| In recent years, with the rapid development of the biological sensing technology and the Internet of things technology, wearable health monitoring system has become a hot spot of research at home and abroad. Because of large volume, complex operation, inconvenient to carry, the use of traditional monitoring equipment is restricted. Wearable devices, by contrast, has small volume, light weight, low cost and easy to wear, and other characteristics, and thus has a broad space for development in terms of health monitoring. In the modern war, the soldier’s health status is more appreciated, and use a variety of technologies to reduce the soldiers’ casualty rate, in order to reduce losses of war. Quick acquiring of soldiers status of signs, facilitate timely arrangement for commanders, facilitate timely rescue the wounded soldiers for medical staff, so as to reduce casualties.In this thesis, the signs parameters detection algorithm is studied. For ECG R wave localization, by comparing advantages and disadvantages of the wavelet transform method and the differential threshold method, choose the differential threshold method to positioning R wave because of its smaller calculation; According to the characteristics of pulse wave signal, using the discriminant method of point by point positioning of maximum points and minimum points of PPG, working out the DC component and AC component, and calculating bleeding oxygen saturation value by the blood oxygen saturation equation; Identified by ECG R wave as the starting point of PWTT, by PPG signals the end of the first order differential maximum points as end point of PWTT to calculate PWTT value, and through the test of 10 volunteers using least square method to determine the blood pressure assessment model of 10 volunteers.In this thesis, a Head-mounted vital signs monitoring device was developed, the device can realize the monitoring of soldiers’ heart rate, blood oxygen saturation and blood pressure. Hardware device including hardware circuit board and blood oxygen acquisition headband. MSP430F1611 as the central processing unit of Hardware circuit, capture signal which sent by frequency converter to obtain two PPG of double color; The MCU program is to complete three parameters’ calculation of the heart rate, blood oxygen saturation and blood pressure, sent to the bluetooth module through a UART; Bluetooth module receives data, and transmits out by the module’s antenna. Blood oxygen acquisition headband is a black elastic, with fixed double color LED and optical frequency converters, as the blood oxygen probe, collect pulse wave signal.By testing 10 volunteers using the device, the experimental results show that the average heart rate detection error rate within 4%, the average error rate within 3% of oxygen saturation detection, SBP and DBP of blood pressure testing error average within the 5 mmHg, error standard deviation within the 7 mmHg, error of three parameters have reached the design requirements of this subject. This thesis finally test the performance of signs information collection device, the power consumption of this device is 205 mW, achieved the design requirements of low power consumption, and the charge and discharge function is normal. |
