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A novel autonomic activation measurement method for stress monitoring: non-contact measurement of heart rate variability using a compact microwave radar

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Abstract

We developed a novel method for non-contact monitoring of stress-induced autonomic activation through the back of a chair, using a compact 24 GHz microwave radar (8 × 5 × 3 cm), without large-scale equipment and placing a heavy burden on the monitored individual. Following a silent period of 120 s, audio stimuli using a composite tone of 2,120 and 2,130 Hz sine-waves at 95 dB were conducted for 120 s. From dorsal, LF/HF of HRV reflecting sympatho-vagal balance was determined by microwave radar with the maximum entropy method using eight volunteers (mean age 23 ± 1 years). Mean LF/HF measured by non-contact and contact (using electrocardiography for reference) methods during audio stimuli increased 34 and 37%, respectively, as compared with those of the silent period. Maximum cross-correlations between contact and non-contact measurements averaged 0.73 ± 0.10. Our method appears to be promising for future monitoring of stress-induced autonomic activation of operators and may reduce stress-induced accidents.

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References

  1. Horii A, Yamamura C, Katsumata T, Uchiyama A (2004) Physiological response to unpleasant sounds. J Int Soc Life Info Sci 22(2):536–541

    Google Scholar 

  2. Kikuchi M, Ishihara M, Matsui T et al (2004) Biomedical engineering’s contribution to defending the homeland. IEEE Eng Med Biol Mag 23:175–186

    Article  Google Scholar 

  3. Korach M, Sharshar T, Jarrin I et al (2001) Cardiac variability in critically ill adults: influence of sepsis. Crit Care Med 29:1380–1385

    Article  Google Scholar 

  4. Matsui T, Hagisawa K, Ishizuka T et al (2004) A novel method to prevent secondary exposure of medical and rescue personnel to toxic materials under biochemical hazard conditions using microwave radar and infrared thermography. IEEE Trans Biomed Eng 51:2184–2188

    Article  Google Scholar 

  5. Matsui T, Ishizuka T, Takase B et al (2004) Non-contact determination of vital sign alterations in hypovolemic states induced by massive hemorrhage: an experimental attempt to monitor the condition of injured persons behind barriers or under disaster rubble. Med Biol Eng Comput 42:807–811

    Article  Google Scholar 

  6. Min SD, Yoon DJ, Yoon SW, Yun YH, Lee M (2007) A study on a non-contacting respiration signal monitoring system using Doppler ultrasound. Med Biol Eng Comput (in press)

  7. Ostrowski VB, Byskosh A, Hain TC (2002) Tullio phenomenon with dehiscence of the superior semicircular canal. Otol Neurotol 22(1):61–65

    Article  Google Scholar 

  8. Perini R, Veicsteinas A (2003) Heart rate variability and autonomic activity at rest and during exercise in various physiological conditions. Eur J Appl Physiol 90(3–4):317–325

    Article  Google Scholar 

  9. Pontet J, Contreras P, Curbelo A et al (2003) Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients. J Crit Care 18:156–163

    Article  Google Scholar 

  10. Richter S, Schaefer A, Menger MD et al (2005) Mapping of the cardiac sympathetic nervous system by single photon emission tomography with technetium-99 m-labeled fluorobenzylpiperidine derivative(99mTc-FBPBAT): result of a feasibility study in a porcine model and an initial dosimetric estimation in humans. Nucl Med Commun 26(4):361–368

    Article  Google Scholar 

  11. Rozanski A, Blumenthal JA, Kaplan J (1999) Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation 99(16):2192–2217

    Google Scholar 

  12. Ruediger H, Seibt R, Scheuch K et al (2004) Sympathetic and parasympathetic activation in heart rate variability in male hypertensive patients under mental stress. J Hum Hypertens 18(5):307–315

    Article  Google Scholar 

  13. Taylor AH, Dorn L (2006) Stress, fatigue, health, and risk of road traffic accidents among professional drivers: the contribution of physical inactivity. Annu Rev Public Health 27:371–391

    Article  Google Scholar 

  14. Tuininga YS, Crijns HJ, Brouwer J et al (1995) Evaluation of importance of central effects of atenolol and metoprolol measured by heart rate variability during mental performance tasks, physical exercise, and daily life in stable postinfarct patients. Circulation 15 92(12):3415–3423

    Google Scholar 

  15. Uenoyama M, Matsui T, Yamada K, Suzuki S, Takase B, Suzuki S, Ishihara M, Kawakami M (2006) Non-contact respiratory monitoring system using a ceiling-attached microwave antenna. Med Biol Eng Comput 44(9):835–840

    Article  Google Scholar 

  16. Zheng JW, Zhang ZB, Wu TH, Zhang Y (2007) A wearable mobihealth care system supporting real-time diagnosis and alarm. Med Biol Eng Comput 45(9):877–885

    Article  Google Scholar 

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Correspondence to Takemi Matsui.

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Suzuki, S., Matsui, T., Imuta, H. et al. A novel autonomic activation measurement method for stress monitoring: non-contact measurement of heart rate variability using a compact microwave radar. Med Biol Eng Comput 46, 709–714 (2008). https://doi.org/10.1007/s11517-007-0298-3

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  • DOI: https://doi.org/10.1007/s11517-007-0298-3

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