Signal phase estimation for measurement of respiration waveform using a microwave Doppler sensor.

This paper proposes and compares five methods for phase estimation to measure slight change of chest movement with respiration using a dual type microwave Doppler sensor. A body direction to the sensor affects the performance of the respiration measurement, because microwave reflection is sensitive to the surface direction. The phase estimation from two sensor signals is the most important part to measure respiration.

Screening parameters of pulmonary and cardiovascular integrated model with sensitivity analysis.

Previously, we built a pulmonary and cardiovascular integrated model which is driven by O2 consumption. However this model is adjusted to average person and cannot correspond to individual difference. It needs parameter adjustment to be applied for simulation of a particular person.

Pulmonary and cardiovascular integrated model controlled with oxygen consumption.

We built a pulmonary and cardiovascugratedar inte- model which is driven by O2 consumption. The integrated model consists of a pulmonary model, a cardiovascular model, a gas exchange model, a respiratory control system model and a cardiovascular control model. To verify the integrated model, we calculated ventilations and cardiac outputs in different O2 consumptions and compared the results with literature values.