Статті в журналах з теми "Steady-State Visually Evoked Potential (SSVEP)"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Steady-State Visually Evoked Potential (SSVEP)".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Salazar, Sophia, Femi Oyewole, Ted Obi, Rebecca Baron, Dylan Mahony, Anna Kropelnicki, Adrian Cohen, David Putrino, and Adam Fry. "Steady-state visual evoked potentials are unchanged following physical and cognitive exertion paradigms." Journal of Concussion 5 (January 2021): 205970022110553. http://dx.doi.org/10.1177/20597002211055346.
Повний текст джерелаIkeda, Akira, and Yoshikazu Washizawa. "Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks." Sensors 21, no. 16 (August 6, 2021): 5309. http://dx.doi.org/10.3390/s21165309.
Повний текст джерелаChen, Jing, Matteo Valsecchi, and Karl R. Gegenfurtner. "Saccadic suppression measured by steady-state visual evoked potentials." Journal of Neurophysiology 122, no. 1 (July 1, 2019): 251–58. http://dx.doi.org/10.1152/jn.00712.2018.
Повний текст джерелаOlze, Katharina, Christof Jan Wehrmann, Luyang Mu, and Meinhard Schilling. "Obstacles in using a computer screen for steady-state visually evoked potential stimulation." Biomedical Engineering / Biomedizinische Technik 63, no. 4 (July 26, 2018): 377–82. http://dx.doi.org/10.1515/bmt-2016-0243.
Повний текст джерелаZhang, Shangen, and Xiaogang Chen. "Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials." Brain Science Advances 8, no. 1 (March 2022): 50–56. http://dx.doi.org/10.26599/bsa.2022.9050006.
Повний текст джерелаKrishnappa, Manjula, and 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, no. 2 (July 1, 2023): 215. http://dx.doi.org/10.11591/ijres.v12.i2.pp215-221.
Повний текст джерелаGao, Shouwei, Kang Zhou, Jun Zhang, Yi Cheng, and Shujun Mao. "Effects of Background Music on Mental Fatigue in Steady-State Visually Evoked Potential-Based BCIs." Healthcare 11, no. 7 (April 2, 2023): 1014. http://dx.doi.org/10.3390/healthcare11071014.
Повний текст джерелаAdam, Kirsten C. S., Lillian Chang, Nicole Rangan, and 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, no. 4 (April 2021): 695–724. http://dx.doi.org/10.1162/jocn_a_01665.
Повний текст джерелаLiu, Siyu, Deyu Zhang, Ziyu Liu, Mengzhen Liu, Zhiyuan Ming, Tiantian Liu, Dingjie Suo, Shintaro Funahashi, and Tianyi Yan. "Review of brain–computer interface based on steady‐state visual evoked potential." Brain Science Advances 8, no. 4 (November 30, 2022): 258–75. http://dx.doi.org/10.26599/bsa.2022.9050022.
Повний текст джерелаLin, Bor-Shyh, Bor-Shing Lin, Tzu-Hsiang Yen, Chien-Chin Hsu, and Yao-Chin Wang. "Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface." Micromachines 10, no. 10 (October 10, 2019): 681. http://dx.doi.org/10.3390/mi10100681.
Повний текст джерелаOwen, Caroline M., John Patterson, and Richard B. Silberstein. "Olfactory Modulation of Steady- State Visual Evoked Potential Topography in Comparison with Differences in Odor Sensitivity." Journal of Psychophysiology 16, no. 2 (January 2002): 71–81. http://dx.doi.org/10.1027//0269-8803.16.2.71.
Повний текст джерелаCohen, Adrian, Daryl Fong, David Putrino, Philip Boughton, Joseph Herrera, Neil G. Simon, Paul Raftos, and Dylan Mahony. "Steady-State Visual-Evoked Potentials as a Biomarker for Concussion: A Pilot Study." Neurology 95, no. 20 Supplement 1 (November 16, 2020): S6.2—S7. http://dx.doi.org/10.1212/01.wnl.0000719920.91849.25.
Повний текст джерелаSiribunyaphat, Nannaphat, and Yunyong Punsawad. "Brain–Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control." Sensors 23, no. 4 (February 12, 2023): 2069. http://dx.doi.org/10.3390/s23042069.
Повний текст джерелаNAKANISHI, MASAKI, YIJUN WANG, YU-TE WANG, YASUE MITSUKURA, and TZYY-PING JUNG. "A HIGH-SPEED BRAIN SPELLER USING STEADY-STATE VISUAL EVOKED POTENTIALS." International Journal of Neural Systems 24, no. 06 (July 31, 2014): 1450019. http://dx.doi.org/10.1142/s0129065714500191.
