Heart Rate and Respiratory Rate Measurement Using Body-Sound

Hiroyasu Miwa

doi:10.20965/jrm.2011.p0434

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JRM Vol.23 No.3 pp. 434-442

doi: 10.20965/jrm.2011.p0434

(2011)

Paper:

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Heart Rate and Respiratory Rate Measurement Using Body-Sound

Hiroyasu Miwa

Digital Human Research Center, National Institute of Advanced Industrial Science and Technology (AIST), AIST Waterfront 3F, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan

Received:

September 30, 2010

Accepted:

April 22, 2011

Published:

June 20, 2011

Keywords:

body-sound, sensor, heart rate, respiratory rate

Abstract

Daily stress management is essential for preventing mental illness. We have therefore been developing physiological signal sensors for measurement of multiple stress markers. The present study focused on “body-sound,” i.e., sound generated inside the human body, which included high amounts of information on physical condition. The prototype body-sound sensor we developed consisted of stethoscopes, amplifier microphones, an A/D converter and a PC. We measured body-sound in the neck and trunk. Then, we selected heart rate and respiratory rate as common stress markers. By comparing body-sound at different measurement positions, we developed new sensing system simultaneously measuring heart and respiratory rate with a body-sound sensor at the neck. Finally, we evaluated proposal performance by comparing body-sound and the electrocardiogram and respiratory waveform, confirming that our proposal could measure both heart and respiratory rate.

Cite this article as:

Hiroyasu Miwa, “Heart Rate and Respiratory Rate Measurement Using Body-Sound,” J. Robot. Mechatron., Vol.23, No.3, pp. 434-442, 2011.

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References

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This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] Ministry of Health, Labour and Welfare, “Patients Statistics,” 2006.

[2] [2] M. Ohsuga, F. Shimono, and H. Genno, “Assessment of Phasic Work Stress Using Autonomic Indices,” Int. J. of Psychophysiology, Vol.40, No.3, pp. 211-220, 2001.

[3] [3] K. Matsumura and Y. Sawada, “Cardiovascular Responses During Two Kinds of Mental Arithmetic Tasks,” The Japanese J. of Psychology, Vol.79, pp. 473-480, 2009.

[4] [4] B. M. Kudielka, A. Buske-Kirschbaum, D. H. Hellhammer, et al., “HPA Axis Responses to Laboratory Psychosocial Stress in Healthy Elderly Adults, Younger Adults, and Children: Impact of Age and Gender,” Psychoneuroendocrinology, Vol.29, No.1, pp. 83-98, 2004.

[5] [5] S. Izawa, N. Sugaya, N. Ogawa, et al., “Episodic Stress Associated with Writing a Graduation Thesis and Free Cortisol Secretion After Awakening,” Int. J. of Psychophysiol, Vol.64, No.2, pp. 141-145, 2007.

[6] [6] J. T. Cacioppo, L. G. Tassinary, and G. G. Berntson, “Handbook of Psychophysiology,” Cambridge University Press, pp. 193-194, 2007.

[7] [7] J. T. Cacioppo, L. G. Tassinary, and G. G. Berntson, “Handbook of Psychophysiology,” Cambridge University Press, pp. 235-237, 2007.

[8] [8] H.Miwa and K. Sakai, “Development of Heart Rate and Respiration Rate Measurement System,” Proc. of 9th Int. Conf. on Information Technology and Applications in Biomedicine, Fr.3-5-2, 2009.

[9] [9] R. Bussow, “An Algorithm for the Continuous Morlet Wavelet Transform,” Mechanical Systems and Signal Processing, Vol.21, pp. 2970-2979, 2007.

[10] [10] T. Anmen, T. Murosaki, N. Takaha, et al., “Fricative Inspection with Wavelet Analysis,” SICE Annual Conf. 2004, pp. 807-812, 2004.

[11] [11] J. B. Buckheit and D. L. Donoho, “Wavelab and reproducible research,” in Wavelets and Statistics, Springer, pp. 55-81, 1995.