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Short Term Fourier Transform과 Principal Component Analysis를 이용한 음성신호기반 심박 수 검출 알고리즘
허수인(Sooin Huh),육범진(Bumjin Youk),김병설(Byeongseol Kim),배준성(Joonsung Bae) 대한전자공학회 2018 대한전자공학회 학술대회 Vol.2018 No.11
The heart rate detection algorithm through the voice signal by combining short-term Fourier transform (STFT) and principal component analysis (PCA) methods is presented for non-contact physiological signal acquisition applications. The voice signal passes through the vocal cords consists of muscles, so the heart rate signal is modulated and output. It is possible to improve the inconvenience use of the existing contact type bio-signal detecting device using ECG and PPG. The STFT extracts the signals at various frequencies as it changes over time. Then the formants, ranges of frequencies in which there is a relative maximum in the signal spectrum, is detected to apply them to the PCA algorithm. The PCA separates heart rate signals from the unwanted interferers to calculate the heart rate. The proposed algorithm is verified by comparing it with the PPG-based heart rate detection, resulting in less than 10% error.