Relevant bibliographies by topics / EEGs (electroencephalograph)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'EEGs (electroencephalograph)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "EEGs (electroencephalograph)"

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Amiraslany, A., A. Khan, F. Moien-Afshari, PK Wong, and S. Almubarak. "P.075 The trend of electroencephalograph findings after starting anti-epileptic drugs during seizure assessment in children." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 44, S2 (2017): S32. http://dx.doi.org/10.1017/cjn.2017.159.

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Background: Few studies have explored the effects of anti-epileptic drugs (AEDs) on electroencephalograph (EEG) findings during the assessment of seizure management. Although a patient may reach seizure freedom, EEG results may continue to be abnormal. Further information is required to understand the trend of EEG findings during seizure treatment. Methods: This is a retrospective study based on chart reviews. Patients who had epilepsy evaluations at the Royal University Hospital in Saskatoon between January 2012 and December 2015, were selected. The relationships among time of initiating AEDs
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M., Salah Elmagzoub, F. Abdalla Sami, and A. Babikir Hiba. "EEG Characterizations and Clinical Features in Sudanese Patients with Panayiotopoulos Syndrome." International Neuropsychiatric Disease Journal 9, no. 2 (2017): 1–6. https://doi.org/10.9734/INDJ/2017/32646.

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<strong>Introduction:</strong> Panayiotopoulos syndrome (PS) is an age-related, and a relatively frequent benign epileptic syndrome, characterised by predominantly autonomic symptoms and/or simple motor focal seizures followed, or not, by impairment of consciousness. Interictal electroencephalograph (EEG) shows occipital spikes, although multifocal spikes with high amplitude sharp-slow wave complexes at various locations can be present.PS mimics gastroenteritis, encephalitis, syncope, migraine, sleep disorders or metabolic diseases. <strong>Aim:</strong> The aim was to characterise the EEG wav
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Dede, Hava Ozlem, Nerses Bebek, Ozlem Gelisin, et al. "Lateralized periodic discharges associated with status epilepticus in the first year after stroke." Journal of Epileptology 24, no. 1 (2016): 15–23. http://dx.doi.org/10.1515/joepi-2016-0002.

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Summary Backgrand. Lateralized periodic discharges (LPDs) are infrequent electroencephalograph (EEG) findings, and may present in ictal or interictal form. They are regarded as potential electrophysiologic signs of convulsive or nonconvulsive status epilepticus (NCSE). We report four patients who presented with NCSE and one who presented with convulsive status epilepticus in the postictal period, characterized by LPDs in EEG recordings in the first year after stroke. Material and methods. We prospectively evaluated patients who clinically presented with status epilepticus associated LPDs betwe
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Camfield, Peter, Kevin Gordon, Carol Camfield, John Tibbies, Joseph Dooley, and Bruce Smith. "EEG Results are Rarely the Same if Repeated within Six Months in Childhood Epilepsy." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 22, no. 4 (1995): 297–300. http://dx.doi.org/10.1017/s0317167100039512.

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AbstractObjectiveTo assess the reliability of interictal spike discharge in routine electroencephalography (EEG) testing in children.MethodEEG results of all children diagnosed in Nova Scotia with epilepsy onset between 1977–85 (excluding myoclonic, akinetic-atonic and absence) were reviewed. The results of the EEG at time of diagnosis (EEG1) were compared with those of a second EEG (EEG2) within 6 months.ResultsOf 504 children with epilepsy, 159 had both EEG1 and EEG2. EEG2 was more likely ordered if EEG1 was normal or showed focal slowing but less likely if EEG1 contained sleep (p &lt; 0.05)
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Bruhn, Jörgen, Thomas W. Bouillon, Andreas Hoeft, and Steven L. Shafer. "Artifact Robustness, Inter- and Intraindividual Baseline Stability, and Rational EEG Parameter Selection." Anesthesiology 96, no. 1 (2002): 54–59. http://dx.doi.org/10.1097/00000542-200201000-00015.

