Academic literature on the topic 'Realistic head model'
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Journal articles on the topic "Realistic head model"
Siregar, Nella Putriyani, and Ella Andhany. "PENGARUH MODEL PEMBELAJARAN NUMBERED HEAD TOGETHER DAN REALISTICS MATHEMATIC EDUCATION TERHADAP KEMAMPUAN BERPIKIR KRITIS DAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA DI SMA NEGERI 11 MEDAN." AXIOM : Jurnal Pendidikan dan Matematika 9, no. 1 (June 29, 2020): 99. http://dx.doi.org/10.30821/axiom.v9i1.7253.
Full textSugihatno, A. C. M. S., Budiyono, and I. Slamet. "Realistic Matematic Approach through Numbered Head Together Learning Model." Journal of Physics: Conference Series 895 (September 2017): 012026. http://dx.doi.org/10.1088/1742-6596/895/1/012026.
Full textSadleir, Rosalind J., Tracy D. Vannorsdall, David J. Schretlen, and Barry Gordon. "Transcranial direct current stimulation (tDCS) in a realistic head model." NeuroImage 51, no. 4 (July 2010): 1310–18. http://dx.doi.org/10.1016/j.neuroimage.2010.03.052.
Full textRoth, Yiftach, Gaby S. Pell, and Abraham Zangen. "Realistic shape head model and spherical model as methods for TMS coil characterization." Clinical Neurophysiology 126, no. 7 (July 2015): 1455–56. http://dx.doi.org/10.1016/j.clinph.2014.08.027.
Full textVatta, Federica, Fabio Meneghini, Fabrizio Esposito, Stefano Mininel, and Francesco Di Salle. "Realistic and Spherical Head Modeling for EEG Forward Problem Solution: A Comparative Cortex-Based Analysis." Computational Intelligence and Neuroscience 2010 (2010): 1–11. http://dx.doi.org/10.1155/2010/972060.
Full textSeo, Hyeon, and Sung Chan Jun. "Computational exploration of epidural cortical stimulation using a realistic head model." Computers in Biology and Medicine 135 (August 2021): 104290. http://dx.doi.org/10.1016/j.compbiomed.2021.104290.
Full textJalilvand, M., Chuanren Wu, J. Schmid, and T. Zwick. "Quantitative imaging of numerically realistic human head model using microwave tomography." Electronics Letters 50, no. 4 (February 2014): 255–56. http://dx.doi.org/10.1049/el.2013.4078.
Full textPaulus, W. "Source analysis of visual evoked potentials in a realistic head model." Electroencephalography and Clinical Neurophysiology 103, no. 1 (July 1997): 20–21. http://dx.doi.org/10.1016/s0013-4694(97)87997-0.
Full textXu, Peng, and Dezhong Yao. "A novel method based on realistic head model for EEG denoising." Computer Methods and Programs in Biomedicine 83, no. 2 (August 2006): 104–10. http://dx.doi.org/10.1016/j.cmpb.2006.06.002.
Full textTae-Seong Kim, Yongxia Zhou, Sungheon Kim, and M. Singh. "EEG distributed source imaging with a realistic finite-element head model." IEEE Transactions on Nuclear Science 49, no. 3 (June 2002): 745–52. http://dx.doi.org/10.1109/tns.2002.1039558.
Full textDissertations / Theses on the topic "Realistic head model"
Katyal, Bhavana. "Multiple current dipole estimation in a realistic head model using signal subspace methods." Online access for everyone, 2004. http://www.dissertations.wsu.edu/Thesis/Summer2004/b%5Fkatyal%5F072904.pdf.
Full textAkalin, Acar Zeynep. "Electro-magnetic Source Imaging Using Realistic Head Models." Phd thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606173/index.pdf.
Full texts gyrus. In conclusion, this thesis presents a complete source localization framework for future brain research using the EMSI.
Gursoy, Doga. "Multi-frequency Contactless Electrical Impedance Imaging Using Realistic Head Models: Single Coil Simulations." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608201/index.pdf.
Full textAydin, Ümit [Verfasser], Jens [Akademischer Betreuer] Haueisen, Ceon [Akademischer Betreuer] Ramon, and Carsten H. [Akademischer Betreuer] Wolters. "Combined EEG and MEG source analysis of epileptiform activity using calibrated realistic finite element head models / Ümit Aydin. Gutachter: Ceon Ramon ; Carsten H. Wolters. Betreuer: Jens Haueisen." Ilmenau : Universitätsbibliothek Ilmenau, 2015. http://d-nb.info/1072072939/34.
