SPEECH CHARACTERISTICS OF PATIENTS WITH LUNG DISEASE

肺病患者的言语特征

• 批准号: 3449784
• 负责人: LINDA L FORNER
• 金额: $ 5.19万
• 依托单位: UNIVERSITY OF CINCINNATI
• 依托单位国家: 美国
• 财政年份: 1984
• 资助国家: 美国
• 起止时间: 1984-12-01 至 1987-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3449784
• 关键词: asthma; computer assisted diagnosis; emphysema; human subject; lung disorder; respiratory airflow measurement; respiratory disorder diagnosis; respiratory function; sound frequency; speech; speech disorder diagnosis; speech disorders

Speech production will be compared for patients with restrictive, obstructive, and neuromuscular chest wall diseases, and for normal subjects. The effect of respiratory diseases of various types and degrees of severity upon the spoken voice will be studied systematically. All subjects will have standard pulmonary function tests of lung volumes and mechanics. A series of utterances then will be recorded, using a prescribed protocol. The protocol is designed to include continuous speech as well as phonetically balanced productions and activities which will stress the speech mechanisms. Airflow and lung volume will be recorded simultaneously, on different channels of the same magnetic tape. A Respitrace induction plethysmograph will be used to allow measurement of the relative contributions of thoracic and abdominal breathing. Intraoral pressure and pneumotachygraph flow rates will be measured for some parts of the protocol. Frequency, intensity, and temporal aspects of the sound signal will be analyzed, and speech characteristics assessed perceptually. Analysis of the data will test hypotheses that lung diseases and physiologic limitations will alter speech characteristics. These alterations will be measured and correlated with physiologic changes and compensatory mechanisms adopted by the subjects. Analytic techniques will include sound intensity and spectrum analysis, using computer techniques to relate these to physiological variables, and subjective assessment of vocal quality by experienced speech pathologists. Systematic variation by patient, by sex, by disease, and by severity of physiological impairment will be sought by statistical analysis of the results, using analysis of variance, multiple regression analysis, and various non-parametric tests. Expected alterations in speech resulting from pulmonary disease have been predicted, and hypotheses based on these predictions will be tested by analysis of the observations made. Observations of changes and the mechanisms underlying these changes will provide a basis for effective management intervention.

将比较具有限制性， 阻塞性和神经肌肉性胸壁疾病，以及正常 科目 各种类型和程度的呼吸道疾病的影响 将系统地研究对说话声音的严重性。 所有 受试者将进行肺容量的标准肺功能测试， 力学 一系列的话语，然后将被记录，使用 规定的协议。 该协议旨在包括连续语音 以及语音平衡的制作和活动， 强调语言机制。 将记录气流和肺容量 同时，在同一磁带的不同通道上。 一 呼吸诱导体积描记器将用于测量 胸式呼吸和腹式呼吸的相对贡献。 口内 将测量某些部分的压力和呼吸速度描记器流速， 协议。 声音的频率、强度和时间方面 信号将被分析，并且语音特征将被感知地评估。 对数据的分析将检验肺部疾病和 生理限制将改变言语特征。 这些 将测量改变并与生理变化相关联， 受试者采用的补偿机制。 分析技术将包括声强和频谱分析， 使用计算机技术将这些与生理变量联系起来， 由经验丰富的语言病理学家对声音质量进行主观评估。 不同患者、性别、疾病和严重程度的系统性变异 生理损害将通过统计分析来寻找， 结果，使用方差分析，多元回归分析， 各种非参数检验。 预期的言语变化导致 从肺部疾病已经预测，并假设基于这些 预测将通过分析所作的观察来检验。 对变化的观察以及这些变化背后的机制将 为有效的管理干预提供基础。