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Non-Contact Detection of Respiratory Pattern Changes due to Mental Workload

Bioradiolocation is a method of non-contact and unobtrusive estimation a person’s rate and amplitude of breathing and heartbeat patterns. The aim of this paper is to prove that the differences in registered by the bioradar signals coming from people in varying psycho-emotional states are statistically significant. The results of this research may prove useful in the development of systems determining the moment of exhaustion and mental fatigue of a worker (air-traffic controller, driver). A series of experiments, involving practically healthy 34 volunteers, have been conducted using two monochromatic radars BioRASCAN-24 developed in the Remote Sensing Laboratory at Bauman Moscow State Technical University. Each volunteer gave the informed consent prior the experiments, after that bioradar signals were recorded twice – in a default state and in a state of mental stress. In order to determine the optimal parameters for the bioradar data filtration, the acquired signals were processed using the Fourier transform. After that the signals were evaluated by 16 parameters in time and frequency domains. The Wilcoxon signed rank test showed the statistically significant differences in the analyzed data. Thus the bioradar method may be used to detect respiratory pattern changes due to mental workload.