A New Method for Practicing Exploration, Dissection, and Simulation with a Complete Computerized Three-Dimensional Model of the Brain and Skull

1994 ◽  
Vol 150 (1) ◽  
pp. 69-74 ◽  
Author(s):  
R. Schubert ◽  
K.H. Höhne ◽  
A. Pommert ◽  
M. Riemer ◽  
Th. Schiemann ◽  
...  
2019 ◽  
Vol 17 (3) ◽  
pp. 18-28
Author(s):  
E. Bykova ◽  
A. Savostyanov

Despite the large number of existing methods of the diagnosis of the brain, brain remains the least studied part of the human body. Electroencephalography (EEG) is one of the most popular methods of studying of brain activity due to its relative cheapness, harmless, and mobility of equipment. While analyzing the EEG data of the brain, the problem of solving of the inverse problem of electroencephalography, the localization of the sources of electrical activity of the brain, arises. This problem can be formulated as follows: according to the signals recorded on the surface of the head, it is necessary to determine the location of sources of these signals in the brain. The purpose of my research is to develop a software system for localization of brain activity sources based on the joint analysis of EEG and sMRI data. There are various approaches to solving of the inverse problem of EEG. To obtain the most exact results, some of them involve the use of data on the individual anatomy of the human head – structural magnetic resonance imaging (sMRI data). In this paper, one of these approaches is supposed to be used – Electromagnetic Spatiotemporal Independent Component Analysis (EMSICA) proposed by A. Tsai. The article describes the main stages of the system, such as preprocessing of the initial data; the calculation of the special matrix of the EMSICA approach, the values of which show the level of activity of a certain part of the brain; visualization of brain activity sources on its three-dimensional model.


2000 ◽  
Vol 23 (6) ◽  
pp. 793-842 ◽  
Author(s):  
J. Allan Hobson ◽  
Edward F. Pace-Schott ◽  
Robert Stickgold

Sleep researchers in different disciplines disagree about how fully dreaming can be explained in terms of brain physiology. Debate has focused on whether REM sleep dreaming is qualitatively different from nonREM (NREM) sleep and waking. A review of psychophysiological studies shows clear quantitative differences between REM and NREM mentation and between REM and waking mentation. Recent neuroimaging and neurophysiological studies also differentiate REM, NREM, and waking in features with phenomenological implications. Both evidence and theory suggest that there are isomorphisms between the phenomenology and the physiology of dreams. We present a three-dimensional model with specific examples from normally and abnormally changing conscious states.


2012 ◽  
Vol 241-244 ◽  
pp. 2125-2128 ◽  
Author(s):  
Zhao Hua Xu ◽  
Zhi Qin Cui ◽  
Xiao Hua Wang

This paper presents a new method for the analysis of the crankshaft strength by using the softwares of solidworks, matlab and ansys. Using the powerful modeling function of solidworks, the three-dimensional model of crankshaft was established. Applying the techniques of numerical operation, graph display and GUI of matlab, the simulation calculations of kinematics, dynamics of crankshaft was carried out and the force and torque of crankshaft was obtained. Making full use of finite element analysis function of ansys, the modal analysis and strength analysis of crankshaft were made. The results show that it is valid to take the respective advantages of solidworks, matlab and ansys to establish a simple and effective approach for the analysis of the crankshaft strength, which supplies foundation for the optimization design and dynamic response of crankshaft.


2020 ◽  
Vol 185 ◽  
pp. 03030
Author(s):  
Yingying Yan ◽  
Li Ke ◽  
Qiang Du ◽  
Xiaodi Ding ◽  
Jia Chen

The stable regulation of cerebral blood flow plays an important role in the normal operation of brain function. The disturbance of cerebral blood flow automatic regulation will lead to brain injury and lead to cerebrovascular disease. Therefore, it is of practical clinical significance to study the fine modeling of intracranial blood vessels. First of all, based on the anatomic structure of the intracranial blood vessels, the above sagittal sinus vein, sigmoid sinus, superior petrosal sinus, transverse sinus and cerebral arterial circle were mainly modeled, the three-dimensional model of cerebral blood flow is constructed. Secondly, the three-dimensional model is given conductivity characteristics. Through the expansion and contraction of cerebral blood vessels to simulate the self-regulation of cerebral blood flow, the simulation method of cerebral blood flow impedance is studied. When the blood flow changes, the brain impedance is calculated. The simulation data shows that the change trend of the electric potential and the whole brain impedance of the outer layer of the brain is consistent with the theoretical analysis. The experimental results show that the impedance curves and changes calculated by the brain model in this study are consistent with the measured impedance results, which shows that the modeling method in this paper is precise and effective, and provides a theoretical basis for further study of cerebral blood flow problems.


2012 ◽  
Vol 233 ◽  
pp. 247-254
Author(s):  
Zhen Wang ◽  
Xiang Ming Dun ◽  
Xiang Yong Dun

A new method to collect royal jelly is proposed according to the view of industrial robot. A three-dimensional model of royal jelly collecting robot with a monocular camera is built. Detecting the particular shapes via Fourier Descriptors and finding the corresponding target points though the image shot by the camera. The vision-based process and the 3-D simulation are performed alternately to simulate picking up queen bee larvae according to robotic forward kinematics and inverse kinematics.


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