Full textAydin, Ümit [Verfasser], Jens [Akademischer Betreuer] Haueisen, Ceon Akademischer Betreuer] Ramon, and Carsten H. [Akademischer Betreuer] [Wolters. "Combined EEG and MEG source analysis of epileptiform activity using calibrated realistic finite element head models / Ümit Aydin. Gutachter: Ceon Ramon ; Carsten H. Wolters. Betreuer: Jens Haueisen." Ilmenau : Universitätsbibliothek Ilmenau, 2015. http://nbn-resolving.de/urn:nbn:de:gbv:ilm1-2015000040.
Full textWu, Yungkang, and 伍永康. "Methods to generate a realistic 3D head and face model." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/19759912165343857219.
Full text國立臺灣大學
資訊工程學研究所
87
For many years, to synthize a realistic 3D head model on a computer is the dream of many researchers. In this thesis, a semi-automatic method to generate a 3D head model like with one generic head model and three photographs which are taken from the front, left and right views is proposed. Feature points are selected from front and side pictures manually, and are used as (x,y) and (y,z)coordinates of target head model, respectively. After the realistic head model is generated, the color discontinuity between photos on the face then has to be eliminated with multi-resolution pyramid method to get better quality. In synthesis, it is rendered with OpenGL, and the effects and speed are also measured. This is believed to be a very useful technique in special effect, animation production or visual communication with the addition of facial action parameters.
Kuo, Ching-Hung, and 郭經弘. "3D Filtering for Brain Potential Mapping on the Realistic Head Model." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/95106494858964474400.
Full text國立交通大學
電機與控制工程學系
86
The purpose of this research is to investigate the feasibility of applyingthe three-dimensional(3D) filtering technique to manipulating the brain potential distribution on a realistic head model; based on a limited number ofEEG( electroencephalograph) recording electrodes. In previous study, the 3D filtering method based on a spherical model was shown to have the performancecomparable to that of the 4NN(four-nearest- neighbor) and the spherical splinesmethods. In this thesis, we first utilize the spherical model to analyze the effect of the number of recording electrodes and the sampling resolution of the 3D space on the interpolated brain potential mapping. The three methods areemployed for comparison. Then the 3D filtering and the 4NN methods are appliedto the realistic head model. The performance of different methods is evaluatedin two ways: 1) the deviation between the interpolated and the actual potentialmappings, and 2)the deviation between the re-localized and the actual dipolesource.
Lin, Hueng-Pei, and 林宏沛. "Facial Model Fitting and Expression Animation for Realistic Talking Head Application." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/42456364736954171130.
Full text大同大學
資訊工程研究所
90
To build the 3D-models of human faces and to animate the facial expressions realistically are difficult tasks in computer graphic, particularly when they are done manually. To reduce the laborious works, we propose a photo-based 3D facial model fitting technique and a parametric muscle model to automate the model construction process and to animate the rich facial expressions of human being realistically. A parametric muscle-model was adopt for facial animation. This approach inserts contractile muscles at anatomically correct positions within a facial model to mimic the skin deformation of human face. By controlling the parameters of these muscles, some typical facial expressions such as happiness, anger, sadness, and surprise can be synthesized in advance. Accordingly, the miscellaneous facial expressions can be generated by linear or convex combinations the parameters of the typical facial expressions. The facial model fitting process discussed in the thesis is based on the direct linear transformation (DLT). In this approach, multiple cameras are used to capture face images of individuals. By properly identifying the corresponded facial feature points in these 2D images, their positions in the object space can be measured, i.e., computed based on DLT. To achieve high-precision measurement of feature points, lens distortions are taken into account in calibration of multiple cameras. After certain feature points located at the face silhouette are measured, a volumetric scattered data interpolation algorithm is applied to deform a generic face mesh to fit the individual facial geometry. In addition, it also moves automatically original muscles attached on the generic mesh to the fitted face mesh. This will save a great deal of laborious works for an animator to build the mesh and to attach the muscles manually. To realistically represent an individual’s face, texture mapping is also an important task. In the thesis, we also propose a simple texture mapping technique to extract the texture information from the captured images of the participation cameras. The texture map for each individual, as a result, will have the same texture index while with different texture image. The texture image, in turn, is built by blending from the view-dependent texture image for participant cameras. This will greatly reduce the algorithmic complexity in recomputing the texture indices for different individuals. Some experimental results will be demonstrated in the thesis to confirm the feasibility and the efficiency of our approach.
Au, Young Simon Man Wai. "Functional brain mapping by high resolution electroencephalography with deblurring and realistic 3-D head models." Thesis, 2000. http://hdl.handle.net/2429/10519.
Full textGentilal, Nichal. "Heating of head tissues during TTFields therapy: a computational study." Master's thesis, 2018. http://hdl.handle.net/10451/35668.