Повний текст джерелаSilberstein, Richard B., Paul L. Nunez, Andrew Pipingas, Philip Harris, and Frank Danieli. "Steady state visually evoked potential (SSVEP) topography in a graded working memory task." International Journal of Psychophysiology 42, no. 2 (October 2001): 219–32. http://dx.doi.org/10.1016/s0167-8760(01)00167-2.
Повний текст джерелаCamfield, D. A., A. Scholey, A. Pipingas, R. Silberstein, M. Kras, K. Nolidin, K. Wesnes, M. Pase, and C. Stough. "Steady state visually evoked potential (SSVEP) topography changes associated with cocoa flavanol consumption." Physiology & Behavior 105, no. 4 (February 2012): 948–57. http://dx.doi.org/10.1016/j.physbeh.2011.11.013.
Повний текст джерелаLiu, Bingchuan, Xinyi Yan, Xiaogang Chen, Yijun Wang, and Xiaorong Gao. "tACS facilitates flickering driving by boosting steady-state visual evoked potentials." Journal of Neural Engineering 18, no. 6 (December 1, 2021): 066042. http://dx.doi.org/10.1088/1741-2552/ac3ef3.
Повний текст джерелаKim, Y. J., R. Shapley, and N. Rubin. "Coherent global percepts increase steady-state visual evoked potential (SSVEP)." Journal of Vision 10, no. 7 (August 3, 2010): 334. http://dx.doi.org/10.1167/10.7.334.
Повний текст джерелаWang, Lu, Dan Han, Binbin Qian, Zhenhao Zhang, Zhijun Zhang, and 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, no. 9 (September 7, 2020): 616. http://dx.doi.org/10.3390/brainsci10090616.
Повний текст джерелаZhang, Sitao, Kainan Ma, Yibo Yin, Binbin Ren, and Ming Liu. "A Personalized Compression Method for Steady-State Visual Evoked Potential EEG Signals." Information 13, no. 4 (April 6, 2022): 186. http://dx.doi.org/10.3390/info13040186.
Повний текст джерелаTouyama, Hideaki, and Mitsuru Sakuda. "Online Control of a Virtual Object with Collaborative SSVEP." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 7 (November 20, 2017): 1291–97. http://dx.doi.org/10.20965/jaciii.2017.p1291.
Повний текст джерелаSutjiadi, Raymond, Timothy John Pattiasina, and Resmana Lim. "SSVEP-based brain-computer interface for computer control application using SVM classifier." International Journal of Engineering & Technology 7, no. 4 (September 26, 2018): 2722. http://dx.doi.org/10.14419/ijet.v7i4.16139.
Повний текст джерелаNam, Chang S., Matthew Moore, Inchul Choi, and Yueqing Li. "Designing Better, Cost-Effective Brain–Computer Interfaces." Ergonomics in Design: The Quarterly of Human Factors Applications 23, no. 4 (October 2015): 13–19. http://dx.doi.org/10.1177/1064804615572625.
Повний текст джерелаR., Ashwini S., and H. C. Nagaraj. "Classification of EEG signal using EACA based approach at SSVEP-BCI." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (September 1, 2021): 717. http://dx.doi.org/10.11591/ijai.v10.i3.pp717-726.
Повний текст джерелаSiribunyaphat, Nannaphat, and Yunyong Punsawad. "Steady-State Visual Evoked Potential-Based Brain–Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern." Sensors 22, no. 4 (February 13, 2022): 1439. http://dx.doi.org/10.3390/s22041439.
Повний текст джерелаZhang, Feng, Chengcheng Han, Lili Li, Xin Zhang, Jun Xie, and 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.
Повний текст джерелаLi, Minglun, Dianning He, Chen Li, and 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, no. 4 (April 1, 2021): 450. http://dx.doi.org/10.3390/brainsci11040450.
Повний текст джерелаFarrow, Maree, Richard B. Silberstein, Florence Levy, Andrew Pipingas, Katie Wood, David A. Hay, and 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, no. 1 (May 1996): 59–68. http://dx.doi.org/10.1017/s0816512200027413.
Повний текст джерелаChuang, Chia-Chun, Chien-Ching Lee, Edmund-Cheung So, Chia-Hong Yeng, and Yeou-Jiunn Chen. "Multi-Task Learning-Based Deep Neural Network for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces." Sensors 22, no. 21 (October 29, 2022): 8303. http://dx.doi.org/10.3390/s22218303.
Повний текст джерелаPATTERSON, JOHN, CAROLINE M. OWEN, RICHARD B. SILBERSTEIN, DAVID G. SIMPSON, ANDREW PIPINGAS, and GEOFFREY NIELD. "Steady State Visual Evoked Potential (SSVEP) Changes in Response to Olfactory Stimulation." Annals of the New York Academy of Sciences 855, no. 1 OLFACTION AND (November 1998): 625–27. http://dx.doi.org/10.1111/j.1749-6632.1998.tb10633.x.
