Data-Driven Environmental Health: Unraveling Particulate Matter Trends with Biometric Signals
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Feb 10, 2024
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Abstract
Human physiology is known to react to various environmental stimuli over different time frames. Prolonged exposure to elements such as heat, air pollution, and volatile organic compounds negatively affects health, as established in previous research. Our earlier work demonstrated that autonomic responses of the human body, recorded through biometric sensors on a single individual, could empirically predict levels of inhalable particulate matter in their immediate environment. This current study extends this finding to observations from multiple participants. Subjects cycled on stationary bikes outdoors, equipped with a range of biometric sensors, while environmental sensors simultaneously captured data on their surroundings. Using this expanded data set, machine learning models achieved a high degree of accuracy (R2=0.97) in predicting concentrations of particulate matter (PM2.5) using a few readily available biometric features, including skin temperature, heart rate, and respiration rate. This research underscores the importance of physiological responses as markers of exposure to particulate matter, laying the foundation for the use of biometric data in environmental health surveillance and real-time pollution assessment.
Keywords:
particulate matter, autonomic responses, machine learning
Article Details
How to Cite
FERNANDO, Bharana Ashen et al.
Data-Driven Environmental Health: Unraveling Particulate Matter Trends with Biometric Signals.
Medical Research Archives, [S.l.], v. 12, n. 1, feb. 2024.
ISSN 2375-1924.
Available at: <https://esmed.org/MRA/mra/article/view/4899>. Date accessed: 15 may 2024.
doi: https://doi.org/10.18103/mra.v12i1.4899.
Section
Research Articles
The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.
References
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[29] J. T. Cacioppo and L. G. Tassinary, Principles of psychophysiology: Physical, social, and inferential elements. Cambridge University Press, 1990.
[30] W. T. Roth, “Cardiovascular behavioral medicine,” Handbook of Psychophysiology, vol. 2, p. 4, 1984.
[31] A. C. Guyton and J. E. Hall, Textbook of Medical Physiology. Elsevier Saunders, 11 ed., 2006.
[32] S. K. Powers and E. T. Howley, Exercise Physiology: Theory and Application to Fitness and Performance. McGraw-Hill, 8 ed., 2012.
[33] G. J. Tortora and B. Derrickson, Principles of Anatomy and Physiology. John Wiley Sons, 12 ed., 2009.
[34] D. E. Mohrman and L. J. Heller, Cardiovascular Physiology. McGrawHill Education, 8 ed., 2018.
[35] R. D. Brook, B. Franklin, W. Cascio, Y. Hong, G. Howard, M. Lipsett,
R. Luepker, M. Mittleman, J. Samet, S. C. Smith, et al., “Cardiovascular effects of air pollution,” Circulation, vol. 109, no. 21, pp. 2655–2671, 2004.
[36] C. A. Pope III, D. W. Dockery, R. E. Kanner, G. M. Villegas, and J. Schwartz, “Heart rate variability, air pollution, and cardiovascular disease risk,” Air Quality, Atmosphere Health, vol. 113, no. 4, pp. 324– 332, 2006.
[37] J. Lelieveld, A. Haines, and A. Pozzer, “Air pollution and oxidative stress in cardiovascular diseases,” Frontiers in Public Health, vol. 7, p. 307, 2019.
[38] M. Boas, U. Feldt-Rasmussen, and K. M. Main, “Environmental endocrine disruptors: an evolutionary perspective,” The Journal of Clinical Endocrinology Metabolism, vol. 91, no. 6, pp. 2074–2080, 2006.
[39] C. A. Pope III and D. W. Dockery, “Air pollution and heart rate variability,” Circulation, vol. 109, no. 21, pp. e211–e211, 2004.
[40] A. Bhatnagar, “Environmental cardiology: studying mechanistic links between pollution and heart disease,” Circulation research, vol. 99, no. 7, pp. 692–705, 2006.
[41] W. J. Paulus and C. Tschope, “Endothelial dysfunction: a pathophysiologic factor in heart failure,” Circulation, vol. 116, no. 19, pp. 2034–2046, 2007.
[42] R. D. Brook, S. Rajagopalan, C. A. Pope III, J. R. Brook, A. Bhatnagar, A. V. Diez-Roux, F. Holguin, Y. Hong, R. V. Luepker, M. A. Mittleman, et al., “Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the american heart association,” Circulation, vol. 121, no. 21, pp. 2331–2378, 2010.
[43] J. B. West, Pulmonary Pathophysiology: The Essentials. Lippincott Williams Wilkins, 8 ed., 2012.