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Background Artifact robustness (i.e., size of deviation of an electroencephalographic parameter value from baseline caused by artifacts) and baseline stability (i.e., consistency of median baseline values) of electroencephalographic parameters profoundly influence electroencephalography-based pharmacodynamic parameter estimation and the usefulness of the processed electroencephalogram as measure of the arousal state of the central nervous system (depth of anesthesia). In this study, the authors compared the artifact robustness and the interindividual and intraindividual baseline stability of s
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Naseri, Motahareh, Sahar Sadeghi, Milad Malekipirbazari, et al. "Interaction of Cooking-Generated Aerosols on the Human Nervous System and the Impact of Caloric Restriction Post-Exposure." Nutrients 16, no. 20 (2024): 3525. http://dx.doi.org/10.3390/nu16203525.

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Background: The inhalation of cooking-generated aerosols could lead to translocation to the brain and impact its function; therefore, the effects of cooking-generated aerosols on healthy adults were investigated using an electroencephalograph (EEG) during the 2 h period post-exposure. Methods: To explore any changes from the impact of exposure to cooking-generated aerosols on the human brain due to the absence of food intake during exposure, we divided the study participants into three groups: (A) no food intake for 2 h (2 h-zero calorie intake), (B) non-zero calorie intake, and (C) control gr
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Raghu, S., N. Sriraam, and G. Pradeep Kumar. "Effect of Wavelet Packet Log Energy Entropy on Electroencephalogram (EEG) Signals." International Journal of Biomedical and Clinical Engineering 4, no. 1 (2015): 32–43. http://dx.doi.org/10.4018/ijbce.2015010103.

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The scaling behavior of human electroencephalogram (EEG) signals is well exploited by appropriate extraction of time – frequency domain and entropy based features. Such measurable inherently helps understanding the neurophysiological phenomenon of brain as well as its associated cortical activities. Being a non-linear time series, EEG's are assumed to be fragment of fluctuations. Several attempts have been made to study the EEG signals for clinical applications such as epileptic seizure detection, evoked response potential recognition, tumor detection, identification of alcoholics and so on. I
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Gu, Feng, Anmin Gong, Yi Qu, et al. "Research on Top Archer’s EEG Microstates and Source Analysis in Different States." Brain Sciences 12, no. 8 (2022): 1017. http://dx.doi.org/10.3390/brainsci12081017.

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The electroencephalograph (EEG) microstate is a method used to describe the characteristics of the EEG signal through the brain scalp electrode potential’s spatial distribution; as such, it reflects the changes in the brain’s functional state. The EEGs of 13 elite archers from China’s national archery team and 13 expert archers from China’s provincial archery team were recorded under the alpha rhythm during the resting state (with closed eyes) and during archery aiming. By analyzing the differences between the EEG microstate parameters and the correlation between these parameters with archery
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Zhang, Yanli, Tao Yu, Jianing Cui, Qiuyu Fu, Gang Ning, and Rong Luo. "An 8-Year 5-Month-Old Boy with a Basal Ganglia Lesion with Triphasic Waves on Electroencephalogram." Actas Españolas de Psiquiatría 52, no. 5 (2024): 741–47. http://dx.doi.org/10.62641/aep.v52i5.1741.

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Background: Triphasic waves (TWs) on electroencephalograms (EEGs) have predominantly been observed in adults, often associated with Creutzfeldt‒Jakob disease and metabolic encephalopathy. However, TWs have also been linked to various nonmetabolic and structural abnormalities. Additionally, reports of TWs in children are rare. Case Presentation: We present the case of an 8-year and 5-month-old boy with basal ganglia lesion who exhibited TWs in the local C3 lead on electroencephalography. Subsequent EEGs revealed no additional abnormalities. During the follow-up at 1 year and 8 months, there was
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Del Brutto, Oscar. "Electroencefalografía en Tiempos de COVID-19." Revista Ecuatoriana de Neurologia 29, no. 2 (2020): 14–15. http://dx.doi.org/10.46997/revecuatneurol29200014.

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El electroencefalograma (EEG) es de gran utilidad diagnóstica en la evaluación de pacientes neurológicos, no solamente en personas con epilepsia, sino también en aquellos con encefalopatías focales o difusas de origen estructural, tóxico, metabólico o infeccioso. Por tratarse, en la mayoría de los casos, de un procedimiento que puede ser programado sin mayor urgencia, la pandemia de SARS-CoV-2 ha condicionado una reducción considerable en el número de EEGs realizados. De hecho, una encuesta realizada en 206 centros neurofisiológicos en Italia, demostró una reducción en las tres cuartas partes
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Dissertations / Theses on the topic "EEGs (electroencephalograph)"

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Ascolani, Gianluca. "EEG, Alpha Waves and Coherence." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc28389/.

