Auswahl der wissenschaftlichen Literatur zum Thema „Clinical EEG data“
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Zeitschriftenartikel zum Thema "Clinical EEG data"
Járdánházy, T., I. Somogyi und T. Asztalos. „Compression methods for EEG spectral data“. Electroencephalography and Clinical Neurophysiology 87, Nr. 2 (August 1993): S133. http://dx.doi.org/10.1016/0013-4694(93)91489-n.
Der volle Inhalt der QuelleBanquet, J. P., W. Guenther und D. Breitling. „Multidimensional factorial methods for EEG data“. Electroencephalography and Clinical Neurophysiology 61, Nr. 3 (September 1985): S231. http://dx.doi.org/10.1016/0013-4694(85)90874-0.
Der volle Inhalt der QuelleAntony, Mary Judith, Baghavathi Priya Sankaralingam, Shakir Khan, Abrar Almjally, Nouf Abdullah Almujally und Rakesh Kumar Mahendran. „Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data“. Diagnostics 13, Nr. 17 (03.09.2023): 2852. http://dx.doi.org/10.3390/diagnostics13172852.
Der volle Inhalt der QuelleGu, Yuqiao, Geir Halnes, Hans Liljenström und Björn Wahlund. „A cortical network model for clinical EEG data analysis“. Neurocomputing 58-60 (Juni 2004): 1187–96. http://dx.doi.org/10.1016/j.neucom.2004.01.184.
Der volle Inhalt der QuelleGoldenholz, Daniel M., Joseph J. Tharayil, Rubin Kuzniecky, Philippa Karoly, William H. Theodore und Mark J. Cook. „Simulating clinical trials with and without intracranial EEG data“. Epilepsia Open 2, Nr. 2 (18.01.2017): 156–61. http://dx.doi.org/10.1002/epi4.12038.
Der volle Inhalt der QuelleIvanov, А. А. „Overview of mathematical EEG analysis. Quantitative EEG“. Epilepsy and paroxysmal conditions 15, Nr. 2 (09.07.2023): 171–92. http://dx.doi.org/10.17749/2077-8333/epi.par.con.2023.154.
Der volle Inhalt der QuelleSalam, Abdus, Selina Husna Banu, Abu Nayeem und Zobaida Sultana Susan. „Clinical Finding of Electroencephalographic (EEG) Data in Adults: A Retrospective study“. Journal of Shaheed Suhrawardy Medical College 6, Nr. 1 (07.03.2017): 14–17. http://dx.doi.org/10.3329/jssmc.v6i1.31486.
Der volle Inhalt der QuelleNoachtar, Soheyl, Jan Remi und Elisabeth Kaufmann. „EEG-Update“. Klinische Neurophysiologie 53, Nr. 04 (29.11.2022): 243–52. http://dx.doi.org/10.1055/a-1949-1691.
Der volle Inhalt der QuelleCincotti, F., C. Babiloni, C. Miniussi, F. Carducci, D. Moretti, S. Salinari, R. Pascual-Marqui, P. M. Rossini und F. Babiloni. „EEG Deblurring Techniques in a Clinical Context“. Methods of Information in Medicine 43, Nr. 01 (2004): 114–17. http://dx.doi.org/10.1055/s-0038-1633846.
Der volle Inhalt der QuelleKutafina, Ekaterina, Alexander Brenner, Yannic Titgemeyer, Rainer Surges und Stephan Jonas. „Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection“. PeerJ 8 (01.05.2020): e8969. http://dx.doi.org/10.7717/peerj.8969.
Der volle Inhalt der QuelleDissertationen zum Thema "Clinical EEG data"
Abazid, Majd. „Topological study of the brain functional organization at the early stages of Alzheimer's disease using electroencephalography“. Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS026.
