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Heart Rate Extraction from Vowel Speech Signals 被引量:6

Heart Rate Extraction from Vowel Speech Signals
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摘要 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. 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.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2012年第6期1243-1251,共9页 计算机科学技术学报(英文版)
关键词 ELECTROCARDIOGRAM feature extraction heart rate short-tlme Fourier transform vowel speech signal electrocardiogram, feature extraction, heart rate, short-tlme Fourier transform, vowel speech signal
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