A convenient pulmonary volume and flow detection system.

The pulmonary function test (PFT) is a widely used test in patients or for those who are at risk of respiratory dysfunction. In this study, we aimed to develop a more convenient system, namely, the impedance pulmonary function measurement system (IPFS), for overcoming the restrictions posed by the prevalent spirometric PFT. IPFS employs tetra polar electrodes that can measure pulmonary function using the subjects' hands alone. The impedance measured by IPFS extracts AC values of pulmonary impedance from DC values of body impedance in respiration. This system yields changes in the impedance of volume and flow. In order to verify IPFS, we compared the continuous waveforms obtained from the PFT module and developed IPFS using Pearson linear correlation coefficients (p < 0.01) for volume and flow. Further, we evaluated the potential application of IPFS for detecting pulmonary functions such as volume (FEV(1)/FVC Ratio) and flow (PEF), and compared the measured parameters between IPFS and spirometric PFT. Our results demonstrate that the measurements obtained using IPFS reflect pulmonary function parameters.

Development of bio-signal measurement system for sports healthcare.

The purpose of this study is to determine an individual physiological signal and based on the information; develop equipment that will encourage the efficiency of exercise. To evaluate the practical use of equipment an experiment is carried out. The signal of twenty adult male is determined under condition of Exercise Stress Test. Measured physiological signals are ECG from ears, chest (Lead I), PPG from earlap, activity from ear and arm, and the body skin temperature of arm. For ECG data, there are two signals: one is ear-arm signal, and the other is chest (Lead I) signal. When compare those two, ear-arm detection rate shows 92.08% detection, and 93.13% at chest. The error rate occurred average 0.035(+/-0.014) seconds and 0.026(+/-0.017) seconds. For PPG, we can reduce the influence of motion artifact by Autocorrelation method, and as a result, peak detection rate increased from 94.3% to 98.4%, decreased the error rate with 0.058+/-0.076 to 0.023+/-0.031, Also, we certified that if the speed and elevation of the treadmill increase, physical activity increase, and the body temperature gets decreased. Upon this consequence, we developed a physiological data acquisition system that is convenient to user while they are exercising.