Design a bio-signal automatic measurement analysis and warning system for the long-term health care of severe disabled

This study designed a bio-signal automatic measurement analysis and warning system for the severe disabled in the long-term health care, that including a fuzzy threshold algorithm to adjust the threshold of peak detection for ECG and PPG signal that the accuracy of thirty experiment data are higher than 97% and a PTT-BP model to estimate the continue-blood pressure (BP) that is a cuff-off technology. Through the vital parameters (BP, heart rate variability (HRV), SPO2) by this system provides, the health care workers will be able to make the most appropriate treatment for patients, when the system sends alert notifications.