Evaluating cognitive task result through heart rate pattern analysis

Author:

Yu Juan1,Liu Guang Yuan123,Wen Wan Hui12,Chen Chuan Wu1

Affiliation:

1. School of Electronics and Information Engineering Southwest University Chongqing 400700 People's Republic of China

2. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing 400700 People's Republic of China

3. Chongqing Collaborative Innovation Center for Brain Science Chongqing 400700 People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Reference22 articles.

1. Pega Z. Epps J. Chen F.: ‘Spectral EEG features for evaluating cognitive load’. Annual Int. Conf. IEEE Engineering in Medicine and Biology Society 2011 pp.3841–3844

2. Das D. Chatterjee D. Sinha A.: ‘Unsupervised approach for measurement of cognitive load using EEG signals’. IEEE Int. Conf. Bioinformatics and Bioengineering Institute of Electrical and Electronics Engineers 2013 pp.1–6

3. Sena P. Pappalardo M. Pellegrino A. et al.: ‘Studying the influence of cognitive load on driver's performances by a fuzzy analysis of lane keeping in a drive simulation’. Seventh IFAC Symp. Advances in Automotive Control 2013 pp.151–156

4. Masahiro M. Haruki K. Koji O. et al.: ‘Study on driver distraction detection using pattern recognition for the reduction of traffic accidents’. 16th World Congress on Intelligent Transport Systems and Services 2009 vol.17 no.1 pp.57–59

5. Ma Z.Y. Mahmoud M. Robinson P. et al.: ‘Automatic detection of a driver's complex mental states’. 17th Int. Conf. 2017 pp.678–691

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