Повний текст джерелаZhu, Shixuan, Jingcheng Yang, Peng Ding, Fan Wang, Anmin Gong, and Yunfa Fu. "Optimization of SSVEP-BCI Virtual Reality Stereo Stimulation Parameters Based on Knowledge Graph." Brain Sciences 13, no. 5 (April 24, 2023): 710. http://dx.doi.org/10.3390/brainsci13050710.
Повний текст джерелаKubacki, Arkadiusz, and 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.
Повний текст джерелаSridhar, Saraswati, and Vidya Manian. "Assessment of Cognitive Aging Using an SSVEP-Based Brain–Computer Interface System." Big Data and Cognitive Computing 3, no. 2 (May 24, 2019): 29. http://dx.doi.org/10.3390/bdcc3020029.
Повний текст джерелаYu, Je-Hun, and 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, no. 3 (June 25, 2015): 254–59. http://dx.doi.org/10.5391/jkiis.2015.25.3.254.
Повний текст джерелаAlbahri, A. S., Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, and 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 (April 30, 2023): 1–24. http://dx.doi.org/10.1155/2023/7741735.
Повний текст джерелаMüller, Matthias M., and Ronald Hübner. "Can the Spotlight of Attention Be Shaped Like a Doughnut? Evidence From Steady-State Visual Evoked Potentials." Psychological Science 13, no. 2 (March 2002): 119–24. http://dx.doi.org/10.1111/1467-9280.00422.
Повний текст джерелаSilberstein, R. B., A. Pipingas, J. Song, D. A. Camfield, P. J. Nathan, and 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.
Повний текст джерелаChen, Yeou-Jiunn, Pei-Chung Chen, Shih-Chung Chen, and Chung-Min Wu. "Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs." Sensors 21, no. 15 (July 23, 2021): 5019. http://dx.doi.org/10.3390/s21155019.
Повний текст джерелаDeepak D. Kapgate and 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, no. 1 (February 28, 2023): 330–39. http://dx.doi.org/10.30574/wjaets.2023.8.1.0046.
Повний текст джерелаTeng, Fei, Yixin Chen, Aik Min Choong, Scott Gustafson, Christopher Reichley, Pamela Lawhead, and 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.
Повний текст джерелаYang, Dalin, Trung-Hau Nguyen, and 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, no. 19 (September 24, 2020): 5474. http://dx.doi.org/10.3390/s20195474.
Повний текст джерелаLee, Hyeon Kyu, and Young-Seok Choi. "Enhancing SSVEP-Based Brain-Computer Interface with Two-Step Task-Related Component Analysis." Sensors 21, no. 4 (February 12, 2021): 1315. http://dx.doi.org/10.3390/s21041315.
Повний текст джерелаMüller-Putz, Gernot R., Reinhold Scherer, Christian Brauneis, and Gert Pfurtscheller. "Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components." Journal of Neural Engineering 2, no. 4 (October 25, 2005): 123–30. http://dx.doi.org/10.1088/1741-2560/2/4/008.
Повний текст джерелаOikonomou, Vangelis P. "Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP Signals." Sensors 23, no. 5 (February 22, 2023): 2425. http://dx.doi.org/10.3390/s23052425.
Повний текст джерелаLeite, Harlei Miguel de Arruda, Sarah Negreiros de Carvalho, Thiago Bulhões da Silva Costa, Romis Attux, Heiko Horst Hornung, and 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.
Повний текст джерелаShi, 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, no. 01 (2020): 40–52. http://dx.doi.org/10.26599/jnr.2020.9040003.
Повний текст джерелаMouli, Surej, Ramaswamy Palaniappan, Emmanuel Molefi, and Ian McLoughlin. "In-Ear Electrode EEG for Practical SSVEP BCI." Technologies 8, no. 4 (November 5, 2020): 63. http://dx.doi.org/10.3390/technologies8040063.
Повний текст джерелаKo, Li-Wei, S. S. K. Ranga, Oleksii Komarov, and 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.
Повний текст джерелаSingla, Rajesh. "HYBRID BRAIN–COMPUTER INTERFACE PARADIGM — A STUDY." Biomedical Engineering: Applications, Basis and Communications 30, no. 03 (May 30, 2018): 1850022. http://dx.doi.org/10.4015/s1016237218500229.
Повний текст джерелаChen, Kun, Quan Liu, and Qing Song Ai. "Multi-Channel SSVEP Pattern Recognition Based on MUSIC." Applied Mechanics and Materials 539 (July 2014): 84–88. http://dx.doi.org/10.4028/www.scientific.net/amm.539.84.
Повний текст джерела