Study Of Measuring The Physiological Indexes Of Human Body Based On PPG

Heart rate is one of the vital signs of the human,it is the most basic meausremet standard of a person’s health,but it is also an important criterion. At the same time, abnormal cardiac rate is harmful to the human’s health,it causes many kinds of caridiovascular diseases. Therefore,it is significance to measure the heart rate.We comblined with the PPG technology,face detection theory and the blind source separation techology,collect face video signal from the ordinary webcom,separate the green signal;transform the green signal, and then calcauate the value of the heart rate.The design project is simple,and the fee is cheap,so it is suitable to popularize for families and communities.The main work is as follows:1. In chapter 2,we introduce the application of PPG technology,and face detection theory,then,discuss the mature face detection algorithm briefly.On this basis,we focuse on the Adaboost classifer algorithm.In this process, we optimization of the fast Harr integral figure in this paper.It aims to reduce the number of operations.Then,We discuss how to train face samples based the Open CV platform and discuss the isuues that may be encountered during the training,then we give the appropriate solution to solve this problem.At the same time,we analysis the differences results in the training.Finally,we design the face detection interface that is used the.xml file to detect the image is face or not. 2. In chapter 3, we introduce the methods of blind source separation technique and the classical ICA algorithm. Then, we talk about the classical Fast ICA algorithm.Using the search factor, we improved the classical Fast ICA algorithm. The improved Fast ICA algorithm reduces the number of iterations. Finally, the simulation results are verified the conclusion. 3. In chapter 4, we design of a heart rate measurement system project, and description of how to bulid the system hardware platform and how to make the software environment in detail.Secondly,by the designed system, we can get the face image video.Third,we make operation of the video,we can caluate the hunman’s heart rate Finally, we compare and analysis of the data by the correlation and the BlandAlthman cosistency theory.The experimental results show that, using the improved Fast ICA algorithm has better correlation and consistent with the monitor than the tradtional Fast ICA algorithm.So,we can use the improved algorithm replace the instruments measure the human’s heart rate. 4. In chapter 5, we give a conclusion of this thesis and discuss the development of this field.