Der volle Inhalt der QuelleElectroencephalography (EEG) is still considered nowadays as a convenient neuroimaging technique in clinical applications, suitable for cognitively and physically disabled patients, as well as for serial tests. In fact, EEG is a non-invasive, cost-effective, and mobile technology. It is characterized by a high temporal resolution, which is crucial for the analysis of fast brain functional dynamics.There is a rich literature addressing the use of EEG to investigate brain activity alterations due to neurodegenerative diseases, especially Alzheimer's disease (AD). AD is a chronic neurodegenerative disease that leads to progressive decline of cognitive functions along with behavioral disorders and insidious loss of autonomy in daily living activities. We observe a growing interest in the earlier stages of the disease since curative treatments are still lacking. The preclinical stage of AD is asymptomatic, but the brain lesions due to AD are present. At this phase, the term of subjective cognitive impairment (SCI) has been recently defined. In the prodromal stage, mild cognitive impairment (MCI) patients show measurable memory impairments but their functional capacity is maintained. SCI and MCI patients are at high risk of developing AD.This thesis investigates the early diagnosis of AD at preclinical and prodromal stages using resting-state EEG, and addresses brain network analysis by studying the functional connectivity over several clinical stages of cognitive decline (SCI, MCI and Mild AD). To this end, we conduct a retrospective study using a clinical database that contains EEG signals recorded in real-life conditions.We first propose to exploit an entropy measure, termed “epoch-based entropy” (EpEn), as a measure of functional connectivity, that relies on a refined statistical modeling of EEG signals based on Hidden Markov Models. This measure characterizes the spatiotemporal changes in EEG signals by quantifying the information content of EEG signals, both at the time and spatial levels.Furthermore, we conduct a topological brain network analysis over the three stages of cognitive decline by employing the Graph Theory. The novelty of our work is twofold. Actually, this is the first work that: (i) addresses EEG brain network analysis over SCI, MCI and Mild AD stages simultaneously, and (ii) combines EpEn to Graph Theory since we have shown its effectiveness in quantifying the complete spatiotemporal alteration due to AD.In this thesis, we decided to invest the largest amount of EEG information for brain network analysis, by exploiting several frequency ranges (delta, theta, alpha, beta), several electrodes locations (instead of regions), and several network density scales (multiple graph thresholding). Therefore, another issue tackled in this thesis concerns the identification of relevant EEG markers to discriminate automatically between SCI, MCI and AD patients in the context of graph analysis framework. To this end, we propose an automatic hierarchical method for EEG analysis, which allows the extraction of relevant markers from large amount of information based on a single EEG connectivity measure.Finally, we also assess the correlation between the relevant EEG markers and the clinical markers at our disposal (MMSE, RL/RI-16, BREF)
Matlis, Sean Eben Hill. „Functional network and spectral analysis of clinical EEG data to identify quantitative biomarkers and classify brain disorders“. Thesis, 2016. https://hdl.handle.net/2144/19059.
Der volle Inhalt der QuelleZeman, Philip Michael. „Feasibility of Multi-Component Spatio-Temporal Modeling of Cognitively Generated EEG Data and its Potential Application to Research in Functional Anatomy and Clinical Neuropathology“. Thesis, 2009. http://hdl.handle.net/1828/5010.
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Hiah, Pier Juhng, und 連培中. „Data Stream Mining Technology for ECG Signals of Chronic Pain: Real-Time Tracking and Clinical Correlation“. Thesis, 2017. http://ndltd.ncl.edu.tw/handle/67yzx2.
Der volle Inhalt der Quelle國立交通大學
電機資訊國際學程
105
Evaluating and tracking the progress of treatment for chronic pain is challenging because pain is a subjective experience and can be measured only by self-report. Electrocardiography (ECG) has been proven to be a promising source of physiological biomarkers for chronic pain. Previous studies had demonstrated that heart rate variability (HRV) could be associated with different types of pain and also pain perception. This study aims to identify the relationship between HRV indices and chronic pain through collecting resting ECG data and subjective pain severity from patients with chronic migraine and fibromyalgia before and after treatments. In addition, resting ECG data from healthy controls were also collected for comparison. The results derived from time, frequency, and non-linear analyses showed that the HRV of chronic patients were generally lower than that of healthy control subjects. Besides, the HRV of the chronic pain patients in the responder group significantly increased after the medical treatment, indicating that a useful biomarker of the treatment efficacy. Among 10 HRV indices, the non-linear Poincaré plot analysis is a promising HRV indices in monitoring pain severity as well as determining treatment efficacy. Finally, a data stream mining platform was developed for real-time streaming and analyzing of multimodal data. This platform is presented such that they can be used as an aid for biofeedback treatment of chronic pain in the future.
