Artículos de revistas sobre el tema "Steady-State Visually Evoked Potential (SSVEP)"
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Salazar, Sophia, Femi Oyewole, Ted Obi, Rebecca Baron, Dylan Mahony, Anna Kropelnicki, Adrian Cohen, David Putrino y Adam Fry. "Steady-state visual evoked potentials are unchanged following physical and cognitive exertion paradigms". Journal of Concussion 5 (enero de 2021): 205970022110553. http://dx.doi.org/10.1177/20597002211055346.
Texto completoIkeda, Akira y Yoshikazu Washizawa. "Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks". Sensors 21, n.º 16 (6 de agosto de 2021): 5309. http://dx.doi.org/10.3390/s21165309.
Texto completoChen, Jing, Matteo Valsecchi y Karl R. Gegenfurtner. "Saccadic suppression measured by steady-state visual evoked potentials". Journal of Neurophysiology 122, n.º 1 (1 de julio de 2019): 251–58. http://dx.doi.org/10.1152/jn.00712.2018.
Texto completoOlze, Katharina, Christof Jan Wehrmann, Luyang Mu y Meinhard Schilling. "Obstacles in using a computer screen for steady-state visually evoked potential stimulation". Biomedical Engineering / Biomedizinische Technik 63, n.º 4 (26 de julio de 2018): 377–82. http://dx.doi.org/10.1515/bmt-2016-0243.
Texto completoZhang, Shangen y Xiaogang Chen. "Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials". Brain Science Advances 8, n.º 1 (marzo de 2022): 50–56. http://dx.doi.org/10.26599/bsa.2022.9050006.
Texto completoKrishnappa, Manjula y Madaveeranahally Boregowda Anandaraju. "Adaptive filters based efficient EEG classification for steady state visually evoked potential based BCI system". International Journal of Reconfigurable and Embedded Systems (IJRES) 12, n.º 2 (1 de julio de 2023): 215. http://dx.doi.org/10.11591/ijres.v12.i2.pp215-221.
Texto completoGao, Shouwei, Kang Zhou, Jun Zhang, Yi Cheng y Shujun Mao. "Effects of Background Music on Mental Fatigue in Steady-State Visually Evoked Potential-Based BCIs". Healthcare 11, n.º 7 (2 de abril de 2023): 1014. http://dx.doi.org/10.3390/healthcare11071014.
Texto completoAdam, Kirsten C. S., Lillian Chang, Nicole Rangan y John T. Serences. "Steady-State Visually Evoked Potentials and Feature-based Attention: Preregistered Null Results and a Focused Review of Methodological Considerations". Journal of Cognitive Neuroscience 33, n.º 4 (abril de 2021): 695–724. http://dx.doi.org/10.1162/jocn_a_01665.
Texto completoLiu, Siyu, Deyu Zhang, Ziyu Liu, Mengzhen Liu, Zhiyuan Ming, Tiantian Liu, Dingjie Suo, Shintaro Funahashi y Tianyi Yan. "Review of brain–computer interface based on steady‐state visual evoked potential". Brain Science Advances 8, n.º 4 (30 de noviembre de 2022): 258–75. http://dx.doi.org/10.26599/bsa.2022.9050022.
Texto completoLin, Bor-Shyh, Bor-Shing Lin, Tzu-Hsiang Yen, Chien-Chin Hsu y Yao-Chin Wang. "Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface". Micromachines 10, n.º 10 (10 de octubre de 2019): 681. http://dx.doi.org/10.3390/mi10100681.
Texto completoOwen, Caroline M., John Patterson y Richard B. Silberstein. "Olfactory Modulation of Steady- State Visual Evoked Potential Topography in Comparison with Differences in Odor Sensitivity". Journal of Psychophysiology 16, n.º 2 (enero de 2002): 71–81. http://dx.doi.org/10.1027//0269-8803.16.2.71.
Texto completoCohen, Adrian, Daryl Fong, David Putrino, Philip Boughton, Joseph Herrera, Neil G. Simon, Paul Raftos y Dylan Mahony. "Steady-State Visual-Evoked Potentials as a Biomarker for Concussion: A Pilot Study". Neurology 95, n.º 20 Supplement 1 (16 de noviembre de 2020): S6.2—S7. http://dx.doi.org/10.1212/01.wnl.0000719920.91849.25.
