Title :
Assessment of mental workload based on the model of autonomic regulations on cardiovascular system
Author :
Ohsuga, Mieko ; Terashita, Hiromi ; Shimono, Futomi ; Toda, Mamiko
Author_Institution :
Central Res. Lab., Mitsubishi Electr. Corp., Hyogo, Japan
Abstract :
For the purpose of the quantitative assessment of mental workload using autonomic indices, a physiological model of autonomic regulations on the cardiovascular system is investigated. The model proposed by H. Luczak (see Biological Cybernetics, vol. 18, p. 1-13, 1975) is selected and studied comparing to experimental data and adding some modifications. The present paper also concerns a method for estimating the parameters of the autonomic system which are influenced by mental workload using a neural network trained by the backpropagation method for data sets obtained by the model simulation
Keywords :
physiological models; autonomic indices; autonomic regulation model; backpropagation-trained neural network; cardiovascular system; mental workload assessment; model simulation; parameters estimation method; quantitative assessment; Biological neural networks; Cardiology; Cardiovascular system; Feedback loop; Frequency; Heart rate; Heart rate variability; Parameter estimation; Spectral analysis; Volume measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415370
