Data preprocessing method of ECG indicators when applied ECG in driver mental workload research
Electrocardiogram (ECG) indicators are widely used in driver mental workload studies. Because ECG is always recorded continuously in experiments, ECG indicator data often have trend. To make follow-up data analysis faster and more reliable, ECG indicator data should be preprocessed to remove or extract the trend according to the aim of the experiment. However,most researchers tend to ignore this point. Based on time series theories, this paper proposed a set of methods to preprocess ECG indicator data series. In this paper, the data preprocessing method was described in detail. And an example was given to illustrate and prove the validity of the method.
electrocardiogram data preprocessing driver mental workload
Xie Xiaoli Hu Jiangbi Liu Xiaoming Wang Shuyun Li Pingsheng
Transportation Research Center Beijing University of Technology Beijing, China National Center of ITS Engineering & Technology Beijing, China
国际会议
长沙
英文
569-572
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）