Automatically Labeling of Brainstem Auditory Evoked Potential Based on Vector Algorithm

摘要：

Brainstem Auditory Evoked Potential (BAEP) is one of the widely-used evoked potentials in clinical application. For many applications such as auditory threshold estimation and surgical monitoring, automatic analysis of BAEP waveform is required to provide BAEP determination threshold for clinical analysis. This paper describes one new vector algorithm which is used to perform automatic labeling of BAEP thresholds on collected BAEP data, and experiment results have shown that label accuracy is more than 90％ under a stimulus intensity of 75dBnHL.

关键词： Brainstem Auditory Evoked Potential Automatically Labeling of Threshold Vector Algorithm

作者: Ying Sun Zhaoxue Chen Hongwei Lu

作者单位: Medical Instrument and Food Engineering College University of Shanghai for Science and Technology Shanghai, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2234-2237

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）