On Human Autonomic Nervous Activity Related to Weather Conditions Based on Big Data Measurement via Smartphone

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DOI: 10.4236/health.2016.89093    954 Downloads   1,303 Views  

ABSTRACT

This research uses our previously-developed smartphone camera-based heart rate change analysis system to survey the correlation between weather patterns and the autonomic nervous activity across a big data set of approximately 200,000 entries. The results showed a trend in which a significant decrease was seen in sympathetic nervous activity in both males and females—the higher the temperature. In addition, a significant increase was seen in the sympathetic nervous system in both males and females—the higher the atmospheric pressure. Lastly, a significant decrease was seen in the sympathetic nervous system in both males and females—the more precipitation there was. These results accord with prior research and with human biological phenomena, and we were able to use a data set of approximately 200,000 entries to statistically demonstrate our hypothesis. We believe this represents a valuable set of reference data for use in the health care.

Cite this paper

Komazawa, M. , Itao, K. , Kobayashi, H. and Luo, Z. (2016) On Human Autonomic Nervous Activity Related to Weather Conditions Based on Big Data Measurement via Smartphone. Health, 8, 894-904. doi: 10.4236/health.2016.89093.

References

[1] Onaka, T. (2005) Stress and Its Neural Mechanisms. Journal of Pharmacological Sciences, 126, 170-173.
[2] Itao, K. and Komazawa, M. (2015) Wearable Device Applications and Technology Tends. Japan Institute of Electronics Packaging, Special Issue, 18, 384-389.
[3] Union Tool Co. (2013) Wearable Heart Rate Sensor WHS-1.
http://uniontool.co.jp/product/sensor/index_02.html
[4] WIN Frontier Co. Ltd. (2013) Lifescore Quick.
http://www.winfrontier.com/lifescorequick.html
[5] Fumio, M., et al. (2001) Basic Research to Estimate Athlete’s Psychological Stress Responses by Digital Plethysmography. Research Bulletin, 29, 87/102.
[6] Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. (1996) Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation, 93, 1043-1065.
http://dx.doi.org/10.1161/01.CIR.93.5.1043
[7] Mikio, H. (2010) Spectral Analysis. AsakuraPub, Tokyo.
[8] Komazawa, M., Itao, K. and Luo, Z. (2015) Development of Heart Rate Variability Analysis System Using a Smart-Phone Camera. 20th Poster Presentation Collection of the Academy of Human Informatics, 19-20.
[9] Kobayashi, H. (2016) COCOLOLO: Autonomic Nervous System Are Complete by the Stress Check of the Heart in 30 Seconds. GOMA BOOK Co., Ltd.
http://www.goma-books.com/archives/36436
[10] WIN Frontier Co., Ltd. (2015r) COCOLOLO—Check 8 Types of Feelings with the Fluctuation of the Heart Rate.
https://itunes.apple.com/jp/app/cocololo-cafe-kimochishea/id973325431?mt=8&ignmpt=uo%3D4
[11] WIN Frontier Co., Ltd. (2015) COCOLOLO Heart Furnace-Stress Check Using the Fluctuation of Heart Rate.
https://play.google.com/store/apps/details?id=com.winfrontier.COCOLOLO&hl=ja
[12] Komazawa, M., Itao, K. and Luo, Z. (2015) The Relationship between Autonomic Nervous System and Age, BMI Based on about 100,000 of Measurement Data. 21st Poster Presentation Collection of the Academy of Human Informatics, 24-25.
[13] Komazawa, M., Itao, K. and Luo, Z. (2015) The Relationship between Autonomic Nervous System and Circadian rhythm Based on about 100,000 of Measurement Data. 22nd Poster Presentation Collection of the Academy of Human Informatics, 14-15.
[14] Okada, M. and Kakehashi, M. (2014) Effects of Outdoor Temperature on Changes in Physiological Variables before and after Lunch in Healthy Women. International Journal of Biometeorology, 58, 1973-1981.
[15] Ren, C., O’Neill, M.S., Park, S.K., Sparrow, D., Vokonas, P. and Schwartz, J. (2011) Ambient Temperature, Air Pollution, and Heart Rate Variability in an Aging Population. American Journal of Epidemiology, 173, 1013-1021.
[16] Japan Meteorological Agency.
http://www.data.jma.go.jp/gmd/risk/obsdl/
[17] Japan Meteorological Agency.
http://www.jma.go.jp/jma/kishou/know/yougo_hp/kion.html
[18] Yukishita, T., Lee, K., Kim, S., Yumoto, Y., Kobayashi, A., Shirasawa, T. and Kobayashi, H. (2010) Age and Sex-Dependent Alterations in Heart Rate Variability: Profiling the Characteristics of Men and Women in Their 30s. Anti-Aging Medicine, 7, 94-99.
http://dx.doi.org/10.3793/jaam.7.94
[19] Kobayashi, H. (2011) Why “This” Is of Good Health? Sunmark Publishing Inc.
[20] Fukuda, M., Moroda, T., Toyabe, S., Iiai, T., Kawachi, Y., Takahashi, H., Iwanaga, T., Okada, M. and Abo, T. (1996) Granulocytosis Induced by Increasing Sympathetic Nerve Activity Contributes to the Incidence of Acute Appendicitis. Biomedical Research, 17, 171-181.
http://dx.doi.org/10.2220/biomedres.17.171
[21] Yukiokaetc, M. (2010) Effect of Changes of Atmospheric Pressure on the Autonomic Nervous of Rheumatoid Arthritis. Clinical Rheumatology, 22, 32-36.
[22] Fechtali, T, Abraini, J.H., Kriem, B. and Rostain, J.C. (1994) Pressure Increases de Novo Synthesized Striatal Dopamine Release in Free-Moving Rats. Neuroreport, 5, 725-728.
http://dx.doi.org/10.1097/00001756-199402000-00017

  
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