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.

项目摘要/摘要 大约30％的美国成年人一生都受到语音障碍的影响，大约有2500万人 在任何给定的时间点都会出现语音障碍，导致社会成本（损失工作，医疗费用， 等等）估计每年135亿美元。人声疲劳（VF）被视为病因和/或反应性成分 在大多数常见的语音障碍中，也是个人最常见的与语音相关的抱怨之一 依靠自己的声音以谋生（例如，老师，歌手等）。 VF的先前定义各不相同 最近尝试共识，将VF描述为一个多方面的概念，涉及个人的自我 感知的症状（例如增加努力和不适）和/或人声功能的恶化 个人试图满足他/她的声音要求。先前的研究表明，扬声器对 VF恢复的说话者可变性，但与如此高的可变性相关的因素尚未确定。 不幸的是，关于原因和对光态机制的影响和影响的客观信息很少 VF，限制预防和临床管理这一普遍投诉的努力。 该项目的目标是（1）使用多模式测量方法进行全面的和 客观地描述VF对人声功能的逐步影响，（2）量化基础语音堆肥 有助于VF及其恢复进展的行为，以及（3）确定人声功能和 可以说明VF恢复轨迹的高变异性的人声行为参数。这 这项研究的目标是通过现有的卧床语音监控数据集和 新数据。现有数据集包括来自87个典型人的门诊录音（对于 总共889天）和123例声带过度功能的患者（总计763天）。新数据将包括 控制良好的INLAB声音加载协议，并使用最先进的无线监控内场监测三天 监视系统。 INLAB会话将包括声音函数的定期多模式数据采集（高 - 速度视频注射镜检查，空气动力学，电视学，声学和颈部表面加速度计） 加载协议的进展。机器学习的统计能力与两个小说结合 声带散开能量（反映声乐功能）和时间序列的声音折叠式措施 比率（反映声音行为的摄影和休息期的临时测序）来量化进展 并根据一个人的先前累积声音行为和人声功能来恢复VF。 实现该项目的目标将为开发新的临床工具提供基础，以防止， 评估和减轻VF 语音使用。