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This thesis addresses some theoretical issues generated by the results of recent analysis of EEG time series proving the brain dynamics are driven by abrupt changes making them depart from the ordinary Poisson condition. These changes are renewal, unpredictable and non-ergodic. We refer to them as crucial events. How is it possible that this form of randomness be compatible with the generation of waves, for instance alpha waves, whose observation seems to suggest the opposite view the brain is characterized by surprisingly extended coherence? To shed light into this apparently irretrievable co
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Huang, Dandan. "Electroencephalography (EEG)-based brain computer interfaces for rehabilitation." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2761.

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Objective: Brain-computer interface (BCI) technologies have been the subject of study for the past decades to help restore functions for people with severe motor disabilities and to improve their quality of life. BCI research can be generally categorized by control signals (invasive/non-invasive) or applications (e.g. neuroprosthetics/brain-actuated wheelchairs), and efforts have been devoted to better understand the characteristics and possible uses of brain signals. The purpose of this research is to explore the feasibility of a non-invasive BCI system with the combination of unique sensorim
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Koppikar, Samir Dilip. "Privacy Preserving EEG-based Authentication Using Perceptual Hashing." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc955127/.

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The use of electroencephalogram (EEG), an electrophysiological monitoring method for recording the brain activity, for authentication has attracted the interest of researchers for over a decade. In addition to exhibiting qualities of biometric-based authentication, they are revocable, impossible to mimic, and resistant to coercion attacks. However, EEG signals carry a wealth of information about an individual and can reveal private information about the user. This brings significant privacy issues to EEG-based authentication systems as they have access to raw EEG signals. This thesis proposes
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Sellergren, Albin, Tobias Andersson, and Jonathan Toft. "Signal processing through electroencephalography : Independent project in electrical engineering." Thesis, Uppsala universitet, Elektricitetslära, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298771.

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This report is about a project where electroencephalography (EEG) wasused to control a two player game. The signals from the EEG-electrodeswere amplified, filtered and processed. Then the signals from the playerswere compared and an algorithm decided what would happen in the gamedepending on which signal was largest. The controls and the gaming mechanismworked as intended, however it was not possible to gather a signal fromthe brain with the method used in this project. So ultimately the goal wasnot reached.<br>electroencephalography, EEG
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Liu, Hui. "Online automatic epileptic seizure detection from electroencephalogram (EEG)." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012941.

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Tcheslavski, Gleb V. "Coherence and Phase Synchrony Analysis of Electroencephalogram." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/30186.

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Phase Synchrony (PS) and coherence analyses of stochastic time series - tools to discover brain tissue pathways traveled by electrical signals - are considered for the specific purpose of processing of the electroencephalogram (EEG). We propose the Phase Synchrony Processor (PSP), as a tool for implementing phase synchrony analysis, and examine its properties on the basis of known signals. Long observation times and wide filter bandwidths can decrease bias in PS estimates. The value of PS is affected by the difference in frequency of the sequences being analyzed and can be related to that freq
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Lee, Pamela Wen-Hsin. "Mutual information derived functional connectivity of the electroencephalogram (EEG)." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/219.

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Monitoring the functional connectivity between brain networks is becoming increasingly important in elucidating brain functionality in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlation and coherence are limited by the fact that they assume stationarity of the relationship between channels, and rely on linear dependencies. Here we utilize mutual information (MI) as the metric for determining nonlinear statistical dependencies between electroencephalographic (EEG) channels. Previous work investigating MI between EEG channels in subjects with
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Mathew, Blesy Anu. "ENTROPY OF ELECTROENCEPHALOGRAM (EEG) SIGNALS CHANGES WITH SLEEP STATE." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/203.