Full textGlioblastoma Multiforme(GBM) is one of the deadliest brain diseases that is characterized by a rapid progression and a short survival time. The expected life time is only 15 months with optimal treatment and the current standard of care includes one technique that was first reported 15 years ago, named Tumour Treating Fields(TTFields).This non-invasive approach relies on injecting an alternate current in electrodes placed on the scalp with an optimal frequency of 200 kHz to produce an electric field with a minimal therapeutic intensity of 1V/cm at the tumour site. A field with these properties was shown in in-vitro studies to have an anti-mitotic effect capable of reducing the growth rate of the tumoural cells. This led to the creation of what is now a Food and Drug Administration (FDA) approved device named Optune®. These fields are applied injecting an alternating current with 900 mA amplitude per array in two perpendicular directions alternately (Left-Right and Anterior-Posterior), with a switching time of one second. Additionally, clinical trials showed that a daily usage of at least 18 hours can significantly enhance treatment outcomes. Apart from skin dermatitis underneath the regions where the electrodes are placed, there are no other major changes reported in the literature that can be considered as side-effects of this technique. However, it is a known fact that biological tissues heating occurs due to the Joule effect. This problem is addressed by shutting down the fields in both directions when a transducer reaches 41ºC which consequently leads to GBM not being treated at all. The aim of this project is to study this on/off process and evaluate the thermal damage to the healthy tissues while, at the same time, suggesting ways to improve how Optune® works. To accomplish these goals, a realistic head model already built by our research group based on Magnetic Resonance Imaging (MRI) data,was used. This model consists of six different biological tissues (scalp, skull, Cerebro Spinal Fluid(CSF), grey matter, white matter and eyeballs), the transducers arrays that mimic Optune® and a virtual lesion that intends to represent a GBM. The computational studies were done using COMSOL Multiphysics after performing validation tests to ensure the reliability of its results. This software uses the finite element method to calculate the electric potential and the temperature within each tissue as a function of space and time. The results obtained show that due to the thermal constraints and under normal conditions, Optune® is only being used to treat the tumour around one-third of the time(6hours).However, we show that it is possible to increase this time if the room temperature is lowered,if the injected current is controlled at the transducer level instead of at the array level and if just the array that has the electrode that reaches 41ºC is shut down instead of both arrays. Additionally, considering a hypothetical situation where Optune® works with half the injected current in each transducer but with both configurations applied simultaneously instead of alternately, we concluded that the device is more time on and might be a good alternative to enhance treatment outcomes. All the simulations surpassed the thresholds defined by the international agencies for the Specific Absorption Rate (SAR) values for a MRI diagnostic, which was expected considering that the time that the electric fields are applied should be maximized to treat this disease. Additionally, thermal damage evaluated using the Cumulative number of Equivalent Minutes at 43ºC (CEM 43ºC) showed that only minor and acute changes are expected at the skin level, while the thresholds for the skull, CSF and the eyeballs were not reached for one treatment day. For the brain, some changes such as increased Blood-Brain Barrier (BBB) permeability, a variation of the cerebral blood flow and an alteration of the Gamma-AminoButyric Acid(GABA),glycine and glutamate concentrations may occur. The conclusions here drawn consider that the metrics chosen can be used in TTFields without any major change to the thresholds from which they were developed for. Although this might not be completely true,the main points here achieved should be seen as a principle of proof that Joule heating inTTFields can be harmful and lead to some changes,especially in the brain, that may lower the quality of life of GBM patients. One important question that remains to be answered is if these results proved to be true, can the benefits of this technique really compensate the side-effects considering the low survival rate? To increase the validaty of these results this data should be compared with what is seen in clinical trials. We hope that these conclusions can be helpful to improve this technique and to increase the awareness of the thermal damage during TTFields therapy.
Books on the topic "Realistic head model"
Wilson, Shaun. Living Wages and the Welfare State. Policy Press, 2021. http://dx.doi.org/10.1332/policypress/9781447341185.001.0001.
Full textRenker, Elizabeth. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808787.003.0001.
Full textXue, Yongkang, Yaoming Ma, and Qian Li. Land–Climate Interaction Over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.592.
Full textWilson, Alastair. The Nature of Contingency. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198846215.001.0001.
Full textBook chapters on the topic "Realistic head model"
Liu, Yong-Jin, Matthew Ming-Fai Yuen, and Shan Xiong. "A Feature-Based Deformable Model for Photo-Realistic Head Modelling." In Deformable Avatars, 35–45. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47002-8_4.
Full textBashar, Md Rezaul, Yan Li, and Peng Wen. "EEG Analysis on Skull Conductivity Perturbations Using Realistic Head Model." In Rough Sets and Knowledge Technology, 208–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02962-2_26.
Full textTepley, Norman, Bradley J. Roth, and Ranjith S. Wijesinghe. "Modeling of Spreading Cortical Depression Using a Realistic Head Model." In Biomag 96, 361–64. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_88.
