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Reseach Article

Feasibility Study on Blood Pressure Estimations from Voice Spectrum Analysis

by Motoki Sakai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 7
Year of Publication: 2015
Authors: Motoki Sakai
10.5120/19204-0848

Motoki Sakai . Feasibility Study on Blood Pressure Estimations from Voice Spectrum Analysis. International Journal of Computer Applications. 109, 7 ( January 2015), 39-43. DOI=10.5120/19204-0848

@article{ 10.5120/19204-0848,
author = { Motoki Sakai },
title = { Feasibility Study on Blood Pressure Estimations from Voice Spectrum Analysis },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 7 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number7/19204-0848/ },
doi = { 10.5120/19204-0848 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:12.503333+05:30
%A Motoki Sakai
%T Feasibility Study on Blood Pressure Estimations from Voice Spectrum Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 7
%P 39-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently, preventive healthcare has attracted increased attention. Because of a demonstrable mortality rate, hypertension is a disease that should be prevented before it becomes severe. To decrease the mortality rate for hypertension, it is desirable for people to measure their own blood pressure (BP) on a routine basis. At present, many ambulatory BP gauges are available. Yet, it is unlikely that people will carry around an ambulatory BP gauge to measure their BP, even among those with a high risk of illness. Such methods are therefore ineffective for preventive healthcare. Therefore, it would be preferable to measure information related to BP easily and without a dedicated gauge. In this research, a BP estimation method is proposed using voice-spectrum analysis. If BP estimations from the voice spectrum are accurate, we may be able to measure BP with a smartphone's voice recorder. To evaluate the feasibility of such BP estimations, two subjects' BPs and voice data were measured, and the correlation coefficients were examined. Results showed that both diastolic and systolic BPs and the spectral component of the voice were not non-correlated ( > |0. 6|) at specific frequency bands. To estimate BP levels, a support-vector machine was proposed, and the correlation coefficients between measured and estimated BPs exceeded 0. 9. However, individual differences in the voice spectrum were not adequately addressed. In future research, individual differences will be investigated in a study involving more subjects.

