Heartbeat Feature Extraction from Vowel Speech Signal Using 2D Spectrum Representation
نویسندگان
چکیده
ECG is a method using to measure the rate and regularity of heartbeats to detect any irregularity in a heart. ECG translates heart electrical activity into wave-line on paper or screen. Our investigations show that heartbeat modulation exists in human voice signal and can be extracted by transformations in frequency domain. In this paper, the 2D spectrum of human vowel speech will be used to extract the relevant ECG information, where 2D spectrum is a novel proposed method of signal feature extraction.
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