Texto completoSiribunyaphat, Nannaphat y Yunyong Punsawad. "Brain–Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control". Sensors 23, n.º 4 (12 de febrero de 2023): 2069. http://dx.doi.org/10.3390/s23042069.
Texto completoNAKANISHI, MASAKI, YIJUN WANG, YU-TE WANG, YASUE MITSUKURA y TZYY-PING JUNG. "A HIGH-SPEED BRAIN SPELLER USING STEADY-STATE VISUAL EVOKED POTENTIALS". International Journal of Neural Systems 24, n.º 06 (31 de julio de 2014): 1450019. http://dx.doi.org/10.1142/s0129065714500191.
Texto completoSilberstein, Richard B., Paul L. Nunez, Andrew Pipingas, Philip Harris y Frank Danieli. "Steady state visually evoked potential (SSVEP) topography in a graded working memory task". International Journal of Psychophysiology 42, n.º 2 (octubre de 2001): 219–32. http://dx.doi.org/10.1016/s0167-8760(01)00167-2.
Texto completoCamfield, D. A., A. Scholey, A. Pipingas, R. Silberstein, M. Kras, K. Nolidin, K. Wesnes, M. Pase y C. Stough. "Steady state visually evoked potential (SSVEP) topography changes associated with cocoa flavanol consumption". Physiology & Behavior 105, n.º 4 (febrero de 2012): 948–57. http://dx.doi.org/10.1016/j.physbeh.2011.11.013.
Texto completoLiu, Bingchuan, Xinyi Yan, Xiaogang Chen, Yijun Wang y Xiaorong Gao. "tACS facilitates flickering driving by boosting steady-state visual evoked potentials". Journal of Neural Engineering 18, n.º 6 (1 de diciembre de 2021): 066042. http://dx.doi.org/10.1088/1741-2552/ac3ef3.
Texto completoKim, Y. J., R. Shapley y N. Rubin. "Coherent global percepts increase steady-state visual evoked potential (SSVEP)". Journal of Vision 10, n.º 7 (3 de agosto de 2010): 334. http://dx.doi.org/10.1167/10.7.334.
Texto completoWang, Lu, Dan Han, Binbin Qian, Zhenhao Zhang, Zhijun Zhang y Zhifang Liu. "The Validity of Steady-State Visual Evoked Potentials as Attention Tags and Input Signals: A Critical Perspective of Frequency Allocation and Number of Stimuli". Brain Sciences 10, n.º 9 (7 de septiembre de 2020): 616. http://dx.doi.org/10.3390/brainsci10090616.
Texto completoZhang, Sitao, Kainan Ma, Yibo Yin, Binbin Ren y Ming Liu. "A Personalized Compression Method for Steady-State Visual Evoked Potential EEG Signals". Information 13, n.º 4 (6 de abril de 2022): 186. http://dx.doi.org/10.3390/info13040186.
Texto completoTouyama, Hideaki y Mitsuru Sakuda. "Online Control of a Virtual Object with Collaborative SSVEP". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, n.º 7 (20 de noviembre de 2017): 1291–97. http://dx.doi.org/10.20965/jaciii.2017.p1291.
Texto completoSutjiadi, Raymond, Timothy John Pattiasina y Resmana Lim. "SSVEP-based brain-computer interface for computer control application using SVM classifier". International Journal of Engineering & Technology 7, n.º 4 (26 de septiembre de 2018): 2722. http://dx.doi.org/10.14419/ijet.v7i4.16139.
Texto completoNam, Chang S., Matthew Moore, Inchul Choi y Yueqing Li. "Designing Better, Cost-Effective Brain–Computer Interfaces". Ergonomics in Design: The Quarterly of Human Factors Applications 23, n.º 4 (octubre de 2015): 13–19. http://dx.doi.org/10.1177/1064804615572625.
Texto completoR., Ashwini S. y H. C. Nagaraj. "Classification of EEG signal using EACA based approach at SSVEP-BCI". IAES International Journal of Artificial Intelligence (IJ-AI) 10, n.º 3 (1 de septiembre de 2021): 717. http://dx.doi.org/10.11591/ijai.v10.i3.pp717-726.
