Literatura académica sobre el tema "ELECTROENCEPHALOGRA"
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Artículos de revistas sobre el tema "ELECTROENCEPHALOGRA"
Noach, LA, Jla Eekhof, LJ Bour, FE Posthumus Meyjes, Gnj Tytgat y BW Ongerboer de Visser. "Bismuth salts and neurotoxicity. A randomised, single-blind and controlled study". Human & Experimental Toxicology 14, n.º 4 (abril de 1995): 349–55. http://dx.doi.org/10.1177/096032719501400405.
Texto completoPrendergast, Erica, Michele Grimason Mills, Jonathan Kurz, Joshua Goldstein y Andrea C. Pardo. "Implementing Quantitative Electroencephalogram Monitoring by Nurses in a Pediatric Intensive Care Unit". Critical Care Nurse 42, n.º 2 (1 de abril de 2022): 32–40. http://dx.doi.org/10.4037/ccn2022680.
Texto completoShafait, Saima, Wasim Alamgir, Imran Ahmad, Saeed Arif, Jahanzeb Liaqat y Asif Hashmat. "A STUDY ON COMPARATIVE YIELDS OF STANDARD SHORT TERM ELECTROENCEPHALOGRAM AND LONG TERM ELECTROENCEPHALOGRAM RECORDING IN SUSPECTED EPILEPSY PATIENTS". PAFMJ 71, n.º 5 (31 de octubre de 2021): 1727–31. http://dx.doi.org/10.51253/pafmj.v71i5.5921.
Texto completoZhu, Qianwen, Jianmin Zhang, Xingnan Wang y Yueying Fang. "Influencing factors for cognitive impairment in patients with dorsolateral frontal lobe epilepsy". Neurology Asia 27, n.º 2 (junio de 2022): 301–8. http://dx.doi.org/10.54029/2022crv.
Texto completoSidorenko, A. V. y M. A. Saladukha. "Evaluation of the depressive state of mobile technical systems operator subjected to electromagnetic noise radiation". Doklady BGUIR 18, n.º 4 (25 de junio de 2020): 53–61. http://dx.doi.org/10.35596/1729-7648-2020-18-4-53-61.
Texto completoBragin, A. D. y V. G. Spitsyn. "Motor imagery recognition in electroencephalograms using convolutional neural networks". Computer Optics 44, n.º 3 (junio de 2020): 482–87. http://dx.doi.org/10.18287/2412-6179-co-669.
Texto completoBerezovchuk, L. V. y M. E. Makarchuk. "About bioelectric buffer system of the brain". Klinicheskaia khirurgiia 87, n.º 7-8 (30 de septiembre de 2020): 53–57. http://dx.doi.org/10.26779/2522-1396.2020.7-8.53.
Texto completoFonseca, Lineu C., Glória M. A. S. Tedrus, Marcelo G. Chiodi, Jaciara Näf Cerqueira y Josiane M. F. Tonelotto. "Quantitative EEG in children with learning disabilities: analysis of band power". Arquivos de Neuro-Psiquiatria 64, n.º 2b (junio de 2006): 376–81. http://dx.doi.org/10.1590/s0004-282x2006000300005.
Texto completoPatil, Miss N. R. y Prof S. N. Patil. "Review:Wavelet transform based electroencephalogram methods". International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (30 de abril de 2018): 1776–79. http://dx.doi.org/10.31142/ijtsrd11542.
Texto completoAraki, Ryuhei, Kazuko Hayashi y Teiji Sawa. "Dopamine D2-receptor Antagonist Droperidol Deepens Sevoflurane Anesthesia". Anesthesiology 128, n.º 4 (1 de abril de 2018): 754–63. http://dx.doi.org/10.1097/aln.0000000000002046.
Texto completoTesis sobre el tema "ELECTROENCEPHALOGRA"
Steffert, Tony. "Real-time electroencephalogram sonification for neurofeedback". Thesis, Open University, 2018. http://oro.open.ac.uk/57965/.
Texto completoNicolau, Nicoletta. "Automatic artefact removal from electroencephalograms". Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430848.
Texto completoNg, Cheng Man. "Electroencephalogram analysis based on empirical mode decomposition". Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2493507.
Texto completoAntoniu, Angela. "Localization of the sources of the electroencephalogram". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0001/MQ59772.pdf.
Texto completoFatoorechi, Mohsen. "Electroencephalogram signal acquisition in unshielded noisy environment". Thesis, University of Sussex, 2015. http://sro.sussex.ac.uk/id/eprint/55034/.
Texto completoTcheslavski, Gleb V. "Coherence and Phase Synchrony Analysis of Electroencephalogram". Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/30186.
Texto completoPh. D.
Chang, Nathalie. "Dipole localization using simulated intracerebral electroencephalograms". Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82475.
