Artículos de revistas sobre el tema "Brain electrical signals"
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Zhuang, Qiu Hui, Guo Jun Liu, Xiu Hua Fu y San Qiang Wang. "Brain Electrical Signal Digital Processing System Design". Applied Mechanics and Materials 278-280 (enero de 2013): 958–61. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.958.
Texto completoThiagarajan, T. "Interpreting Electrical Signals from the Brain". Acta Physica Polonica B 49, n.º 12 (2018): 2095. http://dx.doi.org/10.5506/aphyspolb.49.2095.
Texto completoDurka, P. J., J. Z. ygierewicz y K. J. Blinowska. "Time-Frequency Analysis of Brain Electrical Activity – Adaptive Approximations". Methods of Information in Medicine 43, n.º 01 (2004): 70–73. http://dx.doi.org/10.1055/s-0038-1633838.
Texto completoCharchekhandra, Barbara. "The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm". Pure Mathematics for Theoretical Computer Science 1, n.º 1 (2023): 08–16. http://dx.doi.org/10.54216/pmtcs.010101.
Texto completoGarg, Malika. "Methods for the Analysis of EEG signals: A Review". International Journal for Research in Applied Science and Engineering Technology 9, n.º 9 (30 de septiembre de 2021): 873–76. http://dx.doi.org/10.22214/ijraset.2021.38072.
Texto completoBashashati, Ali, Mehrdad Fatourechi, Rabab K. Ward y Gary E. Birch. "A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals". Journal of Neural Engineering 4, n.º 2 (27 de marzo de 2007): R32—R57. http://dx.doi.org/10.1088/1741-2560/4/2/r03.
Texto completoNaresh, B., S. Rambabu y D. Khalandar Basha. "ARM Controller and EEG based Drowsiness Tracking and Controlling during Driving". International Journal of Reconfigurable and Embedded Systems (IJRES) 6, n.º 3 (28 de mayo de 2018): 127. http://dx.doi.org/10.11591/ijres.v6.i3.pp127-132.
Texto completoMarkovinović, Ivan, Miroslav Vrankić y Saša Vlahinić. "Removal of eye-blink artifacts from EEG signal". Engineering review 40, n.º 2 (1 de abril de 2020): 101–11. http://dx.doi.org/10.30765/er.40.2.11.
Texto completoChandran, Kalyana Sundaram y T. Kiruba Angeline. "Identification of Disease Symptoms Using Taste Disorders in Electroencephalogram Signal". Journal of Computational and Theoretical Nanoscience 17, n.º 5 (1 de mayo de 2020): 2051–56. http://dx.doi.org/10.1166/jctn.2020.8848.
Texto completoHirai, Yasuharu, Eri Nishino y Harunori Ohmori. "Simultaneous recording of fluorescence and electrical signals by photometric patch electrode in deep brain regions in vivo". Journal of Neurophysiology 113, n.º 10 (junio de 2015): 3930–42. http://dx.doi.org/10.1152/jn.00005.2015.
Texto completoRekling, Jens C. y Jack L. Feldman. "Bidirectional Electrical Coupling Between Inspiratory Motoneurons in the Newborn Mouse Nucleus Ambiguus". Journal of Neurophysiology 78, n.º 6 (1 de diciembre de 1997): 3508–10. http://dx.doi.org/10.1152/jn.1997.78.6.3508.
Texto completoAzhari, Ahmad, Adhi Susanto, Andri Pranolo y Yingchi Mao. "Neural Network Classification of Brainwave Alpha Signals in Cognitive Activities". Knowledge Engineering and Data Science 2, n.º 2 (23 de diciembre de 2019): 47. http://dx.doi.org/10.17977/um018v2i22019p47-57.
Texto completoHuang, Zhongwei, Lifen Cheng y Yang Liu. "Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training". Computational Intelligence and Neuroscience 2022 (15 de abril de 2022): 1–9. http://dx.doi.org/10.1155/2022/6752067.
Texto completoBaykara, Muhammet y Awf Abdulrahman. "Seizure Detection Based on Adaptive Feature Extraction by Applying Extreme Learning Machines". Traitement du Signal 38, n.º 2 (30 de abril de 2021): 331–40. http://dx.doi.org/10.18280/ts.380210.
