In this paper, a joint algorithm based on variational mode decomposition (VMD) algorithm and White Shark Optimizer (WSO) algorithm is proposed for non-contact vital signs detection. First, the phase information is obtained from the radar echo signal. Then, the respiratory and heartbeat components are separated using a bandpass filter. The separated respiratory component is processed by second-order differencing. At the same time, the heart rate is estimated by decomposing the separated heartbeat component using WSO-VMD. WSO algorithm makes VMD algorithm parameters adaptive, and filters out breathing harmonics from interfering with the heartbeat. Compared with the bandpass filtering method, the VMD method, and the WOA-VMD method, the mean relative error (MRE) is reduced by 3.61%, 2.99%, and 2.38% respectively. Therefore, the method in this paper can improve the detection accuracy.
A multi-objective optimal design scheme for tolerance combination based on improved NSGA-II algorithm is established to reduce the production cost, standardize the tolerance design and improve the qualification rate of the rear cover of a product. The production cost function and quality loss function are used as the objective function, and the genetic algorithm with elite strategy and improved genetic variation factor is used to optimize the simulation of the assembly tolerance combination and obtain the optimal Pareto solution set. The results of the tolerance combination show that the optimized assembly tolerance combination is used to reduce both production cost and quality loss cost.
KEYWORDS: Blood pressure, Oxygen, Heart, Blood, Sensors, LCDs, Voltage controlled current source, Signal detection, Data storage, Blood oxygen saturation
With the rapid development of social economy, people pay more and more attention to physical health problems. Heart rate detection, blood oxygen detection and blood pressure detection are important basis for cardiac diagnosis, which can help people to carry out early medical diagnosis. Combined with Arduino, Android and Bluetooth technology, a simple and easy-to-use health monitoring system based on wireless personal area network is proposed in this paper. The system uses reflective photoelectric sensors to obtain heart rate signal, digital blood pressure modules to obtain blood pressure information and MAX30102 blood oxygen sensors to obtain blood oxygen information. The data acquired by the sensor is processed by Arduino, the heart rate and blood oxygen information are displayed on the LCD1602 in real time. Meanwhile, the smart phone APP is used to communicate with Arduino via Bluetooth to perform blood pressure measurement. The test results show that the system can obtain health parameters timely and accurately, and the overall operation of the system is stable and practical.
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