Texto completoCorradini, Paula L. "CLINICAL APPLICATIONS OF THE QUANTITATIVE ELECTROENCEPHALOGRAPH". Thesis, Laurentian University of Sudbury, 2014. https://zone.biblio.laurentian.ca/dspace/handle/10219/2154.
Texto completoLopez, de Diego Silvia Isabel. "Automated Interpretation of Abnormal Adult Electroencephalograms". Master's thesis, Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/463281.
Texto completoM.S.E.E.
Interpretation of electroencephalograms (EEGs) is a process that is still dependent on the subjective analysis of the examiner. The interrater agreement, even for relevant clinical events such as seizures, can be low. For instance, the differences between interictal, ictal, and post-ictal EEGs can be quite subtle. Before making such low-level interpretations of the signals, neurologists often classify EEG signals as either normal or abnormal. Even though the characteristics of a normal EEG are well defined, there are some factors, such as benign variants, that complicate this decision. However, neurologists can make this classification accurately by only examining the initial portion of the signal. Therefore, in this thesis, we explore the hypothesis that high performance machine classification of an EEG signal as abnormal can approach human performance using only the first few minutes of an EEG recording. The goal of this thesis is to establish a baseline for automated classification of abnormal adult EEGs using state of the art machine learning algorithms and a big data resource – The TUH EEG Corpus. A demographically balanced subset of the corpus was used to evaluate performance of the systems. The data was partitioned into a training set (1,387 normal and 1,398 abnormal files), and an evaluation set (150 normal and 130 abnormal files). A system based on hidden Markov Models (HMMs) achieved an error rate of 26.1%. The addition of a Stacked Denoising Autoencoder (SdA) post-processing step (HMM-SdA) further decreased the error rate to 24.6%. The overall best result (21.2% error rate) was achieved by a deep learning system that combined a Convolutional Neural Network and a Multilayer Perceptron (CNN-MLP). Even though the performance of our algorithm still lags human performance, which approaches a 1% error rate for this task, we have established an experimental paradigm that can be used to explore this application and have demonstrated a promising baseline using state of the art deep learning technology.
Temple University--Theses
Janwattanapong, Panuwat. "Connectivity Analysis of Electroencephalograms in Epilepsy". FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3906.
Texto completoLibros sobre el tema "ELECTROENCEPHALOGRA"
National Institutes of Health (U.S.). Office of Clinical Center Communications, ed. EEG (electroencephalogram). [Bethesda, Md.?]: Clinical Center Communications, National Institutes of Health, 1989.
Buscar texto completoVogel, Friedrich. Genetics and the Electroencephalogram. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7.
Texto completoThe electroencephalogram: Its patterns and origins. Cambridge, Mass: MIT Press, 1993.
Buscar texto completoGarner, B. P. Spectral analysis of the electroencephalogram in young children. Manchester: UMIST, 1992.
Buscar texto completoEmpson, Jacob. Human brainwaves: The psychological significance of the electroencephalogram. Houndmills, Basingstoke, Hampshire: Macmillan, 1986.
Buscar texto completoParker, James N. y Philip M. Parker. Electroencephalogram: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.
Buscar texto completoRichards, Mark. Modulation of human electroencephalogram activity by experimentally generated electromagnetic fields: A counterclockwise application of complex magnetic fields known to alter time perception. Sudbury, Ont: Laurentian University, Department of Psychology, 2001.
Buscar texto completoThe Brain's alpha rhythms and the mind: A review of classical and modern studies of the alpha rhythm component of the electroencephalogram with commentaies on associated neuroscience and neuropsychology. Amsterdam: Elsevier, 2003.
Buscar texto completoShaw, J. C. The Brain's alpha rhythms and the mind: A review of classical and modern studies of the alpha rhythm component of the electroencephalogram with commentaries on associated neuroscience and neuropsychology. Amsterdam: Elsevier, 2003.
Buscar texto completoKam, Julia W. Y. y Todd C. Handy. Electroencephalogram Recording in Humans. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0006.
Texto completoCapítulos de libros sobre el tema "ELECTROENCEPHALOGRA"
Ellenbroek, Bart, Alfonso Abizaid, Shimon Amir, Martina de Zwaan, Sarah Parylak, Pietro Cottone, Eric P. Zorrilla et al. "Electroencephalogram". En Encyclopedia of Psychopharmacology, 462. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_605.
Texto completoCasson, Alexander J., Mohammed Abdulaal, Meera Dulabh, Siddharth Kohli, Sammy Krachunov y Eleanor Trimble. "Electroencephalogram". En Seamless Healthcare Monitoring, 45–81. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69362-0_2.