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We hypothesized that temporal features of EEG are altered in sleep apnea subjects comparedto normal subjects. The initial aim was to develop a measure to discriminate sleep stages innormals. The longer-term goal was to apply these methods to identify differences in EEGactivity in sleep apnea subjects from normals. We analyzed the C3A2 EEG and anelectrooculogram (EOG) recorded from 9 normal adults awake and in rapid eye movement(REM) and non-REM sleep. The EEG signals were filtered to remove EOG contamination. Twomeasures of the irregularity of EEG signals, Sample Entropy (SpEn) and Tsallis Ent
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Bismark, Andrew W. "The Heritability Of And Genetic Contributions To, Frontal Electroencephalography." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/332852.

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The heritability of frontal EEG asymmetry, a potential endophenotype for depression, was investigated using a large set of adolescent and young adult twins. Additionally, the relationship between polymorphisms within three serotonin genes, two receptor genes and one transporter gene, and frontal EEG asymmetry was also investigated. Using Falconer's estimate, frontal EEG asymmetry was shown to be more heritable at lateral compared to medial cites across nearly all reference montages, and greater in males compared to females. Using structural equation modeling (SEM), and investigating both addit
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Boyle, Stephanie Claire. "Investigating the neural mechanisms underlying audio-visual perception using electroencephalography (EEG)." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/8874/.

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Traditionally research into how we perceive our external world focused on the unisensory approach, examining how information is processed by one sense at a time. This produced a vast literature of results revealing how our brains process information from the different senses, from fields such as psychophysics, animal electrophysiology, and neuroimaging. However, we know from our own experiences that we use more than one sense at a time to understand our external world. Therefore to fully understand perception, we must understand not only how the brain processes information from individual sens
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Books on the topic "EEGs (electroencephalograph)"

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National Institutes of Health (U.S.). Office of Clinical Center Communications, ed. EEG (electroencephalogram). Clinical Center Communications, National Institutes of Health, 1989.

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Erlichman, Martin. Electroencephalographic (EEG) video monitoring. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research, 1990.

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Greenfield, L. John. Reading EEGs: A practical approach. Lippincott Williams & Wilkins, 2010.

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John, Greenfield L., Geyer James D, and Carney Paul R, eds. Reading EEGs: A practical approach. Lippincott Williams & Wilkins, 2010.

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R, Hughes John. EEG in clinical practice. 2nd ed. Butterworth-Heinemann, 1994.

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Fisch, Bruce J. Fisch and Spehlmann's EEG primer: Basic principles of digital and analog EEG. 3rd ed. Elsevier, 1999.

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1933-, Zschocke S., and Speckmann Erwin-Josef, eds. Basic mechanisms of the EEG. Birkhäuser, 1993.

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Rajna, P. The EEG atlas of adulthood epilepsy. Innomark, 1990.

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International Workshop on Statistics and Topographic Problems in Quantitative EEG. (1988 Rouen, France). Statistics and topography in quantitative EEG: Proceedings of the International Workshop on Statistics and Topographic Problems in Quantitative EEG, Rouen, France, March 6-9, 1988. Edited by Samson-Dollfus D. Elsevier, 1988.

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Laoprasert, Pramote. Atlas of pediatric EEG. McGraw-Hill Companies, Inc., 2011.

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Book chapters on the topic "EEGs (electroencephalograph)"

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Brienza, Marianna, Chiara Davassi, and Oriano Mecarelli. "Ambulatory EEG." In Clinical Electroencephalography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04573-9_17.

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Tassi, Laura. "Invasive EEG." In Clinical Electroencephalography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04573-9_19.

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García, Adolfo M., Roman Koshkin, and Tiago de Oliveira Paiva. "Electroencephalography." In Research Methods in Applied Linguistics. John Benjamins Publishing Company, 2025. https://doi.org/10.1075/rmal.10.12gar.

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Abstract Since the 2000s, neuroscientific approaches have gained momentum in cognitive translation and interpreting studies (CTIS). Temporally precise insights on interlingual reformulation have been gained through electroencephalography (EEG), a non-invasive method sensitive to underlying electrical patterns. Here we introduce this method with a focus on CTIS research. First, we survey core notions and measures, including event-related potentials, oscillatory measures, and functional connectivity patterns. Then, we summarize key EEG findings on language, bilingualism, and interlingual reformu
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Freeman, Walter J., and Rodrigo Quian Quiroga. "Electroencephalography." In Imaging Brain Function With EEG. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4984-3_1.

