Log in

Relevant bibliographies by topics / EEG, electroencephalogram

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'EEG, electroencephalogram'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'EEG, electroencephalogram.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "EEG, electroencephalogram"

1

Miss., N. R. Patil, and S. N. Patil Prof. "Review Wavelet transform based electroencephalogram methods." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 1776–79. https://doi.org/10.31142/ijtsrd11542.

Full text

Abstract:

In this paper, EEG signals are the signatures of neural activities. There have been many algorithms developed so far for processing EEG signals. The analysis of brain waves plays an important role in diagnosis of different brain disorders. Brain is made up of billions of brain cells called neurons, which use electricity to communicate with each other. The combination of millions of neurons sending signals at once produces an enormous amount of electrical activity in the brain, which can be detected using sensitive medical equipment such as an EEG which measures electrical levels over areas of

APA, Harvard, Vancouver, ISO, and other styles

2

Shafait, Saima, Wasim Alamgir, Imran Ahmad, Saeed Arif, Jahanzeb Liaqat, and Asif Hashmat. "A STUDY ON COMPARATIVE YIELDS OF STANDARD SHORT TERM ELECTROENCEPHALOGRAM AND LONG TERM ELECTROENCEPHALOGRAM RECORDING IN SUSPECTED EPILEPSY PATIENTS." PAFMJ 71, no. 5 (2021): 1727–31. http://dx.doi.org/10.51253/pafmj.v71i5.5921.

Full text

Abstract:

Objective: To compare the yield of interictal epileptiform discharges on prolonged (1-2 hours) electroencephalogram (EEG) as compared to standard routine (30 minutes) electroencephalogram (EEG). Study Design: Comparative observational study. Place and Duration of Study: Pak Emirates Military Hospital, Rawalpindi from Oct 2019 to Sep 2020. Methodology: A total of 364 outdoor patients with suspected epilepsy were recruited for the study. Out of these 55 electroencephalograms were excluded after applying exclusion criteria and 309 were included for final analysis. Electro-enceph

APA, Harvard, Vancouver, ISO, and other styles

3

Duarte-Celada, Walter, Samathorn Thakolwiboon, Jie Pan, Tulio Bueso, and Jannatul Ferdous. "Cefepime-induced non-convulsive status epilepticus." Southwest Respiratory and Critical Care Chronicles 12, no. 50 (2024): 38–40. http://dx.doi.org/10.12746/swrccc.v12i50.1277.

Full text

Abstract:

Cefepime-induced non-convulsive status epilepticus (NCSE) can develop in patients with advanced age, renal impairment, and previous central nervous system disorders. Its clinical presentation varies from confusion, mutism, and decreased level of consciousness to coma. The typical electroencephalogram (EEG) findings are generalized spike and wave discharges of 1-3 Hz. We present a case series of 4 patients with cefepime-induced NCSE, including the clinical presentation and EEG findings. Electroencephalograms should be part of the workup of acute confusional state in patients on this antibiotic,

APA, Harvard, Vancouver, ISO, and other styles

4

Golomolzina, Diana Rashidovna, Maxim Alexandrovich Gorodnichev, Evgeny Andreevich Levin, et al. "Advanced Electroencephalogram Processing." International Journal of E-Health and Medical Communications 5, no. 2 (2014): 49–69. http://dx.doi.org/10.4018/ijehmc.2014040103.

Full text

Abstract:

The study of electroencephalography (EEG) data can involve independent component analysis and further clustering of the components according to relation of the components to certain processes in a brain or to external sources of electricity such as muscular motion impulses, electrical fields inducted by power mains, electrostatic discharges, etc. At present, known methods for clustering of components are costly because require additional measurements with magnetic-resonance imaging (MRI), for example, or have accuracy restrictions if only EEG data is analyzed. A new method and algorithm for au

APA, Harvard, Vancouver, ISO, and other styles

5

Rubinos, Clio, Ayham Alkhachroum, Caroline Der-Nigoghossian, and Jan Claassen. "Electroencephalogram Monitoring in Critical Care." Seminars in Neurology 40, no. 06 (2020): 675–80. http://dx.doi.org/10.1055/s-0040-1719073.

