The week's pick
Random Articles
Reseach Article
Modeling the Relationship between Heart Rate and Features of Vocal Frequency
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 6 |
| Year of Publication: 2015 |
| Authors: Motoki Sakai |
10.5120/21233-3986
|
Motoki Sakai . Modeling the Relationship between Heart Rate and Features of Vocal Frequency. International Journal of Computer Applications. 120, 6 ( June 2015), 32-37. DOI=10.5120/21233-3986
Abstract
Heart rate (HR) is an informative index to assess one's physical condition from the viewpoint of preventive healthcare; it is beneficial if information of HR can easily be obtained without a particular clinical instrument. In this research, voice data was used to estimate HR, because it can easily be recorded using a common device such as smartphone. To evaluate the feasibility of HR estimation using recorded voice, experiments were conducted with two subjects. In the experiment, 60 sets of HRs and voice data were measured per subject. A correlation between HR and the vocal frequency was observed, and the feasibility of HR estimation using voice data was confirmed. The relationship between HR and voice data was modeled using a polynomial function of vocal frequency. Using the proposed model, HR could be estimated with high correlation coefficients and small estimation errors.
References
- A. Halpern, MC. Mancini, ME. Magalhães, M. Fisberg, R. Radominski, MC. Bertolami, A. Bertolami, ME. de Melo, MT. Zanella, MS. Queiroz and M. Nery, "Metabolic syndrome, dyslipidemia, hypertension and type 2 diabetes in youth: from diagnosis to treatment, " Diabetology & Metabolic Syndrome, 2010.
- MH. Davenport, S. Charlesworth, D. Vanderspank, MM. Sopper and MF. Mottola, "Development and validation of exercise target heart rate zones for overweight and obese pregnant women, " Applied Physiology, Nutrition, and Metabolism. , vol. 33, no. 5, pp. 984-989, 2008.
- SC. Franckowiak, DA. Dobrosielski, SM. Reilley, JD. Walston and RE. Andersen, "Maximal heart rate prediction in adults that are overweight or obese, " The Journal of Strength & Conditioning Research, vol. 25, no. 5, pp. 1407–1412, 2011.
- J. Hada and Y. Takeuchi, "Evaluation of mental stress by voice analysis during simulated landing, " The Japanese Journal of Ergonomics, vol. 44, No. 3, pp. 171–174, 2008.
- B. Schuller, F. Friedmann and Florian Eyben, "The Munich Biovoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production, " Proceedings of the Ninth International Conference on Language Resources and Evaluation, pp. 1506–1510, 2014.
- B. Schuller, F. Friedmann and Florian Eyben, "Automatic Recognition of Physiological Parameters in the Human Voice: Heart Rate and Skin Conductance, " Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 7219–7223 2013.
- J. Kaur and R. Kaur, "Extraction of Heart Rate Parameters Using Speech Analysis, " International Journal of Science and Research, vol. 3 issue 10, pp. 1374–1376, 2014.
- D. Skopin and S. Baglikov, "Heartbeat feature extraction from vowel speech signal using 2D spectrum representation, " Proceedings of the 4th International Conference Information Technology, June 2009.
- A. Mesleh, D. Skopin, S. Baglikov and Anas Quteishat, "Heart Rate Extraction from Vowel Speech Signals, " Journal of computer science and technology, vol. 27, no. 6, pp. 1243–1251, 2012.
- M. Sakai, "Feasibility Study on Blood Pressure Estimations from Voice Spectrum Analysis, " International Journal of Computer Applications, vol. 109, no. 7, pp. 39 –43, 2015.
Index Terms
Keywords