Fast and reliable ASSR measurement for hearing loss detection

用于听力损失检测的快速可靠的 ASSR 测量

• 批准号: 570568-2021
• 负责人: HATZINAKOS, DIMITRIOSD
• 金额: $ 7.29万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=751696
• 关键词: Fast; reliable; ASSR; measurement; hearing

Hearing loss is the most common sensory disability in the world. It is also one of the most fast-growing and prevailing chronic disorders in Canada. Advanced testing for hearing sense in Canadian hospitals employs brainwaves (or EEG) to record Auditory Evoked Potentials (AEPs) under auditory stimulation which is considered the best approach to assess hearing ability in newborns and adults. One auditory response that can be analyzed using EEG for hearing assessment is the Auditory Steady-State Response (ASSR) signal measurement. In this research application, we propose a set of advanced signal processing techniques based on temporal and spatial filtering techniques that can improve the ASSR signal quality over spontaneous EEG and myogenic artifacts. These techniques were found effective in non-medical applications including Brain-Computer Interface (BCI), using steady-state visual evoked potentials and biometrics. However, to date, the superiority of these techniques over standard ASSR signal processing have not been evaluated in medical applications and especially in ASSR diagnosis. Our main objective is to investigate the feasibility of these signal processing methodologies to improve the reliability of hearing assessment and objective threshold estimation using ASSR within clinically viable time. Furthermore, in addition to hearing assessment, the feasibility and effectiveness of developed technologies can be explored in a number of recently emerging applications. That, is ASSR estimation in biometric human recognition and ASSR estimation in monitoring of mental health conditions such as concussion and dementia progression.The COVID-19 pandemic has put many parts of society into extreme isolation, including adults, older members of society and the very elderly. Hearing loss can often go undetected when people are not socially active or are isolated. This can have a negative impact on the availability of people to reintegrate into the post-pandemic workforce. Undetected hearing loss can limit performance at all levels of the workforce and can be simply remedied if detection is improved with great benefits to the Canadian society and economy.

听力损失是世界上最常见的感觉残疾。它也是加拿大最快速增长和流行的慢性疾病之一。在听觉刺激下，加拿大医院的听力感测试具有脑电波（或脑电图），以记录听觉引起的潜力（AEP），这被认为是评估新生儿和成人听力能力的最佳方法。可以使用脑电图进行听力评估的一种听觉响应是听觉稳态响应（ASSR）信号测量。在本研究应用程序中，我们根据时间和空间滤波技术提出了一组高级信号处理技术，这些技术可以改善自发性脑电图和肌源性伪像的ASSR信号质量。这些技术在使用稳态的视觉诱发电位和生物识别技术中发现了包括脑部计算机界面（BCI）在内的非医学应用中有效的有效。但是，迄今为止，尚未在医疗应用中，尤其是在ASSR诊断中评估这些技术优于标准ASSR信号处理的优势。我们的主要目的是研究这些信号处理方法的可行性，以提高听力评估的可靠性和在临床可行的时间内使用ASSR估算的客观阈值估算。此外，除了听力评估外，还可以在许多最近新兴的应用中探索开发技术的可行性和有效性。这是对生物识别人类认识和ASSR估计的ASSR估计，在监测脑震荡和痴呆症进展等心理健康状况的监测中。当人们在社会上不活跃或孤立时，听力损失通常可能会被发现。这可能会对人们重新融入大流行劳动力的可用性产生负面影响。未被发现的听力损失可能会限制劳动力的各个级别的绩效，如果发现发现对加拿大社会和经济有很大好处，则可以简单地修复。