Texto completoSiribunyaphat, Nannaphat y Yunyong Punsawad. "Steady-State Visual Evoked Potential-Based Brain–Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern". Sensors 22, n.º 4 (13 de febrero de 2022): 1439. http://dx.doi.org/10.3390/s22041439.
Texto completoZhang, Feng, Chengcheng Han, Lili Li, Xin Zhang, Jun Xie y Yeping Li. "Research on High-Frequency Combination Coding-Based SSVEP-BCIs and Its Signal Processing Algorithms". Shock and Vibration 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/194230.
Texto completoLi, Minglun, Dianning He, Chen Li y Shouliang Qi. "Brain–Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance". Brain Sciences 11, n.º 4 (1 de abril de 2021): 450. http://dx.doi.org/10.3390/brainsci11040450.
Texto completoFarrow, Maree, Richard B. Silberstein, Florence Levy, Andrew Pipingas, Katie Wood, David A. Hay y Frederick C. Jarman. "Prefrontal and Parietal Deficits in ADHD Suggested by Brain Electrical Activity Mapping During Children's Performance of the AX CPT". Australian Educational and Developmental Psychologist 13, n.º 1 (mayo de 1996): 59–68. http://dx.doi.org/10.1017/s0816512200027413.
Texto completoChuang, Chia-Chun, Chien-Ching Lee, Edmund-Cheung So, Chia-Hong Yeng y Yeou-Jiunn Chen. "Multi-Task Learning-Based Deep Neural Network for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces". Sensors 22, n.º 21 (29 de octubre de 2022): 8303. http://dx.doi.org/10.3390/s22218303.
Texto completoPATTERSON, JOHN, CAROLINE M. OWEN, RICHARD B. SILBERSTEIN, DAVID G. SIMPSON, ANDREW PIPINGAS y GEOFFREY NIELD. "Steady State Visual Evoked Potential (SSVEP) Changes in Response to Olfactory Stimulation". Annals of the New York Academy of Sciences 855, n.º 1 OLFACTION AND (noviembre de 1998): 625–27. http://dx.doi.org/10.1111/j.1749-6632.1998.tb10633.x.
Texto completoZhu, Shixuan, Jingcheng Yang, Peng Ding, Fan Wang, Anmin Gong y Yunfa Fu. "Optimization of SSVEP-BCI Virtual Reality Stereo Stimulation Parameters Based on Knowledge Graph". Brain Sciences 13, n.º 5 (24 de abril de 2023): 710. http://dx.doi.org/10.3390/brainsci13050710.
Texto completoKubacki, Arkadiusz y Arkadiusz Jakubowski. "Classifier testing for the brain-machine interface (BCI) based on Steady State Visually Evoked Potential (SSVEP)". ITM Web of Conferences 15 (2017): 02003. http://dx.doi.org/10.1051/itmconf/20171502003.
Texto completoSridhar, Saraswati y Vidya Manian. "Assessment of Cognitive Aging Using an SSVEP-Based Brain–Computer Interface System". Big Data and Cognitive Computing 3, n.º 2 (24 de mayo de 2019): 29. http://dx.doi.org/10.3390/bdcc3020029.
Texto completoYu, Je-Hun y Kwee-Bo Sim. "Robot Control based on Steady-State Visual Evoked Potential using Arduino and Emotiv Epoc". Journal of Korean Institute of Intelligent Systems 25, n.º 3 (25 de junio de 2015): 254–59. http://dx.doi.org/10.5391/jkiis.2015.25.3.254.
Texto completoAlbahri, A. S., Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi y Anizah Abu Bakar. "A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology". International Journal of Telemedicine and Applications 2023 (30 de abril de 2023): 1–24. http://dx.doi.org/10.1155/2023/7741735.
Texto completoMüller, Matthias M. y Ronald Hübner. "Can the Spotlight of Attention Be Shaped Like a Doughnut? Evidence From Steady-State Visual Evoked Potentials". Psychological Science 13, n.º 2 (marzo de 2002): 119–24. http://dx.doi.org/10.1111/1467-9280.00422.
