German-Russian statistical audiology: Data conditioning and audiological profile analysis for the diagnosis and compensation of hearing impairment” (GRUSTAD)

德国-俄罗斯统计听力学：用于听力障碍诊断和补偿的数据调理和听力档案分析â (GRUSTAD)

• 批准号: 465121786
• 负责人: Professor Dr. Birger Kollmeier
• 金额: --
• 依托单位: Abteilung Medizinische Physik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/465121786?language=en
• 关键词: German; Russian; statistical; audiology; Data

Even though hearing impairment is the most common sensory disease with a massive negative impact on approximately 18% of our population, the diagnostics and rehabilitation approaches with hearing devices are still limited, e.g., the restoration of normal speech perception in everyday noisy conditions is still incomplete – primarily because of the scattered empirical knowledge about the reduced speech perception and the limited individual benefit from a hearing device without a systematic data analysis approach. The current project addresses this problem in a statistical, machine-learning-guided way that combines basic science, statistical analysis, and clinical audiology independent from the test language employed: By building up an exchangeable, easily accessible, and expandable database of audiological diagnostic measures and specialized, language-independent tests applied to a clinical population, we will analyze the causes and consequences of hearing impairment in a precise and individualized manner. Statistical and machine-learning methods will be used to identify a minimum set of measures needed for the diagnosis of a given hearing disorder with high certainty. This should lead to statistically motivated auditory profiles which will be linked to individualized treatment recommendations and fitting of hearing devices that are verified using an idealized, laboratory-based “open master hearing aid” (Grimm et al., 2006) in comparison to the benefit provided by the patient´s own device. Hence, using only a few specific audiological tests in fitting and assessing the benefit from hearing devices, a more comprehensive and theory-grounded way of hearing rehabilitation will be reached, thus increasing the efficiency and acceptance of hearing devices. Generally, this statistical audiology approach will lead to a precise and efficient diagnostics and an optimized prescription and fitting of modern hearing devices. The specific interaction between a biomedical data science center (connected to an academic clinical research hospital) in Russia and a basic science-driven Cluster of Excellence in Germany has the great potential to establish the field of statistical audiology. The comparability of speech tests in the Russian and German language (which is based on the already existing collaboration between St. Petersburg and Oldenburg) and the joint development and application of advanced procedures in rehabilitative audiology will strengthen the links across Germany and Russia in the practically relevant field of speech communication.

尽管听力障碍是最常见的感觉疾病，对大约 18% 的人口产生巨大的负面影响，但听力设备的诊断和康复方法仍然有限，例如，在日常嘈杂条件下恢复正常言语感知仍然不完整– 主要是因为关于语音感知减弱的经验知识分散，并且在没有系统数据分析方法的情况下，听力设备对个人的益处有限。当前的项目以结合基础科学的统计、机器学习引导的方式解决了这个问题。统计分析，与临床听力学无关从所使用的测试语言来看：通过建立一个可交换、易于访问和可扩展的听力诊断测量数据库以及应用于临床人群的专门的、独立于语言的测试，我们将以精确和个性化的方式分析听力障碍的原因和后果统计和机器学习方法将用于确定诊断特定听力障碍所需的最低限度的措施，这应该会产生经济动机的听觉档案，该档案将与个性化的治疗建议和适配相关联。使用理想化、因此，仅使用一些特定的听力学测试来验配和评估助听器的益处，就可以得出更全面、更有理论基础的听力康复方法，从而提高助听器的效率和接受度。将导致精确有效的诊断以及现代听力设备的优化处方和验配生物医学数据之间的特定相互作用。俄罗斯的科学中心（与学术临床研究医院相连）和德国的基础科学驱动的卓越集群具有建立统计听力学领域的巨大潜力。基于圣彼得堡和奥尔登堡之间现有的合作）以及康复听力学先进程序的联合开发和应用将加强德国和俄罗斯在实际相关的言语交流领域的联系。