Bücher zum Thema "Clinical EEG data"
Lopes da Silva, F. H., 1935-, Storm van Leeuwen W und Rémond Antoine, Hrsg. Clinical applications of computer analysis of EEG and other neurophysiological signals. Amsterdam: Elsevier, 1986.
Den vollen Inhalt der Quelle findenVanhatalo, Sampsa, und J. Matias Palva. Infraslow EEG Activity. Herausgegeben von Donald L. Schomer und Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0032.
Der volle Inhalt der QuelleSutter, Raoul, Peter W. Kaplan und Donald L. Schomer. Historical Aspects of Electroencephalography. Herausgegeben von Donald L. Schomer und Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0001.
Der volle Inhalt der QuelleHerring, Christina. Neuromodulation in Psychiatric Disorders. Herausgegeben von Anthony J. Bazzan und Daniel A. Monti. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190690557.003.0013.
Der volle Inhalt der QuelleThomas, James, und Tanya Monaghan. Clinical data interpretation. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199593972.003.0019.
Der volle Inhalt der QuelleKatirji, Bashar. Electromyography in Clinical Practice. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190603434.001.0001.
Der volle Inhalt der QuelleStanley, Barbara, und Antonia New, Hrsg. Borderline Personality Disorder. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199997510.001.0001.
Der volle Inhalt der QuelleStaedtke, Verena, und Eric H. Kossoff. Epilepsy Syndromes in Childhood. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0074.
Der volle Inhalt der QuellePoddubnyy, Denis, und Hildrun Haibel. Treatment: DMARDs. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0021.
Der volle Inhalt der QuelleKirollos, Ramez, Adel Helmy, Simon Thomson und Peter Hutchinson, Hrsg. Oxford Textbook of Neurological Surgery. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198746706.001.0001.
Der volle Inhalt der QuelleBuchteile zum Thema "Clinical EEG data"
Gerlá, Vaclav, Lenka Lhotska, Matej Murgas, Vladana Djordjevic Radisavljevic, Vladimir Krajca und Vaclav Kremen. „An Incremental Approach to Clinical EEG Data Classification“. In IFMBE Proceedings, 489–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_122.
Der volle Inhalt der QuelleHammond, E. J., C. P. Barber und B. J. Wilder. „Flash Visual Evoked Potential Topographic Mapping: Normative and Clinical Data“. In Topographic Brain Mapping of EEG and Evoked Potentials, 265–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3_27.
Der volle Inhalt der QuelleHammond, E. J., C. P. Barber und B. J. Wilder. „Scalp Topography of Red LED Flash-Evoked Potentials: Normal and Clinical Data“. In Topographic Brain Mapping of EEG and Evoked Potentials, 373–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3_42.
Der volle Inhalt der QuelleChowdhury, Linkon, Bristy Roy Chowdhury, V. Rajinikanth und Nilanjan Dey. „A Framework to Evaluate and Classify the Clinical-Level EEG Signals with Epilepsy“. In Proceedings of International Conference on Data Science and Applications, 111–21. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7561-7_8.
Der volle Inhalt der QuelleDasgupta, Abhijit, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra und Rajat K. De. „Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data“. In Lecture Notes in Computer Science, 87–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69900-4_11.
Der volle Inhalt der QuelleMolina, Edward, Ricardo Salazar-Cabrera und Diego M. López. „NeuroEHR: Open Source Telehealth System for the Management of Clinical Data, EEG and Remote Diagnosis of Epilepsy“. In Communications in Computer and Information Science, 418–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00350-0_35.