References
  1. M. Lida, K. Ueda, A. Okayama, K. Kodama, K. Sawai , S. Shibata, S. Tanaka, T. Keijnkai, H. Horibe, M. Minowa, H. Yanagawa, and T. Hashimoto, "Impact of elevated blood pressure on mortality from all causes, cardiovascular diseases, heart disease and stroke among Japanese: 14 year follow-up of randomly selected population from Japanese – Nippon data 80," J Hum Hypertens, vol. 17, no. 12, pp. 851-857, 2003.
  2. G. Celik, H. Tireli, and H. Narci, "The Impact of Initial Blood Pressure on Early Motality of Patients Suffering an Acute Stroke, " J Neurol Transl Neurosci, vol. 2, no. 1, pp. 1031-1035, 2013.
  3. K. Dasgupta, R. R. Quinn, K. B. Zarnke, D. M. Rabi, P. Ravani, S. S. Daskalopoulou, S. W. Rabkin, L. Trudeau, R. D. Feldman, L. Cloutier, A. Prebtani, R. J. Herman, S. L. Bacon, R. E. Gilbert, M. Ruzicka, D. W. McKay, T. S. Campbell, S. Grover, G. Honos, E. L. Schiffrin, P. Bolli, T. W. Wilson, P. Lindsay, M. D. Hill, S. B. Coutts, G. Gubitz, M. Gelfer, M. Vallée, G. V. R. Prasad, M. Lebel, D. McLean, J. M. O. Arnold, G. W. Moe, J. G. Howlett
  4. Walter N. Kernan, Chair, Bruce Ovbiagele, Henry R. Black, Dawn M. Bravata, Marc I. Chimowitz, Michael D. Ezekowitz, Margaret C. Fang, Marc Fisher, Karen L. Furie, Donald V. Heck, S. Claiborne (Clay) Johnston, Scott E. Kasner, Steven J. Kittner, Pamela H. Mitchell, Michael W. Rich, DeJuran Richardson, Lee H. Schwamm, and John A. Wilson, "Guidelines for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack," American Heart Association/American Stroke Associa
  5. D. Gasperin, G. Netuveli, J. S. Dias-da-Costa, and M. P. Pattussi, "Effect of psychological stress on blood pressure increase: a meta-analysis of cohort studies, " Cad. Saúde Pública, vol. 25, no. 4, pp. 715-726, 2009.
  6. K. Chang, D. Fisher, and J. Canny, "AMMON: A Speech Analysis Library for Analyzing Affect, Stress, and Mental Health on Mobile Phones," Proceedings of the 2nd International Workshop on Sensing Applications on Mobile Phones, 2011.
  7. M. O. Mendez, J. Corthout, S. Van Huffel, M. Matteucci, T. Penzel, S. Certti, and A. M. Bianchi, "Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis," Physiol Meas, vol. 31 no. 3, pp. 273-289, 2010.
  8. D. Basak, S. Pal, and D. C. Patranabis, "Support Vector Regression," Neural Information Processing, vol. 10, no. 10, pp. 203-224, 2007.
  9. V. N. Vapnik, "Statistical learning theory," In A. Gammerman, editor, Computational Learning and Probabilistic Reasoning. Wiley, 1996.
  10. C. Saunders, A. Gammerman, and V. Vovk, "Ridge Regression Learning Algorithm in Dual Variables," Proceedings of the 15th International Conference on Machine Learning, ICML'98, pp. 515-521, 1998.
  11. M. Lida, K. Ueda, A. Okayama, K. Kodama, K. Sawai , S. Shibata, S. Tanaka, T. Keijnkai, H. Horibe, M. Minowa, H. Yanagawa, and T. Hashimoto, "Impact of elevated blood pressure on mortality from all causes, cardiovascular diseases, heart disease and stroke among Japanese: 14 year follow-up of randomly selected population from Japanese – Nippon data 80," J Hum Hypertens, vol. 17, no. 12, pp. 851-857, 2003.
  12. G. Celik, H. Tireli, and H. Narci, "The Impact of Initial Blood Pressure on Early Motality of Patients Suffering an Acute Stroke, " J Neurol Transl Neurosci, vol. 2, no. 1, pp. 1031-1035, 2013.
  13. K. Dasgupta, R. R. Quinn, K. B. Zarnke, D. M. Rabi, P. Ravani, S. S. Daskalopoulou, S. W. Rabkin, L. Trudeau, R. D. Feldman, L. Cloutier, A. Prebtani, R. J. Herman, S. L. Bacon, R. E. Gilbert, M. Ruzicka, D. W. McKay, T. S. Campbell, S. Grover, G. Honos, E. L. Schiffrin, P. Bolli, T. W. Wilson, P. Lindsay, M. D. Hill, S. B. Coutts, G. Gubitz, M. Gelfer, M. Vallée, G. V. R. Prasad, M. Lebel, D. McLean, J. M. O. Arnold, G. W. Moe, J. G. Howlett
  14. Walter N. Kernan, Chair, Bruce Ovbiagele, Henry R. Black, Dawn M. Bravata, Marc I. Chimowitz, Michael D. Ezekowitz, Margaret C. Fang, Marc Fisher, Karen L. Furie, Donald V. Heck, S. Claiborne (Clay) Johnston, Scott E. Kasner, Steven J. Kittner, Pamela H. Mitchell, Michael W. Rich, DeJuran Richardson, Lee H. Schwamm, and John A. Wilson, "Guidelines for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack," American Heart Association/American Stroke Associa
  15. D. Gasperin, G. Netuveli, J. S. Dias-da-Costa, and M. P. Pattussi, "Effect of psychological stress on blood pressure increase: a meta-analysis of cohort studies, " Cad. Saúde Pública, vol. 25, no. 4, pp. 715-726, 2009.
  16. K. Chang, D. Fisher, and J. Canny, "AMMON: A Speech Analysis Library for Analyzing Affect, Stress, and Mental Health on Mobile Phones," Proceedings of the 2nd International Workshop on Sensing Applications on Mobile Phones, 2011.
  17. M. O. Mendez, J. Corthout, S. Van Huffel, M. Matteucci, T. Penzel, S. Certti, and A. M. Bianchi, "Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis," Physiol Meas, vol. 31 no. 3, pp. 273-289, 2010.
  18. D. Basak, S. Pal, and D. C. Patranabis, "Support Vector Regression," Neural Information Processing, vol. 10, no. 10, pp. 203-224, 2007.
  19. V. N. Vapnik, "Statistical learning theory," In A. Gammerman, editor, Computational Learning and Probabilistic Reasoning. Wiley, 1996.
  20. C. Saunders, A. Gammerman, and V. Vovk, "Ridge Regression Learning Algorithm in Dual Variables," Proceedings of the 15th International Conference on Machine Learning, ICML'98, pp. 515-521, 1998.
Index Terms

Computer Science
Information Sciences

Keywords

Preventive health Blood pressure Voice spectrum Estimation Support vector machine