Full text

Abstract:

AbstractSeizures are common in critically ill patients. Electroencephalogram (EEG) is a tool that enables clinicians to provide continuous brain monitoring and to guide treatment decisions—brain telemetry. EEG monitoring has particular utility in the intensive care unit as most seizures in this setting are nonconvulsive. Despite the increased use of EEG monitoring in the critical care unit, it remains underutilized. In this review, we summarize the utility of EEG and different EEG modalities to monitor patients in the critical care setting.

APA, Harvard, Vancouver, ISO, and other styles

6

Beer, Nicole A. M. de, Willem L. van Meurs, Marco B. M. Grit, Michael L. Good, and Dietrich Gravenstein. "Educational simulation of the electroencephalogram (EEG)." Technology and Health Care 9, no. 3 (2001): 237–56. http://dx.doi.org/10.3233/thc-2001-9302.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

TuerxunWaili, Yousif Sa’ad Alshebly, Khairul Azami Sidek, and Md Gapar Md Johar. "Stress recognition using Electroencephalogram (EEG) signal." Journal of Physics: Conference Series 1502 (March 2020): 012052. http://dx.doi.org/10.1088/1742-6596/1502/1/012052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Eklöf-Areskog, G., J. P. Aronsson, and L. Petersson. "P24.12 Melatonin for sleep-electroencephalogram (EEG)." Clinical Neurophysiology 122 (June 2011): S172. http://dx.doi.org/10.1016/s1388-2457(11)60619-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Cao, Zehong, Kuan-Lin Lai, Chin-Teng Lin, Chun-Hsiang Chuang, Chien-Chen Chou, and Shuu-Jiun Wang. "Exploring resting-state EEG complexity before migraine attacks." Cephalalgia 38, no. 7 (2017): 1296–306. http://dx.doi.org/10.1177/0333102417733953.

Full text

Abstract:

Objective Entropy-based approaches to understanding the temporal dynamics of complexity have revealed novel insights into various brain activities. Herein, electroencephalogram complexity before migraine attacks was examined using an inherent fuzzy entropy approach, allowing the development of an electroencephalogram-based classification model to recognize the difference between interictal and preictal phases. Methods Forty patients with migraine without aura and 40 age-matched normal control subjects were recruited, and the resting-state electroencephalogram signals of their prefrontal and oc

APA, Harvard, Vancouver, ISO, and other styles

10

Fonseca, Lineu C., Glória M. A. S. Tedrus, Marcelo G. Chiodi, Jaciara Näf Cerqueira, and Josiane M. F. Tonelotto. "Quantitative EEG in children with learning disabilities: analysis of band power." Arquivos de Neuro-Psiquiatria 64, no. 2b (2006): 376–81. http://dx.doi.org/10.1590/s0004-282x2006000300005.

Full text

Abstract:

In order to better understand the mechanisms of learning disabilities it is important to evaluate the electroencephalogram parameters and their relation to the results of the Wechsler Intelligence Scale. Thirty-six children with complaints of learning disability were studied. Electroencephalograms were carried out while awake and resting, and the values for absolute and relative powers calculated. The results were compared with those of 36 healthy children paired with respect to age, gender and maternal scholastic level. In the group with learning disabilities, the absolute (in the delta, thet

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "EEG, electroencephalogram"

1

Liu, Hui. "Online automatic epileptic seizure detection from electroencephalogram (EEG)." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012941.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Duta, Mihaela D. "The study of vigilance using neural networks analysis of EEG." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301454.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

4

Mathew, Blesy Anu. "ENTROPY OF ELECTROENCEPHALOGRAM (EEG) SIGNALS CHANGES WITH SLEEP STATE." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/203.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

5

Riddington, Edward Peter. "Automated interpretation of the background EEG using fuzzy logic." Thesis, University of Plymouth, 1998. http://hdl.handle.net/10026.1/1109.