Texto completoV, Chandana. "Controlling Wheelchair Using Brain as Biosensor". International Journal for Research in Applied Science and Engineering Technology 9, n.º VIII (15 de agosto de 2021): 471–79. http://dx.doi.org/10.22214/ijraset.2021.37401.
Texto completoSiddiqui, Mohd Maroof y Ruchin Jain. "Prediction of REM (Rapid Eye Movement) Sleep Behaviour Disorder using EEG Signal applied EMG1 and EMG2 Channel". Biomedical and Pharmacology Journal 14, n.º 1 (30 de marzo de 2021): 519–24. http://dx.doi.org/10.13005/bpj/2153.
Texto completoSiddiqui, Mohd Maroof, Ruchin Jain, Mohd Suhaib Kidwai y Mohammad Zunnun Khan. "Recording of eeg Signals and Role in Diagnosis of Sleep Disorder". Biomedical and Pharmacology Journal 15, n.º 3 (29 de septiembre de 2022): 1421–26. http://dx.doi.org/10.13005/bpj/2479.
Texto completoZhao, Zhi-Ping, Chuang Nie, Cheng-Teng Jiang, Sheng-Hao Cao, Kai-Xi Tian, Shan Yu y Jian-Wen Gu. "Modulating Brain Activity with Invasive Brain–Computer Interface: A Narrative Review". Brain Sciences 13, n.º 1 (12 de enero de 2023): 134. http://dx.doi.org/10.3390/brainsci13010134.
Texto completoMu, Zhen Dong, Jian Feng Hu y Jing Hai Yin. "Information Granule Reduction and Cluster Based Partial Least Squares Applied in EEG Signals". Applied Mechanics and Materials 496-500 (enero de 2014): 2256–59. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2256.
Texto completoXu, Meng, Yuewu Zhao, Guanghui Xu, Yuehu Zhang, Shengkai Sun, Yan Sun, Jine Wang y Renjun Pei. "Recent Development of Neural Microelectrodes with Dual-Mode Detection". Biosensors 13, n.º 1 (30 de diciembre de 2022): 59. http://dx.doi.org/10.3390/bios13010059.
Texto completoWang, Jiu Hui y Qiang Ji. "Research on Signal Acquisition Based on Wireless Sensor for Foot Compressive Characteristics on Basketball Movement". Applied Mechanics and Materials 483 (diciembre de 2013): 401–4. http://dx.doi.org/10.4028/www.scientific.net/amm.483.401.
Texto completoZero, Enrico, Chiara Bersani y Roberto Sacile. "Identification of Brain Electrical Activity Related to Head Yaw Rotations". Sensors 21, n.º 10 (11 de mayo de 2021): 3345. http://dx.doi.org/10.3390/s21103345.
Texto completoAnas Fouad Ahmed. "A quick survey of EEG signal noise removal methods". Global Journal of Engineering and Technology Advances 11, n.º 3 (30 de junio de 2022): 098–104. http://dx.doi.org/10.30574/gjeta.2022.11.3.0100.
Texto completoYuryev, G. A., L. S. Kuravsky y N. E. Yuryeva. "On the Experience of Developing a Mobile Complex for Recording the Brain Electrical Activity on the Meringue of Dry Electrode Technology". Моделирование и анализ данных 12, n.º 3 (2022): 40–48. http://dx.doi.org/10.17759/mda.2022120303.
Texto completoFerrari, Rosana, Aldo Ivan Cespedes Arce, Mariza Pires de Melo y Ernane Jose Xavier Costa. "Noninvasive method to assess the electrical brain activity from rats". Ciência Rural 43, n.º 10 (20 de agosto de 2013): 1838–42. http://dx.doi.org/10.1590/s0103-84782013005000117.
Texto completoKüçükakarsu, Mustafa, Ahmet Reşit Kavsaoğlu, Fayadh Alenezi, Adi Alhudhaif, Raghad Alwadie y Kemal Polat. "A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain’s Electrical Activity Signals". Diagnostics 13, n.º 3 (3 de febrero de 2023): 575. http://dx.doi.org/10.3390/diagnostics13030575.
