3.Neonatal arrhythmia in two cases.
Fang LIANG ; Hong-bin JIANG ; Wen-xin ZHOU
Chinese Journal of Pediatrics 2007;45(11):879-880
5.Mathematical model of cardiac action potential and its computer simulations.
Hong ZHANG ; Lin YANG ; Yinbin JIN ; Zhenxi ZHANG ; Yizhuo HUANG
Journal of Biomedical Engineering 2005;22(3):637-640
Malignant arrhythmias and ventricular fibrillation are generally accepted as one of the major causes of death in cardiovascular diseases. Based on the H-H equations, the mathematical model of the cardiac cell action potential consists of the ion channels, pumps, exchangers and transporters that are closely connected with intra- and extra-cellular ion concentrations, the channel's conditions, nerve transductors and drugs. It can build the link between cell electrophysiology and clinical pathophysiology. By altering the cellular environments the computer simulating study on this kind of model can help us look into the electrophysiological changes of the cardiac tissue and even the whole heart and investigate the mechanisms of the cardiac arrhythmias as well. The components of the model and its computer simulating study are introduced in the paper.
Action Potentials
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Arrhythmias, Cardiac
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physiopathology
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Computer Simulation
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Heart
;
physiopathology
;
Humans
;
Models, Cardiovascular
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Ventricular Fibrillation
;
physiopathology
9.Shock shape representation of sinus heart rate based on cloud model.
Wenfeng YIN ; Jie ZHAO ; Tiantian CHEN ; Junjian ZHANG ; Chunyou ZHANG ; Dapeng LI ; Baijing AN
Journal of Biomedical Engineering 2014;31(2):279-282
The present paper is to analyze the trend of sinus heart rate RR interphase sequence after a single ventricular premature beat and to compare it with the two parameters, turbulence onset (TO) and turbulence slope (TS). Based on the acquisition of sinus rhythm concussion sample, we in this paper use a piecewise linearization method to extract its linear characteristics, following which we describe shock form with natural language through cloud model. In the process of acquisition, we use the exponential smoothing method to forecast the position where QRS wave may appear to assist QRS wave detection, and use template to judge whether current cardiac is sinus rhythm. And we choose some signals from MIT-BIH Arrhythmia Database to detect whether the algorithm is effective in Matlab. The results show that our method can correctly detect the changing trend of sinus heart rate. The proposed method can achieve real-time detection of sinus rhythm shocks, which is simple and easily implemented, so that it is effective as a supplementary method.
Algorithms
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Arrhythmias, Cardiac
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physiopathology
;
Electrocardiography
;
Heart Rate
;
Humans
;
Ventricular Premature Complexes
;
physiopathology