Texto completoSilberstein, R. B., A. Pipingas, J. Song, D. A. Camfield, P. J. Nathan y C. Stough. "Examining Brain-Cognition Effects of Ginkgo Biloba Extract: Brain Activation in the Left Temporal and Left Prefrontal Cortex in an Object Working Memory Task". Evidence-Based Complementary and Alternative Medicine 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/164139.
Texto completoChen, Yeou-Jiunn, Pei-Chung Chen, Shih-Chung Chen y Chung-Min Wu. "Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs". Sensors 21, n.º 15 (23 de julio de 2021): 5019. http://dx.doi.org/10.3390/s21155019.
Texto completoDeepak D. Kapgate y Krishna Prasad K. "An improved model for the use of facial stimulation in hybrid SSVEP+P300 brain-computer interfaces". World Journal of Advanced Engineering Technology and Sciences 8, n.º 1 (28 de febrero de 2023): 330–39. http://dx.doi.org/10.30574/wjaets.2023.8.1.0046.
Texto completoTeng, Fei, Yixin Chen, Aik Min Choong, Scott Gustafson, Christopher Reichley, Pamela Lawhead y Dwight Waddell. "Square or Sine: Finding a Waveform with High Success Rate of Eliciting SSVEP". Computational Intelligence and Neuroscience 2011 (2011): 1–5. http://dx.doi.org/10.1155/2011/364385.
Texto completoYang, Dalin, Trung-Hau Nguyen y Wan-Young Chung. "A Bipolar-Channel Hybrid Brain-Computer Interface System for Home Automation Control Utilizing Steady-State Visually Evoked Potential and Eye-Blink Signals". Sensors 20, n.º 19 (24 de septiembre de 2020): 5474. http://dx.doi.org/10.3390/s20195474.
Texto completoLee, Hyeon Kyu y Young-Seok Choi. "Enhancing SSVEP-Based Brain-Computer Interface with Two-Step Task-Related Component Analysis". Sensors 21, n.º 4 (12 de febrero de 2021): 1315. http://dx.doi.org/10.3390/s21041315.
Texto completoMüller-Putz, Gernot R., Reinhold Scherer, Christian Brauneis y Gert Pfurtscheller. "Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components". Journal of Neural Engineering 2, n.º 4 (25 de octubre de 2005): 123–30. http://dx.doi.org/10.1088/1741-2560/2/4/008.
Texto completoOikonomou, Vangelis P. "Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals". Sensors 23, n.º 5 (22 de febrero de 2023): 2425. http://dx.doi.org/10.3390/s23052425.
Texto completoLeite, Harlei Miguel de Arruda, Sarah Negreiros de Carvalho, Thiago Bulhões da Silva Costa, Romis Attux, Heiko Horst Hornung y Dalton Soares Arantes. "Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game". Computational Intelligence and Neuroscience 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/4920132.
Texto completoShi, Nanlin. "Steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) of Chinese speller for a patient with amyotrophic lateral sclerosis: A case report". Journal of Neurorestoratology 08, n.º 01 (2020): 40–52. http://dx.doi.org/10.26599/jnr.2020.9040003.
Texto completoMouli, Surej, Ramaswamy Palaniappan, Emmanuel Molefi y Ian McLoughlin. "In-Ear Electrode EEG for Practical SSVEP BCI". Technologies 8, n.º 4 (5 de noviembre de 2020): 63. http://dx.doi.org/10.3390/technologies8040063.
Texto completoKo, Li-Wei, S. S. K. Ranga, Oleksii Komarov y Chung-Chiang Chen. "Development of Single-Channel Hybrid BCI System Using Motor Imagery and SSVEP". Journal of Healthcare Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/3789386.
Texto completoSingla, Rajesh. "HYBRID BRAIN–COMPUTER INTERFACE PARADIGM — A STUDY". Biomedical Engineering: Applications, Basis and Communications 30, n.º 03 (30 de mayo de 2018): 1850022. http://dx.doi.org/10.4015/s1016237218500229.
Texto completoChen, Kun, Quan Liu y Qing Song Ai. "Multi-Channel SSVEP Pattern Recognition Based on MUSIC". Applied Mechanics and Materials 539 (julio de 2014): 84–88. http://dx.doi.org/10.4028/www.scientific.net/amm.539.84.
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