Texto completoEllenbroek, Bart, Alfonso Abizaid, Shimon Amir, Martina de Zwaan, Sarah Parylak, Pietro Cottone, Eric P. Zorrilla et al. "Electroencephalogy". En Encyclopedia of Psychopharmacology, 471–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_616.
Texto completoPavelka, Lauren Connell. "Electroencephalogram (EEG)". En Encyclopedia of Child Behavior and Development, 563–64. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_970.
Texto completoCharman, Tony, Susan Hepburn, Moira Lewis, Moira Lewis, Amanda Steiner, Sally J. Rogers, Annemarie Elburg et al. "Electroencephalogram (EEG)". En Encyclopedia of Autism Spectrum Disorders, 1067–68. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_720.
Texto completoAaronson, Benjamin. "Electroencephalogram (EEG)". En Encyclopedia of Autism Spectrum Disorders, 1665–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_720.
Texto completoLuhmann, Heiko J. "EEG (Electroencephalogram)". En Encyclopedia of Sciences and Religions, 696. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_200675.
Texto completoVogel, Friedrich. "The Problem". En Genetics and the Electroencephalogram, 1–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7_1.
Texto completoVogel, Friedrich. "The Human EEG: General Aspects". En Genetics and the Electroencephalogram, 7–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7_2.
Texto completoVogel, Friedrich. "Genetic Studies:Twin Studies". En Genetics and the Electroencephalogram, 23–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7_3.
Texto completoActas de conferencias sobre el tema "ELECTROENCEPHALOGRA"
Keshishzadeh, Sarineh, Ali Fallah y Saeid Rashidi. "Electroencephalogram Based Biometrics". En the 2018 2nd International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3230820.3230821.
Texto completoMohite, Nilima, Rajveer Shastri, Shankar Deosarkar y Arnab Das. "Epileptic electroencephalogram classification". En 2014 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2014. http://dx.doi.org/10.1109/iccsp.2014.6949885.
Texto completoChandrasiri, M. E., R. M. T. M. Dhanapala, W. G. K. G. Kumari y R. Ranaweera. "PC based Electroencephalogram system". En 2013 IEEE 8th International Conference on Industrial and Information Systems (ICIIS). IEEE, 2013. http://dx.doi.org/10.1109/iciinfs.2013.6731966.
Texto completoHWA, RUDOLPH C. y THOMAS C. FERREE. "FLUCTUATIONS IN HUMAN ELECTROENCEPHALOGRAM". En Proceedings of the 10th International Workshop on Multiparticle Production. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704641_0038.
Texto completoSzu, Harold, Charles Hsu, Gyu Moon, Takeshi Yamakawa y Binh Tran. "Household wireless electroencephalogram hat". En SPIE Defense, Security, and Sensing, editado por Harold Szu y Liyi Dai. SPIE, 2012. http://dx.doi.org/10.1117/12.923669.
Texto completoGeetha, G. "Detecting epileptic seizures using Electroencephalogram". En the Second International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2393216.2393260.
Texto completoGeetha, G. y S. N. Geethalakshmi. "Detecting epileptic seizures using electroencephalogram". En the International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2345396.2345510.
Texto completoRodrigues, Pedro Miguel, Diamantino Freitas y Joao Paulo Teixeira. "Alzheimer's electroencephalogram event scalp localization". En 2015 IEEE 9th International Workshop on Multidimensional (nD) Systems (nDS). IEEE, 2015. http://dx.doi.org/10.1109/nds.2015.7332640.
Texto completoHe, Aijun, Xiaodong Yang, Xi Yang y Xinbao Ning. "Phase Synchronization in Sleep Electroencephalogram". En 2007 IEEE/ICME International Conference on Complex Medical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iccme.2007.4381979.
Texto completoAfroz, Dil y Nafiul Hasan. "Emotion state analysis by Electroencephalogram". En 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE, 2022. http://dx.doi.org/10.1109/iciset54810.2022.9775894.
Texto completoInformes sobre el tema "ELECTROENCEPHALOGRA"
Peterson, Matthew S. Electroencephalogy (EEG) Feedback in Decision-Making. Fort Belvoir, VA: Defense Technical Information Center, julio de 2015. http://dx.doi.org/10.21236/ad1007472.
Texto completoABERDEEN TEST CENTER MD SOLDIER SYSTEMS DIV. Electroencephalogram-Based Measurement of Workload, Engagement, and Fatigue. Fort Belvoir, VA: Defense Technical Information Center, abril de 2011. http://dx.doi.org/10.21236/ada540923.
Texto completoJokeit, H., R. Goertzl, E. Kuchleri y S. Makeig. Event-Related Changes in the 40 Hz Electroencephalogram in Auditory and Visual Reaction Time Tasks. Fort Belvoir, VA: Defense Technical Information Center, enero de 1994. http://dx.doi.org/10.21236/ada379543.
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