Abstract
A real-time multi parameter acquisition system is designed in this paper. Sensors collect physiological parameter data. The parameters are transmitted to the main processor module via a wireless sensor network. The main processor processes the data. The results reflect the current physiological condition of the monitored person.If the physiological condition is abnormal, alarm measures will be initiated to inform the monitor. Wavelet analysis method is used to denoise data. The wavelet transform and least squares support vector machines are used to predict the information, and the model is corrected by the statistical results of the measured data. Experiments show that the modified method is effective.
Highlights
People pay more and more attention to the condition of health in daily life
Multi-resolution timefrequency domain analysis can focus on any signal details, and wavelet analysis has been successfully applied in many fields
The algorithm can be transformed into linear equations, which choose less parameters than the standard support vector machine method,and no longer need to specify the precision of convergence criterion
Summary
People pay more and more attention to the condition of health in daily life. Many people are in a state of subhealth now. Health management originally originated in the United States, Canada and so on These western countries carried out the public disease prevention service firstly. Health management can prevent and control the occurrence and development of disease. It can reduce the cost of medical treatment and improve the quality of life. Health management can only be carried out effectively according to the adjustment of the data obtained from the collection and testing of health information. A portable device is designed to monitor the physiological parameters of human body in real time. The physiological parameters of the monitoring object are analyzed, and the hidden slow changes are found It can predict the disease of the monitoring object and notify observers in time to prevent it. Statistical method is used to analyze the actual data, which is used to correct the prediction results so as to improve the prediction accuracy
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