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Brilla, Roland. "Electroencephalography (EEG)." In Pain. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99124-5_46.

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Tavares, Tamara Paulo. "Electroencephalography (EEG)." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_748.

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Tavares, Tamara Paulo. "Electroencephalography (EEG)." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_748-1.

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Sood, Suraj. "Electroencephalography (EEG)." In Brain Technology in Augmented Cognition. CRC Press, 2024. http://dx.doi.org/10.1201/9781032692982-3.

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Vaudano, Anna Elisabetta, Nicoletta Azzi, and Irene Trippi. "Normal Sleep EEG." In Clinical Electroencephalography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04573-9_10.

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Mastrangelo, Massimo, Barbara Scelsa, and Francesco Pisani. "Normal Neonatal EEG." In Clinical Electroencephalography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04573-9_11.

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Conference papers on the topic "EEGs (electroencephalograph)"

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Rojas Tocora, Angélica María, Oliver Müller, Alvaro D. Orjuela-Cañón, and Victor A. Ortíz. "Characterization of Electroencephalography (EEG) Responses to Musical Stimuli." In 2024 3rd International Congress of Biomedical Engineering and Bioengineering (CIIBBI). IEEE, 2024. https://doi.org/10.1109/ciibbi63846.2024.10784971.

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Putri Pribadyo, Claresta Yasmine, Maya Arlini Puspasari, Jeanne Risananda Sharone, and Danu Hadi Syaifullah. "Mental Workload Modeling in Hospital Nurses' Using Electroencephalogram (EEG)." In 2024 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC). IEEE, 2024. https://doi.org/10.1109/temscon-aspac62480.2024.11025093.

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Chen, Zheng, Lingwei Zhu, Ziwei Yang, and Renyuan Zhang. "Multi-Tier Platform for Cognizing Massive Electroencephalogram." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/342.

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An end-to-end platform assembling multiple tiers is built for precisely cognizing brain activities. Being fed massive electroencephalogram (EEG) data, the time-frequency spectrograms are conventionally projected into the episode-wise feature matrices (seen as tier-1). A spiking neural network (SNN) based tier is designed to distill the principle information in terms of spike-streams from the rare features, which maintains the temporal implication in the nature of EEGs. The proposed tier-3 transposes time- and space-domain of spike patterns from the SNN; and feeds the transposed pattern-matrice
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Siravenha, Ana, Walisson Gomes, Renan Tourinho, Sergio Viademonte, and Bruno Gomes. "Classification of productive profile using brain signals: Deep learning and neuroscience meets the mining industry." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2021. http://dx.doi.org/10.21528/cbic2021-96.

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Classification of electroencephalography (EEG) signals is a complex task. EEG is a non-stationary time process with low signal to noise ratio. Among many methods usedfor EEG classification, those based on Deep Learning (DL) have been relatively successful in providing high classification accuracies. In the present study we aimed at classify resting state EEGs measured from workers of a mining complex. Just after the EEG has been collected, the workers undergonetraining in a 4D virtual reality simulator that emulates the iron ore excavation from which parameters related to their performance wer
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Horie, Ryota, and Kenta Kaneko. "Imitated Mind Uploading by Using Electroencephalography." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100546.

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In recent years, technology of brain-computer interface has been developed, and the technology has potential extensibility in combination with ubiquitous environments. In science fiction, an idea that personality is copied to a computational device by scanning brain activity, called mind uploading, ghost dubbing, and so on, has been frequently represented. If the idea becomes realized in a future ubiquitous world, design of highly human-friendly interfaces is expected. In this study, as a step towards realizing the idea, we proposed a method to imitate the mind uploading by using electroenceph
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Lovelace, Joseph A., Tyler S. Witt, and Fred R. Beyette. "Bluetooth enabled electroencephalograph (EEG) platform." In 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2013. http://dx.doi.org/10.1109/mwscas.2013.6674862.

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Physiological Indices Study, A. "Effects of Inhaling Essential Oil on Decreasing Mental Fatigue:." In Applied Human Factors and Ergonomics Conference. AHFE International, 2019. http://dx.doi.org/10.54941/ahfe100230.

