Improved Gamp Compression Algorithm And Its Application In The Ecg Monitoring System

Nowadays, the heart disease which threaten human beings health is one of the most serious diseases in the world. Statistics show that millions of people are dying cardiovascular disease each year, so the study of prevention, diagnosis and treatment for it has become an important issue of the medical profession. The ECG monitoring system provides users with real-time ECG monitoring service and ensures the users can be guarded real-timely and treated in time if any strange signs happen. It is indispensible to compress EGG due to tremendous data produced by the long time and whole-day continuous monitoring. At present, the compression algorithm for ECG has become a focus of research in the ECG application field. However, shortcomings of current ECG compression algorithms exist, such as high computational complexity and computationally intensive, which are unable to be applied in microprocessors with limited resources. Efficient algorithm need to be studied to perform ECG compression in resource-constrained devices and to allow doctors to monitor patients signs with remote monitoring devices. Sparse composition method for EGG signal processing attracts considerable current research interest, gradually in recent years. The Sparse decomposition algorithm can achieve higher compression ratio and less distortion rate, but the disadvantage of sparse decomposition algorithm is computationally intensive and algorithm complexity. Although based on genetic algorithm, the sparse decomposition algorithm reduces lots of computation and algorithm complexity, it still needs a large amount of computation. By combined with ECG, the computation complexity can be reduced further to meet the requirements of practical applications. Therefore, to overcoming the defects of the sparse decomposition algorithm, sparse decomposition algorithm improvements basing on both the characteristics of the ECG signal and GA sparse decomposition algorithm are proposed and was applied in ECG compression technology. Compared the basic GAMP compression algorithm, the computation in this improved algorithm is reduced to50%,while the ratio compression is6.4:1, which solve the problem of computationally intensive and high algorithm complexity in sparse decomposition. In this paper, relying on improved G AMP based ECG compression algorithm wireless transmission function, ECG monitoring system is designed and researched.First, the ECG monitoring system and ECG signal compression technology research is analyzed, the lack of efficient compression technology and ECG monitoring system is pointed out. In depth study of the ECG waveform and its physiological significance, detailed anaiysis of the technical principles of sparse decomposition algorithm and theory, pave the way for the next improved algorithm proposed, at the same time lay the theoretical foundation for the study after;Secondly, the principles and requirements of the ECG monitoring system basing on improved the GAMP ECG compression algorithm is analyzed. Overall framework of the system is designed, specific design ideas are given and design methods of the various modules of the system are proposed.Then, basing on the characteristics of the ECG signal sparse decomposition algorithm the power spectrum of the ECG is analyzed, the window functions established on ECG characteristic waveform is studied and designed, which improve. As this basis, the characteristics of the ECG signal the GAMP compression algorithm model is designed. The effectiveness and feasibility of this algorithm is verified using actual ECG MIT-BIH ECG database by Matlab.Then the genetic algorithm crossover and mutation operator is analyzed indicating the lack of genetic algorithm combined with the proposed algorithm. suitable adaptive genetic algorithm to further reduce the complexity is proposed. The same MIT-BIT database simulation is used to verify the effectiveness and feasibility of the algorithm.Finally, the ECG monitoring system basing on the improved algorithm is designed. the wireless transmitter module by CC2430as the core is designed and the module of the ECG signal compression coding and decoding process are designed.ECG compression algorithm and the system design ideas in this paper lay a foundation for the development of the real-time embedded ECG monitoring products.