Der volle Inhalt der QuelleHerff, Christian, und Dean J. Krusienski. „Extracting Features from Time Series“. In Fundamentals of Clinical Data Science, 85–100. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_7.
Der volle Inhalt der QuelleSilva, Hugo, André Lourenço, Ana Fred und Joaquim Filipe. „Clinical Data Privacy and Customization via Biometrics Based on ECG Signals“. In Lecture Notes in Computer Science, 121–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25364-5_12.
Der volle Inhalt der QuelleStorås, Andrea M., Michael A. Riegler, Trine B. Haugen, Vajira Thambawita, Steven A. Hicks, Hugo L. Hammer, Radhika Kakulavarapu, Pål Halvorsen und Mette H. Stensen. „Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure“. In Communications in Computer and Information Science, 111–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17030-0_9.
Der volle Inhalt der QuelleChukwu, Emmanuel C., und Pedro A. Moreno-Sánchez. „Enhancing Arrhythmia Diagnosis with Data-Driven Methods: A 12-Lead ECG-Based Explainable AI Model“. In Communications in Computer and Information Science, 242–59. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_16.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Clinical EEG data"
Dasgupta, Abhijit, Ritankar Das, Losiana Nayak und Rajat K. De. „Analyzing epileptogenic brain connectivity networks using clinical EEG data“. In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2015. http://dx.doi.org/10.1109/bibm.2015.7359791.
Der volle Inhalt der QuelleHuang, Zexin, Liyong Han, Zhihua Huang, Zhixiong Lin und Chenghua Wang. „Automated data set construction system for clinical EEG research“. In 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2023. http://dx.doi.org/10.1109/cisp-bmei60920.2023.10373261.
Der volle Inhalt der QuelleBinnie, C. D. „Long term EEG recording and its role in clinical practice“. In IEE Colloquium on Data Logging of Physiological Signals. IEE, 1995. http://dx.doi.org/10.1049/ic:19951385.
Der volle Inhalt der QuelleYang, S., S. Lopez, M. Golmohammadi, I. Obeid und J. Picone. „Semi-automated annotation of signal events in clinical EEG data“. In 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). IEEE, 2016. http://dx.doi.org/10.1109/spmb.2016.7846855.
Der volle Inhalt der QuelleAghaeeaval, Mahsa, Nathaniel Bendahan, Zaitoon Shivji, Carter McInnis, Amoon Jamzad, Lysa Boisse Lomax, Garima Shukla, Parvin Mousavi und Gavin P. Winston. „Prediction of patient survival following postanoxic coma using EEG data and clinical features“. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2021. http://dx.doi.org/10.1109/embc46164.2021.9629946.
Der volle Inhalt der QuelleDoborjeh, Maryam Gholami, und Nikola Kasabov. „Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system“. In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727358.
Der volle Inhalt der QuelleSmid, Jerusa, Ricardo Nitrini, Vilma Martins, Michele Landemberger, Helio Gomes, Nathalie Canedo Canedo und Leila Chimelli. „THE BRAZILIAN SURVEILLANCE FOR PRION DISEASE: CURRENT DATA“. In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda014.
Der volle Inhalt der QuelleM. Alves, Lorraine, Klaus F. Côco, Mariane L. de Souza und Patrick M. Ciarelli. „Graph Theory Analysis of Microstates in Attention-Deficit Hyperactivity Disorder“. In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1481.
Der volle Inhalt der QuelleSazonova, O. B., und E. M. Troshina. „REFLECTION IN THE EEG OF DISORDERS OF CEREBRAL HEMODYNAMICS IN CHRONIC CEREBRAL ISCHEMIA IN CHILDREN“. In NOVEL TECHNOLOGIES IN MEDICINE, BIOLOGY, PHARMACOLOGY AND ECOLOGY. Institute of information technology, 2022. http://dx.doi.org/10.47501/978-5-6044060-2-1.368-375.