Texto completoEnglert, Robert, Fabienne Rupp, Frank Kirchhoff, Klaus Peter Koch y Michael Schweigmann. "Technical characterization of an 8 or 16 channel recording system to acquire electrocorticograms of mice". Current Directions in Biomedical Engineering 3, n.º 2 (7 de septiembre de 2017): 595–98. http://dx.doi.org/10.1515/cdbme-2017-0124.
Texto completoHansen, Sofie Therese, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic y Lars Kai Hansen. "Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition". Computational Intelligence and Neuroscience 2019 (14 de marzo de 2019): 1–15. http://dx.doi.org/10.1155/2019/5618303.
Texto completoGani S. F., Abd, Miskon M. F., Hamzah R. A., A. Aziz K. A., Kadmin A. F, Jidin A. Z., Md Basar M. F, Kamalrudin M., A. Razak E. N. S y Md Ali Shah M. A. S. "Electrical Appliance Switching Controller by Brain Wave Spectrum Evaluation Using a Wireless EEG Headset". International Journal of Emerging Technology and Advanced Engineering 11, n.º 10 (15 de octubre de 2021): 109–19. http://dx.doi.org/10.46338/ijetae1021_14.
Texto completoFernandez-Chiappe, Florencia y Nara I. Muraro. "Patch-Clamping Fly Brain Neurons". Cold Spring Harbor Protocols 2022, n.º 8 (7 de julio de 2022): pdb.top107796. http://dx.doi.org/10.1101/pdb.top107796.
Texto completoHu, Jian Feng, Zhen Dong Mu y Jing Hai Yin. "Features Extraction Method of Motor Imagery EEG Based on Information Granules". Applied Mechanics and Materials 496-500 (enero de 2014): 1982–85. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1982.
Texto completoCaesarendra, Wahyu. "A Method to Extract P300 EEG Signal Feature Using Independent Component Analysis (ICA) for Lie Detection". Journal of Energy, Mechanical, Material and Manufacturing Engineering 2, n.º 1 (9 de noviembre de 2017): 9. http://dx.doi.org/10.22219/jemmme.v2i1.4796.
Texto completoDjamal, Esmeralda Contessa y Dimas Andhika Sury. "Multi-channel of electroencephalogram signal in multivariable brain-computer interface". IAES International Journal of Artificial Intelligence (IJ-AI) 12, n.º 2 (1 de junio de 2023): 618. http://dx.doi.org/10.11591/ijai.v12.i2.pp618-626.
Texto completoRanjandish, Reza y Alexandre Schmid. "A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control". Sensors 20, n.º 19 (8 de octubre de 2020): 5716. http://dx.doi.org/10.3390/s20195716.
Texto completoDimitrov, Georgi P., Galina Panayotova, Boyan Jekov, Pavel Petrov, Iva Kostadinova, Snejana Petrova, Olexiy S. Bychkov, Vasyl Martsenyuk y Aleksandar Parvanov. "Algorithms for Classification of Signals Derived From Human Brain". International Journal of Circuits, Systems and Signal Processing 15 (20 de septiembre de 2021): 1521–26. http://dx.doi.org/10.46300/9106.2021.15.164.
Texto completoTorres-Valencia, Cristian, Álvaro Orozco, David Cárdenas-Peña, Andrés Álvarez-Meza y Mauricio Álvarez. "A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis". Applied Sciences 10, n.º 19 (27 de septiembre de 2020): 6765. http://dx.doi.org/10.3390/app10196765.
Texto completoLiu, Tianyi, Mingshen Shen y Xiaohan Wang. "Difference of Brain Electrical Activity Mappings in Sleep Stages". Highlights in Science, Engineering and Technology 39 (1 de abril de 2023): 568–74. http://dx.doi.org/10.54097/hset.v39i.6590.
Texto completoLashkari, Saleh, Ali Moghimi, Hamid Reza Kobravi y Mohamad Amin Younessi Heravi. "A Novel Spike-Wave Discharge Detection Framework Based on the Morphological Characteristics of Brain Electrical Activity Phase Space in an Animal Model". International Clinical Neuroscience Journal 8, n.º 4 (30 de octubre de 2021): 180–87. http://dx.doi.org/10.34172/icnj.2021.36.
