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Heart Rate Extraction from Vowel Speech Signals

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Abstract

This paper presents a novel non-contact heart rate extraction method from vowel speech signals. The proposed method is based on modeling the relationship between speech production of vowel speech signals and heart activities for humans where it is observed that the moment of heart beat causes a short increment (evolution) of vowel speech formants. The short-time Fourier transform (STFT) is used to detect the formant maximum peaks so as to accurately estimate the heart rate. Compared with traditional contact pulse oximeter, the average accuracy of the proposed non-contact heart rate extraction method exceeds 95%. The proposed non-contact heart rate extraction method is expected to play an important role in modern medical applications.

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Authors and Affiliations

  1. Computer Engineering Department, Faculty of Engineering Technology, Al-Balqa’ Applied University, Amman, Jordan

    Abdelwadood Mesleh, Dmitriy Skopin & Anas Quteishat

  2. Help MediCom Group, Kursk, Russia

    Sergey Baglikov

Authors
  1. Abdelwadood Mesleh
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  2. Dmitriy Skopin
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  3. Sergey Baglikov
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  4. Anas Quteishat
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Correspondence to Abdelwadood Mesleh.

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Mesleh, A., Skopin, D., Baglikov, S. et al. Heart Rate Extraction from Vowel Speech Signals. J. Comput. Sci. Technol. 27, 1243–1251 (2012). https://doi.org/10.1007/s11390-012-1300-6

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  • DOI: https://doi.org/10.1007/s11390-012-1300-6

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