Full textTse, Kwong Ming, Long Bin Tan, Shu Jin Lee, Siak Piang Lim, and Heow Pueh Lee. "A Realistic Subject-Specific Finite Element Model of Human Head-Development and Experimental Validation." In IFMBE Proceedings, 307–10. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02913-9_78.
Full textOrtega-Quijano, N., F. Fanjul-Vélez, I. Salas-García, and J. L. Arce-Diego. "Numerical Modeling of Optical Radiation Propagation in a Realistic Model of Adult Human Head." In IFMBE Proceedings, 1679–82. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_414.
Full textMakarov, Sergey N., Jyrki Ahveninen, Matti Hämäläinen, Yoshio Okada, Gregory M. Noetscher, and Aapo Nummenmaa. "Multiscale Modeling of EEG/MEG Response of a Compact Cluster of Tightly Spaced Pyramidal Neocortical Neurons." In Brain and Human Body Modeling 2020, 195–211. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_11.
Full textFournier, Marc, Mahdi Mahmoudzadeh, Kamran Kazemi, Guy Kongolo, Ghislaine Dehaene-Lambertz, Reinhard Grebe, and Fabrice Wallois. "Realistic Head Model Design and 3D Brain Imaging of NIRS Signals Using Audio Stimuli on Preterm Neonates for Intra-Ventricular Hemorrhage Diagnosis." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 172–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33454-2_22.
Full textGentilal, Nichal, Ariel Naveh, Tal Marciano, Zeev Bomzon, Yevgeniy Telepinsky, Yoram Wasserman, and Pedro Cavaleiro Miranda. "The Impact of Scalp’s Temperature in the Predicted LMiPD in the Tumor During TTFields Treatment for Glioblastoma Multiforme." In Brain and Human Body Modelling 2021, 3–18. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15451-5_1.
Full textGentilal, Nichal, Ricardo Salvador, and Pedro Cavaleiro Miranda. "A Thermal Study of Tumor-Treating Fields for Glioblastoma Therapy." In Brain and Human Body Modeling 2020, 37–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_3.
Full textVaul, John, Peter Excell, and Peter Olley. "Numerical Realization of Realistic Head and Hand Models for Mobile Telephone Safety Verification." In Digital Content Creation, 332–42. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0293-9_22.
Full textConference papers on the topic "Realistic head model"
Gombarska, Daniela, Zuzana Psenakova, and Andrea Gajdosova. "Numerical Model of Realistic Human Head Phantom." In 2022 23rd International Conference on Computational Problems of Electrical Engineering (CPEE). IEEE, 2022. http://dx.doi.org/10.1109/cpee56060.2022.9919415.
Full textDuru, A. D., and A. Ademoglu. "Realistic head model preparation for EEG forward problem." In 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080470.
Full textArayeshnia, Amir, Asghar Keshtkar, and Shervin Amiri. "Realistic human head voxel model for brain microwave imaging." In 2017 Iranian Conference on Electrical Engineering (ICEE). IEEE, 2017. http://dx.doi.org/10.1109/iraniancee.2017.7985315.
Full textSiwei Bai, C. Loo, and S. Dokos. "Electroconvulsive therapy simulations using an anatomically-realistic head model." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091399.
Full textRokunuzzaman, Md, Asif Ahmed, Thomas Baum, and Wayne S. T. Rowe. "UWB Power Penetration Inside a Realistic Human Head Model." In 2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia). IEEE, 2019. http://dx.doi.org/10.1109/icce-asia46551.2019.8941606.
Full textShuo Yang, Guizhi Xu, Lei Wang, Yong Chen, Huanli Wu, Ying Li, and Qingxin Yang. "3D realistic head model simulation based on transcranial magnetic stimulation." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260877.
Full textEmir, U. E., A. Deniz Duru, A. Ademoglu, and A. Akin. "Coregistration of fNIRS Data on to the Realistic Head Model." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1617152.
Full textManoli, Z., N. Grossman, and T. Samaras. "Theoretical investigation of transcranial alternating current stimulation using realistic head model." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346882.
Full textDong, Guoya, Richard Bayford, Hesheng Liu, Ying Zhou, and Weili Yan. "EIT Images with Improved Spatial Resolution Using a Realistic Head Model." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259794.
Full textDong, Guoya, Richard Bayford, Hesheng Liu, Ying Zhou, and Weili Yan. "EIT Images with Improved Spatial Resolution Using a Realistic Head Model." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397606.
Full textReports on the topic "Realistic head model"
Warrick, Arthur, Uri Shani, Dani Or, and Muluneh Yitayew. In situ Evaluation of Unsaturated Hydraulic Properties Using Subsurface Points. United States Department of Agriculture, October 1999. http://dx.doi.org/10.32747/1999.7570566.bard.
Full textVolunteer Kinematics and Reaction in Lateral Emergency Maneuver Tests. SAE International, November 2013. http://dx.doi.org/10.4271/2013-22-0013.
Full text