Full text

Abstract:

A new framework is described for managing uncertainty and for dealing with artefact corruption to introduce objectivity in the interpretation of the electroencephalogram (EEG). Conventionally, EEG interpretation is time consuming and subjective, and is known to show significant inter- and intra-personnel variation. A need thus exists to automate the interpretation of the EEG to provide a more consistent and efficient assessment. However, automated analysis of EEGs by computers is complicated by two major factors. The difficulty of adequately capturing in machine form, the skills and subjective

APA, Harvard, Vancouver, ISO, and other styles

6

D'ROZARIO, Angela Louise. "Electroencephalogram (EEG) biomarkers of neurobehavioural dysfunction in obstructive sleep apnea." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/9886.

Full text

Abstract:

Obstructive sleep apnea (OSA) affects an estimated 2-4% of middle–aged adults yet we are still exploring how best to delineate the neurophysiological deficits that accompany this disorder. Untreated OSA leads to an increased risk of motor vehicle accidents. Traditional polysomnographic (PSG) metrics do not consistently correlate with daytime functioning. There is a clinical need for simple biomarkers to identify individuals susceptible to OSA-related cognitive deficits. There is a close relationship between EEG-based changes in brain activity and daytime function in healthy sleepers. No studi

APA, Harvard, Vancouver, ISO, and other styles

7

Löfhede, Johan. "Classification of Burst and Suppression in the Neonatal EEG." Licentiate thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3448.

Full text

Abstract:

The brain requires a continuous supply of oxygen and even a short period ofreduced oxygen supply risks severe and lifelong consequences for theaffected individual. The delivery is a vulnerable period for a baby who mayexperience for example hypoxia (lack of oxygen) that can damage the brain.Babies who experience problems are placed in an intensive care unit wheretheir vital signs are monitored, but there is no reliable way to monitor thebrain directly. Monitoring the brain would provide valuable informationabout the processes going on in it and could influence the treatment and helpto improve

APA, Harvard, Vancouver, ISO, and other styles

8

Murrell, Joanna. "Spontaneous EEG changes in the equine surgical patient." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340352.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

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

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

10

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

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

More sources

Books on the topic "EEG, electroencephalogram"

1

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Kam, Julia W. Y., and Todd C. Handy. Electroencephalogram Recording in Humans. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0006.

Full text

Abstract:

This chapter provides an elementary introduction to the theory and practical application of electroencephalogram (EEG) recording for the purpose of studying neurocognitive processes. It is aimed at readers who have had little or no experience in EEG data collection, and would like to gain a better understanding of scientific papers employing this methodology or start their own EEG experiment. We begin with a definition of EEG, and a summary of the strengths and limitations of EEG-based techniques. Following this is a description of the basic theory concerning the cellular mechanisms underlying

APA, Harvard, Vancouver, ISO, and other styles

3

Vespa, Paul M. Electroencephalogram monitoring in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0221.

Full text

Abstract:

Electroencephalography monitoring provides a method for monitoring brain function, which can complement other forms of monitoring, such as monitoring of intracranial pressure and derived parameters, such as cerebral perfusion pressure. Continuous electroencephalogram (EEG) monitoring can be helpful in seizure detection after brain injury and coma. Seizures can be detected by visual inspection of the raw EEG and/or processed EEG data. Treatment of status epilepticus can be improved by rapid identification and abolition of seizures using continuous EEG. Quantitative EEG can also be used to detec

APA, Harvard, Vancouver, ISO, and other styles

4

Pearl, Phillip L., Jules Beal, Monika Eisermann, et al. Normal EEG in Wakefulness and Sleep. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0007.

Full text

Abstract:

Electroencephalogram (EEG) interpretation depends on accurate pattern recognition. One of the first lessons the novice electroencephalographer learns is that EEG pattern interpretation must take into account the patient’s age and the level of vigilance, or state. EEG patterns vary according to central nervous system development and maturation. This process evolves over time, starting with the early development and maturation of the nervous system (an evolution) to a peak of maturity, followed by an involution. Basic differences exist between the ascending (developmental) and descending (involu

APA, Harvard, Vancouver, ISO, and other styles

5

Krishnan, Vaishnav, Bernard S. Chang, and Donald L. Schomer. Normal EEG in Wakefulness and Sleep. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0008.

