Through the simulation based on a two-dimensional whole-heart electrophysiological model, the effect of ventricular electrical activity on the precordial cardioelectrical field as well as the ECG manifestation have been discussed. Such effect can vary with the changed excitation sequence of ventricles and the changed active and passive electrical properties of cardiac tissues. As the result, many abnormal ECG waves can form. By carefully analyzing such effect, the correlation among ECG waveforms recorded at different lead locations can be revealed and the significance of ECG manifestation can be fully explored.As a case of analyzing, some ECG waves at certain right chest lead locations can get a proper explanation.

Dyslipoproteinemia is correlated with the occurrence and development of atherosclerosis and cardiocerebral vascular diseases. The metabolism of serum lipoprotein, however, is a complicated and ordered metabolic process. On one hand, every organ, tissue and even cell of the body participates in and affects the state of serum lipoprotein dynamic balance (SLDB) in different degrees. On the other hand, SLDB is a direct factor for maintaining the normality of whole vascular system, especially the vascular endothelium system. The serum lipoprotein dynamic imbalance, as an inducement or even etiological factor, can bring about various clinical diseases. Therefore, integrated analysis is needed to appropriately assess the state of SLDB. It is suggested that serum lipoprotein dynamic imbalance syndrome should be the key risk factor for those related diseases. Serum lipoprotein electrophoretogram can ideally express the state of SLDB and be taken as a new index for cognizing the serum lipid metabolism and the function of speen-qi to distribute Jing (Essonse) in the integrated traditional Chinese and western medicine. Practice has showed that concrete integration and bilateral development should be one of the main tasks in current researches of integrated traditional Chinese and western medicine.

We invented an efficiently approach to building whole-heart electrophysiological model with cellular automata style massive parallel computing. In this paper, we introduce the simulation facilities of a model we built and the potential application of such model. The first use is to solve the forward problem of electrocardiogram. Simulating arrhythmia ECG and accurately interpreting the significance of various irregular waveforms will be the key goal. Investigating the dynamic property of cardioelectrical activity at cellular and channel levels is the second application, aiming at revealing the mechanism of the generation and sustentation of arrhythmia. Third, the model can be used to research the impacts of artificial interventions on cardioelectrical activity. Electrical defibrillation and pace-making as well as the use of channel block agents are all cases.
Arrhythmias, Cardiac ; etiology ; physiopathology ; Computer Simulation ; Electrocardiography ; methods ; Electrophysiology ; Heart ; physiology ; Humans ; Models, Cardiovascular