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Reseach Article

Modeling the Relationship between Heart Rate and Features of Vocal Frequency

by Motoki Sakai
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

@article{ 10.5120/21233-3986,
author = { Motoki Sakai },
title = { Modeling the Relationship between Heart Rate and Features of Vocal Frequency },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 6 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number6/21233-3986/ },
doi = { 10.5120/21233-3986 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:32.380867+05:30
%A Motoki Sakai
%T Modeling the Relationship between Heart Rate and Features of Vocal Frequency
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 6
%P 32-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
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
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Index Terms

Computer Science
Information Sciences

Keywords

Heart rate preventive healthcare vocal frequency modeling