Full text

Abstract:

The normal adult electroencephalogram (EEG) is not a singular entity, and recognizing and appreciating the various expressions of a normal EEG is vital for any electroencephalographer. During wakefulness, the posterior dominant rhythm (PDR) must display a frequency within the alpha band, although an absent PDR is not abnormal. A symmetrically slowed PDR, excessive theta activity, or any delta activity during wakefulness is abnormal and a biomarker of encephalopathy. Low-voltage EEGs have been associated with a variety of neuropathological states but are themselves not abnormal. During non-rapi

APA, Harvard, Vancouver, ISO, and other styles

6

Butkov, Nic. Polysomnography. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0007.

Full text

Abstract:

This chapter provides an overview of the sleep recording process, including the application of electrodes and sensors to the patient, instrumentation, signal processing, digital polysomnography (PSG), and artifact recognition. Topics discussed include indications for PSG, standard recording parameters, patient preparation, electrode placement for recording the electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG), the use of respiratory transducers, oximetry, signal processing, filters, digital data display, electrical safety, and patient monitor

APA, Harvard, Vancouver, ISO, and other styles

7

Lüders, Hans O., Soheyl Noachtar, and Jan Rémi. Electroencephalography. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/med/9780197502334.001.0001.

Full text

Abstract:

Abstract This book is an instructional textbook and reference atlas, serving as an instruction guide for the beginner in electroencephalography and as a reference atlas for the experienced electroencephalogram (EEG) reader. It provides a highly systematic guide of the process of understanding and interpreting EEG. The book systematically describes abnormal EEG findings and their differentiation from normal variants, which may imitate the abnormal EEG patterns. It provides normal and abnormal EEG patterns in a structured classification based on more than 400 figures. All EEG examples shown in t

APA, Harvard, Vancouver, ISO, and other styles

8

Gaitanis, John, Phillip L. Pearl, and Howard Goodkin. The EEG in Degenerative Disorders of the Central Nervous System. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0013.

Full text

Abstract:

Nervous system alterations can occur at any stage of prenatal or postnatal development. Any of these derangements, whether environmental or genetic, will affect electrical transmission, causing electroencephalogram (EEG) alteration and possibly epilepsy. Genetic insults may be multisystemic (for example, neurocutaneous syndromes) or affect only the brain. Gene mutations account for inborn errors of metabolism, channelopathies, brain malformations, and impaired synaptogenesis. Inborn errors of metabolism cause seizures and EEG abnormalities through a variety of mechanisms, including disrupted e

APA, Harvard, Vancouver, ISO, and other styles

9

Koutroumanidis, Michalis, and Robin Howard. Encephalopathy, central nervous system infections, and coma. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0032.

Full text

Abstract:

This chapter provides an overview of the indications for and the diagnostic and prognostic value of acute video-electroencephalogram (EEG) and continuous video-EEG monitoring in patients with encephalopathies, encephalitides, and coma. Particular emphasis is placed on the detection of non-convulsive seizures and non-convulsive status epilepticus secondary to acute and sub-acute cerebral insults, including post-cardiac arrest hypoxic-ischaemic brain injury, and on the related pitfalls and uncertainties. It also discusses key technical aspects of the EEG recording, including artefact identificat

APA, Harvard, Vancouver, ISO, and other styles

10

Luginbühl, Martin, and Arvi Yli-Hankala. Assessment of the components of anaesthesia. Edited by Antony R. Wilkes and Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0026.

Full text

Abstract:

In modern anaesthesia practice, hypnotic drugs, opioids, and neuromuscular blocking agents (NMBAs) are combined. The introduction of NMBAs in particular substantially increased the risk of awareness and recall during general anaesthesia. Hypnotic drugs such as propofol and volatile anaesthetics act through GABAA receptors and have typical effects on the electroencephalogram (EEG). During increasing concentrations of these pharmaceuticals, the EEG desynchronization is followed by gradual synchronization, slowing frequency, and increasing amplitude of EEG, thereafter EEG suppressions (burst supp

APA, Harvard, Vancouver, ISO, and other styles

More sources

Book chapters on the topic "EEG, electroencephalogram"

