Dynamic ECG Signal Collecting And Chaotic Processing System

This paper introduces in detail the hardware and software of the dynamic electrocardiogram acquisition system. And on the basis of this system, the ECG processing method based on Chaos theory is studied. At last, a user interface is made to facility the consumer use. The main work of this thesis is expressed as follow:1. In the first part, the general mechanism of ECG signal and its lead converter system is represented. Secondly, this paper analyzes the connection between the different cases of illness and the parameters of ECG waveform such as QRS complex lasting time and it's peak value. Thirdly, the advantage of dynamic ECG compared to common ECG is introduced.2. The structure of the ECG acquisition system based on MSP430 and SD card is developed in the 2nd part. In this part, the analog amplify circuit and SD card operation timing is studied in detail. At last, this part describe the conception of the signal integrity, and the investigation of hardware circuit design according to this conception.3. On the software part, this paper firstly introduce the initialization of some key modules like LCD, ADC, and etc. The second section of this part is the structure and principle of FAT file system and the realization of reading and writing data in FAT format by means of MSP430.4. The theory of Chaos and its application in ECG signal analysis is discussed in the 4th section. Some significant non-linear parameters are introduced, including Lyapunov exponent spectrum, Kolmogrov entropy, phase space reconstruction and etc, which are widely used in Chaos systems. Some typical cases are selected from the MIT-BIH database for research, and the key parameters of each case are obtained by means of non-linear algorithm. Besides, each typical case is reconstructed in phase space. The differences between kinds of illness can be easily found in each of the parameters and recognition images.5. In the last part of the paper, a user interface is constructed in order to realize filtering, baseline correction, QRS complex recognition and phase space reconstruction.