O.V. Melnik - Dr.Sc. (Eng.), Professor, Department of Information-Measurement and Biomedical Engineering, Ryazan State Radio Engineering University. E-mail: omela111@yandex.ru S.Yu. Panfilova - Under graduate Student Department of Information-Measurement and Biomedical Engineering Ryazan State Radio Engineering University. E-mail: panfilsu@gmail.com

Human respiratory system is very sensitive to changes in the functional status of the human body related to the physical, emotional or mental stress, allowing adaptation to the current environmental conditions. Now the use of respiratory rhythm parameters in the problem of estimation of the functional status of the body is not well defined, but a promising area of research. An analysis of existing methods for detecting respiratory signal was conducted, which showed that the direct, indirect and remote sensing can be used for tasks of the human condition monitoring during daily activity. To test the hypothesis about the possibility of using time parameters of the respiratory cycle phases data in solving the problem of the rapid assessment of the psycho-emotional status of a person in the course of its everyday activities were implemented software performing the registration and processing of the respiratory signal. A statistically significant difference in the average ratio of the total respiratory cycle time to time of inhalation for people who are in a state of emotional activity or under the influence of mental stress was show. The experimental study confirmed that the analysis of the timing of the respiratory cycle phases allows to use this data to assess the functional status of the organism.

 

1. Akulov S.A., Fedotov A.A. Metody i sredstva klinicheskogo monitoringa: Ucheb. posobie. Samara: Samarskijj gos. aehrokosmicheskijj un-t. 2014. 252 s.
2. Tarakanov S.A., Kuznecov V.I., Kuznecov A.O. Dlitelnyjj monitoring dykhanija cheloveka // Inzhenernyjj vestnik Dona. 2013. № 4.
3. Poleznaja model № 67424, A61B5/08. Portativnyjj apparat registracii ehpizodov apnoeh.
4. Bailon R., Sornmo L., Laguna P. A robust method for ecg-based estimation of the respiratory frequency during stress testing // IEEE transactions on biomedical engineering. 2006. V. 53(7). R. 1273-1285.
5. Kiran et al. PPG Signal for Extraction of Respiratory Activity and HR Monitoring of CHF Patients. International Journal of Advanced Research in Computer Science and Software Engineering 4(1). January - 2014. P. 659-666.
6. Anishhenko L.N. Razrabotka tekhnologii i programmno-apparatnogo kompleksa bioradiolokacionnogo monitoringa dvigatelnojj aktivnosti, dykhanija i pulsa: Diss. ... kand. tekhn. nauk. M. 2009.
7. Alekhin M.D., Anishhenko L.N., ZHuravlev A.V., Ivashov S.I., Korostovceva L.S., Svirjaev JU.V., Konradi A.O., Parashin V.B., Bogomolov A.V. Issledovanie diagnosticheskojj informativnosti bioradiolokacionnojj pnevmografii v beskontaktnom skrininge sindroma apnoeh vo sne // Medicinskaja tekhnika. 2013. № 2. S. 36-38.
8. Immoreev I. UWB Radar for Patient Monitoring // IEEE A&E Systems Magazine. 2008. V. 23. № 11. P. 11-18.
9. Patwari N. et. al. Breathfinding: A wireless network that monitors and locates breathing in a home. Selected Topics in Signal Processing // IEEE Journal of. 2014. V. 8. № 11.
10. Patent № 2470581 (RF). Sposob registracii ritmov dykhanija i serdcebienija pacienta i ustrojjstvo dlja ego osushhestvlenija.
11. Proshin E.M., Grigorev E.M., Gurzhin S.G., Krjakov V.G., Kirjakov O.V.. Metody i tekhnicheskie sredstva operativnojj diagnostiki, sinkhronizacii i biotekhnicheskojj obratnojj svjazi v kompleksnojj magnitoterapii // v kn.: Kompleksnaja magnitoterapija. M.: Radiotekhnika. 2010. S. 155-157.
12. Wu H.-Y., Rubinstein M., Shih E., Guttag J., Durand F., and Freeman W. Eulerian video magnification for revealing subtle changes in the world // ACM SIGGRAPH 2012. V. 31. № 4.
13. Fadel Adib, Hongzi Mao, Kabelac Z., Katabi D., Miller R.C. Smart Homes that Monitor Breathing and Heart Rate. CHI\'15, Seoul, South Korea, April 2015.
14. Vajjnshtejjn L.A., Polikarpov V.A., Fupmanov I.A. Obshhaja psikhologija: Uchebnik. Minsk: Sovremennaja shkola. 2009. 512 s.