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您的检索式：作者名="Shanxing Ou"
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| 1 | A new method for early detection of myocardial ischemia:cardiodynamicsgram(CDG)显示文摘Early detection of myocardial ischemia via electrocardiographic methods is important and challenging. In the study, based on the standard 12-lead electrocardiography(ECG), a new method called cardiodynamicsgram(CDG) is proposed for early detection of myocardial ischemia. Using a recently proposed deterministic learning algorithm, the cardiodynamics information is extracted from the ST-T segments of standard 12-lead ECG. The CDG is generated by plotting the three-dimensional cardiodynamics information. By analyzing CDG morphology, it is found that significant correlations exist between CDG and ischemia. By evaluating ischemia patients and healthy controls from the Physikalisch-Technische Bundesanstalt(PTB) database and the General Hospital of Guangzhou Military Command, the CDG method achieves a mean sensitivity of 90.3% and a mean specificity of 87.8%, which are higher than those of both the standard 12-lead ECG and the exercise ECG. As it is noninvasive, convenient, and inexpensive, it is hopeful that CDG may become a cost-effective screening method for early detection of ischemic heart diseases. | Cong WANG Xunde DONG Shanxing OU Wei WANG Junmin HU Feifei YANG | 2016 | Science China(Information Sciences)2016，59，1： | 5 |
| 2 | Electrocardiogram(ECG) pattern modeling and recognition via deterministic learning显示文摘A method for electrocardiogram(ECG) pattern modeling and recognition via deterministic learning theory is presented in this paper. Instead of recognizing ECG signals beat-to-beat, each ECG signal which contains a number of heartbeats is recognized.The method is based entirely on the temporal features(i.e., the dynamics) of ECG patterns, which contains complete information of ECG patterns. A dynamical model is employed to demonstrate the method, which is capable of generating synthetic ECG signals. Based on the dynamical model, the method is shown in the following two phases: the identification(training) phase and the recognition(test) phase. In the identification phase, the dynamics of ECG patterns is accurately modeled and expressed as constant RBF neural weights through the deterministic learning. In the recognition phase, the modeling results are used for ECG pattern recognition. The main feature of the proposed method is that the dynamics of ECG patterns is accurately modeled and is used for ECG pattern recognition. Experimental studies using the Physikalisch-Technische Bundesanstalt(PTB) database are included to demonstrate the effectiveness of the approach. | Xunde DONG Cong WANG Junmin HU Shanxing OU | 2014 | Control Theory and Technology2014，12，4： | 4 |
| 3 | Numerical simulation of neuronal spike patterns in a retinal network model显示文摘This study utilized a neuronal compartment model and NEURON software to study the effects of external light stimulation on retinal photoreceptors and spike patterns of neurons in a retinal network.Following light stimulation of different shapes and sizes,changes in the spike features of ganglion cells indicated that different shapes of light stimulation elicited different retinal responses.By manipulating the shape of light stimulation,we investigated the effects of the large number of electrical synapses existing between retinal neurons.Model simulation and analysis suggested that interplexiform cells play an important role in visual signal information processing in the retina,and the findings indicated that our constructed retinal network model was reliable and feasible.In addition,the simulation results demonstrated that ganglion cells exhibited a variety of spike patterns under different light stimulation sizes and different stimulation shapes,which reflect the functions of the retina in signal transmission and processing. | Lei Wang Shenquan Liu Shanxing Ou | 2011 | Neural Regeneration Research2011，6，16： | 1 |
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