）。估计每年135亿美元。发声疲劳（VF）被认为是一种病因和/或反应性成分 在最常见的声音障碍，也是最常见的声音相关的投诉的个人 依靠他们的声音谋生的人（例如，教师、歌手等）。以前的VF定义各不相同 最近有一个共识，将VF描述为一个涉及个人自我的多方面概念， 感知的症状（例如，增加的努力和不适）和/或与之相关的发声功能的恶化 一个人试图满足他/她的声音需求。之前的研究表明，高说话者对 从VF恢复中的说话者可变性，但与这种高可变性相关的因素尚未确定。 不幸的是，目前缺乏关于其原因和对发声机制的影响的客观信息 VF，限制了预防和临床管理这种常见投诉的努力。 本项目的目标是：（1）使用多模态测量方法， 客观地描述VF对发声功能的渐进性影响，（2）量化潜在的静息-静息 有助于VF进展及其恢复的行为，以及（3）识别发声功能， 可以解释VF恢复轨迹中观察到的高变异性的发声行为参数。的 本研究的目的是使用现有的动态语音监测数据集和 新数据现有的数据集包括来自87个声音典型个体的动态语音记录（对于一个 共889天）和123例声带功能亢进患者（共763天）。新数据将包括 一个控制良好的实验室语音加载协议，和三天的内场监测使用国家的最先进的无线 监控系统实验室内会议将包括定期多模态数据采集的声音功能（高- 速度视频内窥镜检查、空气动力学、电声门描记术、声学和颈表面加速度计） 加载协议的进展。机器学习的统计能力与两种新颖的 动态测量声带耗散能量（反映发声功能）和时间序列的休息 比率（反映发声行为的发声和休息期的时间顺序）来量化进展 和VF的恢复，根据一个人先前累积的发声行为和发声功能。 实现该项目的目标将为开发新的临床工具奠定基础， 评估和减轻VF，这对于需要重负荷工作的专业人员特别有价值。 语音使用。