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 extr...

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Bibliographic Details
Main Authors: Xie Xiaoli, Hu Jiangbi, Liu Xiaoming, Wang Shuyun, Li Pingsheng
Format: Conference Proceeding
Language:English
Subjects:
Automation
Data analysis
Data preprocessing
Electrocardiography
Fluctuations
Heart
Roads
Testing
Timing
Transportation
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Summary: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.
DOI:10.1109/ICICTA.2009.144