V.I. Mirgorodsky1, V.V. Gerasimov2, A.V. Gerus3, V.V. Dementienko4, E.M. Korablev5, A.P. Kundin6
1–3, 5, 6 Fryazino Branch, Kotelnikov Institute of Radio Engineering and Electronics RAS (Fryazino, Russia)
4 Kotelnikov Institute of Radio Engineering and Electronics RAS (Moscow, Russia)
1 vim510488@gmail.com, 2 vad_geras@mail.ru
There is a problem of determining the moments of falling asleep of operators whose work requires their continuous attention. Such requirements are often found in areas such as transport, energy, etc. In practice, such control is usually carried out by registering signals of pulse and breathing signals, which requires the placement of appropriate sensors on the operator's body, which in itself is not easy, and the presence of sensors makes it difficult for operators to move. Based on this, reducing the number of required sensors and creating sensor designs that are less burdensome for operators is, in our opinion, an important topical problem.
The aim of the work was to study the possibility of determining the state of falling asleep of the subject by the parameters of the acoustic signal taken from the temple of the subject. The use of such a lead when placing the sensor, for example, in a headgear, can be made not too burdensome for the subject. Pulse signals and signals reflecting the intensity of acoustic noise associated with breathing are separated from this signal by filtering. According to the changes in the parameters of these signals, the onset of the state of falling asleep is judged.
In the course of the work, 49 experiments were performed to record acoustic emission from the temporal regions of 13 subjects at rest lying with their eyes closed. The experiments consisted of two stages, lasting 15 minutes each. At the first stage, the subjects were motivated for mental work, consisting in pronouncing the multiplication table to themselves, and at the second stage of the experiments, the subjects were motivated for relaxation, often leading to falling asleep. The signals obtained in this way were averaged to provide an acceptable signal-to-noise ratio, and then they were subjected to frequency filtering in the ranges of 0.5 Hz - 30 Hz for heart rate detection and 300 Hz - 3 kHz for respiration signals detection. The received signals were subjected to analysis, as a result of which the ability of the subjects was determined.
As a result of the work, it was shown that it is possible to simultaneously record both the acoustic signals of the heart rate and the signals of respiratory sounds with sufficient quality for analysis from the temporal leads. The proposed method presents an advantage over the commonly used methods of separate recording of these signals, methodological simplicity, and the fact that the reception of acoustic emission from the temporal regions (or one temporal region) can be made with less burdening the subjects. Such control should, in our opinion, be of interest to professions associated with the need to maintain long-term attention.
Mirgorodsky V.I., Gerasimov V.V., Gerus A.V., Dementienko V.V., Korablev E.M., Kundin A.P. The use of acoustic signals received from the human head to detect falling asleep. Biomedicine Radioengineering. 2024. V. 27. № 1. Р. 36-43. DOI: https://doi.org/ 10.18127/j15604136-202401-05 (In Russian)
- Alda Marques A.O. Respiratory sounds in healthy people: A systematic review. Respiratory Medicine. 2014. V. 108. Is. 4. P. 550–570.
- Widjaja D., Taelman J., Vandeput S., Braeken M.A., Otte R.A., Van den Bergh B.R.H., Van Huffel S. ECG-Derived Respiration: Comparison and New Measures for Respiratory Variability. Computing in Cardiology. 2010. V. 37. P. 149−152.
- Taelman J., Vandeput S., Vlemincx E., Spaepen A., Van Huffel S. Instantaneous changes in heart rate regulation due to mental load in simulated office. European Journal of Applied Physiology. 2010.
- Borovkova E., Hramkov A., Dubinkina E., Karavaev A., Bezruchko B., Prokhorov M. Changes in the Interaction Between Brain Structures and Elements of the Autonomic Control of Blood Circulation During the Solution of Cognitive Tasks. 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA). Kaliningrad, Russian Federation. 2022.
- Dementiyenko V.V., Dorokhov V.B., Koreneva L.G., Markov A.G., Shakhnarovich V.M., Osobennosti elektrodermalnoy aktivnosti pri izmeneniyakh urovnya bodrstvovaniya cheloveka. Zhurnal Vysshey nervnoy deyatelnosti. 1999. T. 49. № 6. C. 926–935. (in Russian).
- Mirgorodskiy V.I., Gerasimov V.V., Gerus A.V., Dementiyenko V.V., Korablev E.M. Sootnosheniye elektrodermalnoy aktivnosti s akusticheskoy emissiyey iz visochnykh oblastey golovy cheloveka. Biomeditsinskaya radioelektronika. T. 25. № 6. 2022. S. 18–22. (in Russian).
- Zhdanov D.S., Bureev A.S., Khokhlova L.A., Seleznev A.I., Zemlyakov I.Yu. Short review of devices for detection of human breath sounds and heart tones. Biology and Medicine. V. 6 (3). P. 1–7.
- Kumar B.H. A fuzzy expert system design for analysis of body sounds and design of an unique electronic stethoscope (development of HILSA kit). Biosens Bioelectron. 2007. V. 22(6). P. 1121–1125.
- Mirgorodskiy V.I., Gerasimov V.V., Gerus A.V., Zhuchkova S.M. Registratsiya signalov dykhaniya cheloveka s visochnykh oblastey golovy. Akusticheskiy zhurnal. 2021. T 67. № 4. S. 450–453. (in Russian).
- Gerus A.V., Gerasimov V.V., Mirgorodskiy V.I., Korablev E.M., Akusticheskiye issledovaniya izmeneniya kharaktera dykhaniya pri umstvennoy deyatelnosti cheloveka. Radiotekhnika i elektronika. 2023. T. 68. № 3. S. 287–294. (in Russian).
- Mirgorodskiy V.I., Gerus A.V., Gerasimov V.V., Peshin S.V. Chuvstvitelnost akusticheskikh priyemnikov s plastinchatymi pyezopreobrazovatelyami zvukovogo — ultrazvukovogo diapazona. Uspekhi sovremennoy radioelektroniki. 2015. № 12. S. 3–8. (in Russian).