ELECTRIC RESPONSE AUDIOMETRY IN INFANTS AND CHILDREN

拟议的实验测试了使用特定类的可行性 从脑电波中提取的电反应是一种非行为 在测听频率下测量听力的方法。至高无上 记录与研究有关的比率反应(HRR) 当短的音调爆发以高速率呈现时，通过头皮电极 (每秒15-60个)通过耳机；它与 所谓的中等延迟(8到80毫秒)听觉诱发电位和HAS 其他名称(例如，40赫兹ERP、MLR40、SMLR等)。之前的研究已经 显示HRR对听力阈值的预测不太准确 不合作或睡觉的儿童比安静、完全清醒的成年人更容易患上这种疾病。我们 我认为这种准确性的缺乏至少部分是由于目前使用 数据中只有一次测量--一个刺激率下的HRR幅度 分析。我们的研究建议用一个单一的回应来取代这一点 统计是从可用的多种衡量标准中发展出来的 HRR的傅里叶变换，这是一种理论上应该 提高HRR测量的准确性和可检测性 阈值响应。如果成功，这项研究将首先 描述实际电气响应的设计要求 听力计将使用HRR快速做出阈值估计， 准确地、自动地。其次，它将提供一种新的、高效的 对大脑对可能有用的阈值以上刺激的反应的测量 神经学在睡眠研究和异常诊断中的应用 大脑状态。

The proposed experiments test the feasibility of using a particular class of electrical responses extracted from the brainwaves as a non-behavioral method for measuring hearing at the audiometric frequencies. The High Rates Response (HRR) with which the research is concerned is recorded through scalp electrodes when brief tonebursts are presented at high rates (15-60 per sec.) through an earphone; it is closely related to the so-called middle latency (8 to 80 msec.) auditory evoked potentials and has other names (e.g., 40 Hz ERP, MLR40, SMLR, etc.). Previous research has shown that the HRR predicts hearing thresholds less accurately in uncooperative or sleeping children than in quiet, wide-awake adults. We believe this lack of accuracy is due in part at least to current use of a single measure only--HRR amplitude at one stimulus rate--in the data analysis. Our research proposes to replace this with a single response statistic developed out of the multiple measures available after the Fourier transformation of the HRR, an approach that should theoretically improve both the accuracy of HRR measurements and the detectability of threshold responses. If successful, the research will first of all describe the design requirements for a practical electric response audiometer that will use the HRR to make threshold estimates quickly, accurately and automatically. Second, it will provide a new, efficient measure of brain responses to above-threshold stimuli that may find useful neurological applications in sleep studies and the diagnosis of abnormal brain states.