Heart Rate Extraction from Vowel Speech Signals

A Simple Approach for Heart Rate Monitoring Using Adaptive Filters

“…In [10], authors proposed a method for the detection of heart rate from human speech based on the modeling of vowel speech signals. The non contact method for the detection of heart rate from human speech is based on the modeling the relationship between speech production of vowel speech signals and heart activities for humans.…”

“…The heart is a muscular pump made up of four chambers. The two upper chambers are called atria, and the two lower chambers are called ventricles [2].The electrical activity of the heart is generally sensed by monitoring electrodes placed on the skin surface. The electrical signal is very small (normally 0.0001 to 0.003 volt).…”

Modeling the Relationship between Heart Rate and Features of Vocal Frequency

“…In previous research, several algorithms to estimate HR from vocal frequency have been presented [4,5,6,7,8,9]. Research papers [4,5], and [6] present HR estimation methods by using machine learning algorithms, such as the support vector machine (SVM).…”

“…In [7], HR is expressed as a multivariate function of statistics, including entropy and standard deviation of vocal signal, but the reason why HR is expressed as a multivariate function of statistics is not clear. Research papers [8,9] focus on fluctuations synchronized with R-waves of the ECG signal in the speech spectrogram. In [8], HR is roughly estimated by image processing for 2D images of speech spectrogram.…”

“…In [8], HR is roughly estimated by image processing for 2D images of speech spectrogram. In [9], researchers have chosen the component of vocal frequency that is most affected by R-waves on onedimensional scanning of the speech spectrogram; this allowed them to estimate HR with high accuracy. As described above, [4,5,6,7] do not explain the relationship between HR and voice, while [8,9] present methods for R-wave detection in the speech spectrogram.…”