1

Pavelka, Lauren Connell. "Electroencephalogram (EEG)." In Encyclopedia of Child Behavior and Development. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_970.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Charman, Tony, Susan Hepburn, Moira Lewis, et al. "Electroencephalogram (EEG)." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_720.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Suri, Vinit. "Electroencephalogram (EEG)." In Clinical Neurological Examination and Localization. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0579-5_36.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Aaronson, Benjamin. "Electroencephalogram (EEG)." In Encyclopedia of Autism Spectrum Disorders. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_720.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Luhmann, Heiko J. "EEG (Electroencephalogram)." In Encyclopedia of Sciences and Religions. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_200675.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Vogel, Friedrich. "The Human EEG: General Aspects." In Genetics and the Electroencephalogram. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7_2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Vogel, Friedrich. "Event-Related (Evoked) EEG Potentials." In Genetics and the Electroencephalogram. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7_5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Yao, Dezhong. "EEG Reference Selection." In The Physics and Mathematics of Electroencephalogram. CRC Press, 2024. http://dx.doi.org/10.1201/9781032639260-14.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Yao, Dezhong. "Overview of EEG." In The Physics and Mathematics of Electroencephalogram. CRC Press, 2024. http://dx.doi.org/10.1201/9781032639260-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Vogel, Friedrich. "Family Studies on the Normal EEG." In Genetics and the Electroencephalogram. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57040-7_4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "EEG, electroencephalogram"

1

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Ghazi, Mohd Rehan, and Ninad Gangodkar. "Classifying the Eye states based on Electroencephalogram (EEG) signals using Ensemble methods." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10726071.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Yasin, Sana, Imran Raza, Alice Othmani, and Syed Asad Hussain. "AI-Enabled Electroencephalogram (EEG) Analysis for Depression Relapse Detection in Quadriplegic Patients." In 2024 International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS). IEEE, 2024. http://dx.doi.org/10.1109/iccims61672.2024.10690640.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Andreea, Gomboş, Pena Mădălina, and Emilian Ceuca. "Measurement and Analysis of Electroencephalogram (EEG) Signals Using Pre-Amplification and Filtering Techniques." In 2024 IEEE 30th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2024. https://doi.org/10.1109/siitme63973.2024.10814851.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Kang, SeYeon, JuEun Cho, and HanJong Jun. "Electroencephalogram (EEG) based Emotional Lighting Design Using Deep-Learning for a User-Centric Approach." In CAADRIA 2024: Accelerated Design. CAADRIA, 2024. http://dx.doi.org/10.52842/conf.caadria.2024.3.391.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Chauhan, Naman, Riya Tomar, Pranshul Atri, Chhavi Chauhan, Abhijith Prakash, and Aditya Vikram. "Advancing Brain State Classification through Electroencephalogram (EEG) Analysis: Exploring Diverse Models for Improved Classification." In 2024 7th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2024. https://doi.org/10.1109/ic3i61595.2024.10829169.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Silitonga, Glori Mariani, Melinda Melinda, Prima Dewi Purnamasari, Emerson Sinulingga, Abdul Risyal Nasution, and Fahmi Fahmi. "Wearable Microstrip Patch Antenna to Develop Wireless Body Area Network for Electroencephalogram (EEG) Application." In 2024 8th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM). IEEE, 2024. https://doi.org/10.1109/elticom64085.2024.10864924.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Brintha, N. C., Inumula Kalyan Kumar, Kondoju Gunasri, Kanumukkala Balaji, and Kancham Shivathmika. "Early Detection of Schizophrenia Using Electroencephalogram (EEG) Signals with a Convolutional Neural Network (CNN) Model." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10864347.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

M, Sathish, M. S. Geetha Devasena, Saravanan B, and Sudharsan Kumar S. "An Analytical framework for Classification of ElectroEncephaloGram (EEG) Motor Imagery tasks using Deep Learning Techniques." In 2024 International Conference on Emerging Research in Computational Science (ICERCS). IEEE, 2024. https://doi.org/10.1109/icercs63125.2024.10895156.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Khairunizam, Wan, A. R. S. Harsono, W. Y. Choong, and Wan Azani Mustafa. "Analysis the Effect of Listening Music on the Human Brain by Using Electroencephalogram (EEG) Technique." In 2025 17th International Conference on Computer and Automation Engineering (ICCAE). IEEE, 2025. https://doi.org/10.1109/iccae64891.2025.10980594.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "EEG, electroencephalogram"

1

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!