Xiaoyang Zhou

Work place: School of Mathematics and Statistics, Huazhong University of Science and Technology Wuhan 430074, People’s Republic of China

E-mail: z_z7613@yahoo.com.cn


Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Data Mining, Data Structures and Algorithms, Analysis of Algorithms, Mathematics of Computing, Mathematics


Xiaoyang Zhou was born in Wuhan in Hubei Province of China, on January, 1956. Dr. Zhou received his Master’s Degree on Mathematics from the Department of Mathematics, Huazhong University of Science and Technology and he received his Doctor’s degree on power system from the School of Hydropower and Digitalized Engineering. He is now a professor of this University and his main research interests are Modeling and Analysis of Complex Systems, Financial Mathematics, Data Mining, and Biomedical Engineering.

Author Articles
Post-craniectomy Intracranial Pressure Dynamics:A Novel Compartmental Model of Generalized Monro-Kellie Principle

By Ketong Wang Yun Ding Xinyuan Zhang Xiaoyang Zhou

DOI: https://doi.org/10.5815/ijem.2011.03.10, Pub. Date: 5 Jun. 2011

A model of post-craniectomy intracranial pressure dynamics is proposed in this article. Defining the craniectomy distensible volume the original Monro-Kellie principle is generalized. A craniectomy compartment is added to traditional intracranial system including blood, cerebrospinal fluid, and brain parenchyma. The system equation of generalized Monro-Kellie principle is solved with 4th order runge-kutta method. Volume of the new compartment is calculated with deflection solution. The model verifies that abnormal morphology of intracranial pressure (systolic value-21mmHg and diastolic value-13mmHg) in hypertension can be reduced to a normal range (systolic value-14.5mmHg and diastolic value-13mmHg) with decompressive craniectomy. Additionally the ICP-DC Size curve provides an effective interval (about 80-200 square centimeters) of craniectomy size for practice of decompressive craniectomy.

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Predicting Post-craniectomy ICP: A Comprehensive Compartmental Model including Decompressive Craniectomy

By Ketong Wang Lie Li Danqing Li Yun Ding Xiaoyang Zhou

DOI: https://doi.org/10.5815/ijieeb.2011.02.07, Pub. Date: 8 Mar. 2011

A novel lumped-parameter model is proposed to help with establish practice criteria of decompressive craniectomy and explain post-craniectomy intracranial dynamics. Besides traditional four major parts of arterial and venous blood, cerebrospinal fluid and brain tissue, another compartment produced by secondary intracranial hypertension is included here. The elliptical deflection solution under uniformly distributed pressure is introduced to compute the craniectomy compartment volume and incorporate it into existing differential equations. Under particular pathology in this paper our model predicts the waveform of post-craniectomy intracranial pressure, which measures the clinical effectiveness of such an operation. Then a statistical model—Gaussian fitting model is used to fit our simulation data. This quantitative model provides a possible way to designate the operation criteria such as the size of decompressive craniectomy. Finally we propose the optimal interval of craniectomy size as from 100 to 300 square centimeters and that larger than 400 square centimeters would not obviously reinforce pressure reduction anymore.

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Other Articles