Der volle Inhalt der QuelleZhavoronkova, Ludmila Alexeevna, Olga Arsen’evna Maksakova, Elena Mikhailovna Кushnir und Irina Gennadievna Skorjatina. „DIAGNOSTIC AND REHABILITATION OPPORTUNITIES OF DUAL-TASKS FOR BRAIN TRAUMA“. In International conference New technologies in medicine, biology, pharmacology and ecology (NT +M&Ec ' 2020). Institute of information technology, 2020. http://dx.doi.org/10.47501/978-5-6044060-0-7.06.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Clinical EEG data"
Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor und Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), Dezember 2021. http://dx.doi.org/10.21079/11681/42562.
Der volle Inhalt der Quellede Carvalho, Clístenes Crístian, Ioannis Kapsokalyvas und Kariem El-Boghdadly. Second-generation supraglottic airways vs endotracheal tubes in adults undergoing abdominopelvic surgeries: a protocol for a systematic review with pairwise meta-analyses of randomised clinical trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0041.
Der volle Inhalt der QuelleMeng, kairui, yulin You, lijuan Chen und yicheng Liu. A meta analysis on the efficacy of Chengqi Decoction in the treatment of ARDS/ALI. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0040.
Der volle Inhalt der QuelleLeavy, Michelle B., Danielle Cooke, Sarah Hajjar, Erik Bikelman, Bailey Egan, Diana Clarke, Debbie Gibson, Barbara Casanova und Richard Gliklich. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), November 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.
Der volle Inhalt der QuelleTotten, Annette, Dana M. Womack, Marian S. McDonagh, Cynthia Davis-O’Reilly, Jessica C. Griffin, Ian Blazina, Sara Grusing und Nancy Elder. Improving Rural Health Through Telehealth-Guided Provider-to-Provider Communication. Agency for Healthcare Research and Quality, Dezember 2022. http://dx.doi.org/10.23970/ahrqepccer254.
Der volle Inhalt der QuelleMcCausland, Rachel, Joann Fontanarosa und Ravi Patel. Nonemergent Percutaneous Coronary Intervention Versus Optimal Medical Treatment for Stable Ischemic Heart Disease: A Rapid Response Literature Review. Agency for Healthcare Research and Quality (AHRQ), August 2023. http://dx.doi.org/10.23970/ahrqepcrapidcoronary.
Der volle Inhalt der QuelleNewman-Toker, David E., Susan M. Peterson, Shervin Badihian, Ahmed Hassoon, Najlla Nassery, Donna Parizadeh, Lisa M. Wilson et al. Diagnostic Errors in the Emergency Department: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), Dezember 2022. http://dx.doi.org/10.23970/ahrqepccer258.
Der volle Inhalt der QuelleRankin, Nicole, Deborah McGregor, Candice Donnelly, Bethany Van Dort, Richard De Abreu Lourenco, Anne Cust und Emily Stone. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, Oktober 2019. http://dx.doi.org/10.57022/clzt5093.
Der volle Inhalt der QuellePeterson, Bradley S., Joey Trampush, Margaret Maglione, Maria Bolshakova, Morah Brown, Mary Rozelle, Aneesa Motala et al. ADHD Diagnosis and Treatment in Children and Adolescents. Agency for Healthcare Research and Quality (AHRQ), März 2024. http://dx.doi.org/10.23970/ahrqepccer267.
Der volle Inhalt der QuelleGong, Xuan, Zhou Chen, Kui Yang, Chuntao Li, Songshan Feng, Mingyu Zhang, Zhixiong Liu, Hongshu Zhou und Zhenyan Li. Endoscopic Transsphenoidal Surgery for Infra-Diaphragmatic Craniopharyngiomas: Impact of Diaphragm Sellae Competence on Hypothalamic Injury. International Journal of Surgery, Mai 2024. http://dx.doi.org/10.60122/j.ijs.2024.20.03.
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