ELECTRIC RESPONSE AUDIOMETRY IN INFANTS AND CHILDREN

所提出的实验测试使用特定类的可行性 从脑电波中提取的非行为电反应 在测听频率下测量听力的方法。 高 记录研究所关注的速率响应（HRR） 通过头皮电极，当短暂的短纯音以高速率呈现时， （每秒15-60个）通过耳机;它是密切相关的 所谓的中间等待时间（8到80毫秒）。听觉诱发电位， 其它名称（例如，40 Hz ERP、MLR 40、SMLR等）。 先前的研究 表明HRR预测听力阈值的准确性较低， 不合作或睡觉的孩子比安静，清醒的成年人。 我们 我认为，这种缺乏准确性的情况至少部分是由于目前使用的 数据中只有一个测量值--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反应来代替这个 统计数据是从2000年后可用的多种措施中发展出来的。 傅立叶变换的HRR，一种方法，理论上应该 提高HRR测量的准确性和 阈值响应。 如果成功，该研究将首先 描述实际电气响应的设计要求 听力计将使用HRR快速进行阈值估计， 准确和自动化。 第二，它将提供一种新的、高效的 测量大脑对阈值以上刺激的反应， 睡眠研究中的神经学应用和异常 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.