Heart disease is known to be one of the primary causes of death worldwide. In the United States, the disease is the leading cause of death for people of most ethnic-ities. In Indonesia, the disease contributes 17% of the total mortality. It is also well-known that a regular or continuous monitoring the heart rate is necessary to minimize the fatality. At the current technological state, the monitoring method is expensive and often requires a wearable sensor, which is inconvenient. This study intends to establish a relationship between the heart rate and speech signals empirically by using regression and correlation analysis. The speech signals are analyzed through a frequency analysis using fast Fourier transform. The results suggest that vowel 'e' speech signal has a strong correlation to the heart rate.

This study presents a cardiovascular simulator that mimics the human cardiovascular system's physiological structure and properties to reproduce the human blood pressure waveform. Systolic, diastolic blood pressures, and its waveform are key indicators of cardiovascular health. The blood pressure waveform is closely related to the pulse wave velocity and the overlap of the forward and reflected pressure waves. The presented cardiovascular simulator includes an artificial aorta made of biomimetic silicone. The artificial aorta has the same shape and stiffness as the human standard and is encased with a compliance chamber. The compliance chamber prevents distortion of the blood pressure waveform from strain-softening by applying extravascular pressure. The blood pressure waveform reproduced by the simulator has a pressure range of 80–120 mmHg, a pulse wave velocity of 6.58 m/s, and an augmentation index of 13.3%. These values are in the middle of the human standard range, and the ...