Texto completoMartinez-Corral, Rosa, Jintao Liu, Arthur Prindle, Gürol M. Süel y Jordi Garcia-Ojalvo. "Metabolic basis of brain-like electrical signalling in bacterial communities". Philosophical Transactions of the Royal Society B: Biological Sciences 374, n.º 1774 (22 de abril de 2019): 20180382. http://dx.doi.org/10.1098/rstb.2018.0382.
Texto completoMansoor, Asif, Muhammad Waleed Usman, Noreen Jamil y M. Asif Naeem. "Deep Learning Algorithm for Brain-Computer Interface". Scientific Programming 2020 (25 de agosto de 2020): 1–12. http://dx.doi.org/10.1155/2020/5762149.
Texto completoRadhakrishnan, Menaka, Karthik Ramamurthy, Avantika Kothandaraman, Gauri Madaan y Harini Machavaram. "Investigating EEG Signals of Autistic Individuals Using Detrended Fluctuation Analysis". Traitement du Signal 38, n.º 5 (31 de octubre de 2021): 1515–20. http://dx.doi.org/10.18280/ts.380528.
Texto completoSheela sobana Rani, K., S. Pravinth Raja, M. Sinthuja, B. Vidhya Banu, R. Sapna y Kenenisa Dekeba. "Classification of EEG Signals Using Neural Network for Predicting Consumer Choices". Computational Intelligence and Neuroscience 2022 (20 de julio de 2022): 1–7. http://dx.doi.org/10.1155/2022/5872401.
Texto completoMammone, Nadia, Simona De Salvo, Cosimo Ieracitano, Silvia Marino, Emanuele Cartella, Alessia Bramanti, Roberto Giorgianni y Francesco Morabito. "Compressibility of High-Density EEG Signals in Stroke Patients". Sensors 18, n.º 12 (23 de noviembre de 2018): 4107. http://dx.doi.org/10.3390/s18124107.
Texto completode Brito Guerra, Tarciana C., Taline Nóbrega, Edgard Morya, Allan de M. Martins y Vicente A. de Sousa. "Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery". Sensors 23, n.º 9 (26 de abril de 2023): 4277. http://dx.doi.org/10.3390/s23094277.
Texto completoIslam, Sheikh Md Rabiul y Md Shakibul Islam. "Neural Mass Model-Based Different EEG Signal Generation and Analysis in Simulink". Indian Journal of Signal Processing 1, n.º 3 (10 de agosto de 2021): 1–7. http://dx.doi.org/10.35940/ijsp.c1008.081321.
Texto completoIslam, Sheikh Md Rabiul y Md Shakibul Islam. "Neural Mass Model-Based Different EEG Signal Generation and Analysis in Simulink". Indian Journal of Signal Processing 1, n.º 3 (10 de agosto de 2021): 1–7. http://dx.doi.org/10.54105/ijsp.c1008.081321.
Texto completoAkgun, Omer. "Determination of the Appropriate Kernel Structure in Electroencephalography Analysis of Alcoholic Subjects". Traitement du Signal 37, n.º 4 (10 de octubre de 2020): 571–77. http://dx.doi.org/10.18280/ts.370404.
Texto completoParvez, Mohammad Zavid y Manoranjan Paul. "NOVEL APPROACHES OF EEG SIGNAL CLASSIFICATION USING IMF BANDWIDTH AND DCT FREQUENCY". Biomedical Engineering: Applications, Basis and Communications 27, n.º 03 (28 de mayo de 2015): 1550027. http://dx.doi.org/10.4015/s1016237215500271.
Texto completoKoudelková, Zuzana y Martin Strmiska. "Introduction to the identification of brain waves based on their frequency". MATEC Web of Conferences 210 (2018): 05012. http://dx.doi.org/10.1051/matecconf/201821005012.
Texto completoJurgielewicz, Paweł, Tomasz Fiutowski, Ewa Kublik, Andrzej Skoczeń, Małgorzata Szypulska, Piotr Wiącek, Paweł Hottowy y Bartosz Mindur. "Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics". Sensors 21, n.º 13 (28 de junio de 2021): 4423. http://dx.doi.org/10.3390/s21134423.
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