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Essential oil inhalation is one of the important aromatherapy. Essential oils are always used to dispel fatigue by officer workers. Owing to lack of objective measured data of the effect on decreasing fatigue for essential oil, the reliability of subjective experiment from questionnaire has always been challenged. The purpose of this study is to evaluate the effect on decreasing mental fatigue for inhaling essential oil by using physiological indices including Electroencephalogram (EEG) and heart rate variability (HRV). The basic and ratio indices of EEG power reflecting the drowsiness and rel
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Tribak, Ibtissam Ghailan, Judit Ciarrusta, Chiara Santolin, et al. "Perception of speech structures in six month-old infants: a multimodal study." In Clinical and Translational Biophotonics. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/translational.2024.js4a.30.

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Functional diffuse correlation spectroscopy (fDCS) and electroencephalography (EEG) based platform is implemented to study language perception in six months-old infants for the first time as an infant-friendly multimodal tool for neuroimaging.
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Cimpanu, Corina, Tiberius Dumitriu, and Florina Ungureanu. "INSTRUCTIONAL DESIGN BASED ON THE ASSESSMENT OF COGNITIVE LOAD AND WORKING MEMORY LOAD." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-078.

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Instruction is usually designed based on the cognitive load theory. Human cognition can be portrayed as a native information processing system while handling biologically secondary information, which works similarly to the information processing during evolution by natural selection. There is a critical aspect to be taken into account assuming that human cognition does not explicitly evolve to learn topics that require domain-specific knowledge. This characteristic of human cognition strongly related to the capacity of working memory is essential for the development of a germane architecture t
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Wu, Menglu, and Xiaolin Chen. "Tikhonov Regularization Methods for the Inverse Scalp Electroencephalography." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10538.

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Electroencephalography (EEG) source localization of brain activity is of high diagnostic value. Noninvasive numerical procedures can be developed to help reconstruct the cortical brain activities from the low-spatial-resolution scalp EEG measurement. In this paper, Tikhonov regularization methods are employed to tackle the solution difficulty associated with the ill-posed reconstruction problem. Three different techniques, namely the L-curve method, the generalized cross validation (GCV) and the discrepancy principle (DP), are implemented to help identify an optimum parameter for the numerical
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Reports on the topic "EEGs (electroencephalograph)"

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Engheta, Nader, Edward N. Pugh, and Jr. Selected Electromagnetic Problems in Electroencephalography (EEG) Fields in Complex Media and Small Radiating Elements in Dissipative Media. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada428876.

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Whitaker, Keith W., and W. D. Hairston. Assessing the Minimum Number of Synchronization Triggers Necessary for Temporal Variance Compensation in Commercial Electroencephalography (EEG) Systems. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada568650.

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Madsen, Jens, Nikhil Kuppa, and Lucas Parra. The Brain, Body, and Behaviour Dataset - Neural Engineering Lab, CCNY. Fcp-indi, 2025. https://doi.org/10.15387/fcp_indi.retro.bbbd.

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When humans engage with video, their brain and body interact in response to sensory input. To investigate these interactions, we recorded and are releasing a dataset from N=178 participants across five experiments featuring short online educational videos. This dataset comprises approximately 110 hours of multimodal data including electrocardiogram (ECG), heart rate, respiration, breathing rate, pupil size, electrooculogram (EOG), gaze position, saccades, blinks, fixations, head movement, and electroencephalogram (EEG). Participants viewed 3-6 videos (mean total duration: 28±5 min) to test att
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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from t
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Rawal, Sandhya. Weighted Phase Lag Index (WPLI) as a Method for Identifying Task-Related Functional Networks in Electroencephalography (EEG) Recordings during a Shooting Task. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada558399.

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EEG data might help identify children at risk for social anxiety. ACAMH, 2021. http://dx.doi.org/10.13056/acamh.15048.

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Electroencephalography (EEG) is a non-invasive method to monitor the electrical activity of the brain. There are five main broad frequency bands in the EEG power spectrum: alpha, beta, gamma, delta and theta. Data suggest that EEG-derived delta–beta coupling — indicating related activity in the delta and beta frequency bands — might serve as a marker of emotion regulation.
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