Wearable Dynamic ECG Monitoring System Based On The Signal Quality Evaluation

Currently, cardiovascular disease has become one of the most harmful diseases to human health. According to statistics, millions of people die of cardiovascular disease each year, so the research of prevention, diagnosis and treatment of the disease has become an important subject in the field of medicine. Wearable technology is to embed the ECG Acquisition System in clothing without affecting the wearing comfort so that the system can obtain ECG data in natural state. It is an effective method to monitor the ECG signals in real time. However, the human bodies are often in the state of motion and the dynamic ECG signals are interrupted greatly by noise. Therefore the ECG signals cannot be processed and evaluated correctly. Although there are many ECG monitoring products in the market now, these products cannot monitor the ECG signals in long-term and they are not suitable for processing the dynamic ECG signals. The signal quality evaluation technology is not only easy to achieve, but also can be used to process the noise in ECG with quantitative estimation for further processing. In addition, according to the requirements of the wearable and continuous monitoring system, using the filtering estimation method can effectively solve the ECG noise and data loss problems. So, according to the problems of the existing ECG monitoring products and the needs of dynamic ECG signals processing, this article studies and develops a wearable dynamic ECG monitoring system based on the signal quality evaluation technology.Firstly, we analyze the research actuality of the wearable physiology monitoring system and signal processing technology, and study the waveform and physiological significance of ECG signals. In addition, we discuss the basic principle and characteristics of the Kalman filter for the next research.Secondly, according to design principles and requirements of wearable ECG monitoring system, we design architecture of the whole system and give out the specific design ideas and design methods of each modules. Also, we emphatically expound the method to acquire dynamic ECG signals using cloth electrode. Thirdly, we establish the quality evaluation model of ECG signals based on the state of motion. (1) We analyze the signal quality evaluation method and establish the signal quality evaluation system. (2) We propose the method to identify the state of motion by RBF. (3) We give out the quality evaluation method of dynamic ECG signals based on the state of motion.And then, this paper gives out the dynamic heart rate estimation model based on the quality evaluation method of dynamic ECG signals and kalman filtering and emphatically expounds the method to adjust the parameters of Kalman filter by using the results of the quality evaluation method for optimal heart rate estimation. We also prove that the model has a high reliability and validity on each kind state by experiments.Finally, we design the wireless transmission module and remote monitoring software. We explain the development method of application on TinyOS and give the specific design steps. After that, we describe the design process of remote monitoring software and study the data receiving function by serial and ECG waveform displaying function. And then we present the results.The achievements in the thesis will be the basis for development of ECG monitoring products for people in community-oriented, hospitals, geracomium and so on.