Artículos de revistas sobre el tema "ELECTROENCEPHALOGRAPHY SIGNAL"
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Lee, Woonghee, Jaewoo Yang, Doyeong Park y Younghoon Kim. "Automated Clinical Impression Generation for Medical Signal Data Searches". Applied Sciences 13, n.º 15 (3 de agosto de 2023): 8931. http://dx.doi.org/10.3390/app13158931.
Texto completoHe, Bryan D., Mosalam Ebrahimi, Leon Palafox y Lakshminarayan Srinivasan. "Signal quality of endovascular electroencephalography". Journal of Neural Engineering 13, n.º 1 (6 de enero de 2016): 016016. http://dx.doi.org/10.1088/1741-2560/13/1/016016.
Texto completoPawar, Sanjay S. y Sangeeta R. Chougule. "Predication and Analysis of Epileptic Seizure Neurological Disorder using Intracranial Electroencephalography (iEEG)". WSEAS TRANSACTIONS ON SIGNAL PROCESSING 16 (25 de febrero de 2021): 197–205. http://dx.doi.org/10.37394/232014.2020.16.22.
Texto completoYuan, Lixue, Yinyan Fan, Quanxi Gan y Huibin Feng. "Clinical Diagnosis of Psychiatry Based on Electroencephalography". Journal of Medical Imaging and Health Informatics 11, n.º 3 (1 de marzo de 2021): 955–63. http://dx.doi.org/10.1166/jmihi.2021.3338.
Texto completoYong, Goh Chien, Tahir Ahmad y Normah Maan. "Spatial Interaction Image of Electroencephalography Signal during Epileptic Seizure on Flat Electroencephalography". Journal of Mathematics and Statistics 13, n.º 1 (1 de enero de 2017): 46–56. http://dx.doi.org/10.3844/jmssp.2017.46.56.
Texto completoTran, Yvonne. "EEG Signal Processing for Biomedical Applications". Sensors 22, n.º 24 (13 de diciembre de 2022): 9754. http://dx.doi.org/10.3390/s22249754.
Texto completoWu, J., E. C. Ifeachor, N. R. Hudson, S. K. Wimalaratna y E. M. Allen. "Intelligent artefact identification in electroencephalography signal processing". IEE Proceedings - Science, Measurement and Technology 144, n.º 5 (1 de septiembre de 1997): 193–201. http://dx.doi.org/10.1049/ip-smt:19971318.
Texto completoSanei, Saeid, Saideh Ferdowsi, Kianoush Nazarpour y Andrzej Cichocki. "Advances in Electroencephalography Signal Processing [Life Sciences]". IEEE Signal Processing Magazine 30, n.º 1 (enero de 2013): 170–76. http://dx.doi.org/10.1109/msp.2012.2219675.
Texto completoYan, Zhaokun, Xiangquan Yang y Yu Jin. "Considerate motion imagination classification method using deep learning". PLOS ONE 17, n.º 10 (20 de octubre de 2022): e0276526. http://dx.doi.org/10.1371/journal.pone.0276526.
Texto completoRedkar, Sangram. "Using Deep Learning for Human Computer Interface via Electroencephalography". IAES International Journal of Robotics and Automation (IJRA) 4, n.º 4 (1 de diciembre de 2015): 292. http://dx.doi.org/10.11591/ijra.v4i4.pp292-310.
Texto completoChaddad, Ahmad, Yihang Wu, Reem Kateb y Ahmed Bouridane. "Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques". Sensors 23, n.º 14 (16 de julio de 2023): 6434. http://dx.doi.org/10.3390/s23146434.
Texto completoRamele, Rodrigo, Ana Villar y Juan Santos. "EEG Waveform Analysis of P300 ERP with Applications to Brain Computer Interfaces". Brain Sciences 8, n.º 11 (16 de noviembre de 2018): 199. http://dx.doi.org/10.3390/brainsci8110199.
Texto completoMcMillan, Rebecca, Anna Forsyth, Doug Campbell, Gemma Malpas, Elizabeth Maxwell, Juergen Dukart, Joerg F. Hipp y Suresh Muthukumaraswamy. "Temporal dynamics of the pharmacological MRI response to subanaesthetic ketamine in healthy volunteers: A simultaneous EEG/fMRI study". Journal of Psychopharmacology 33, n.º 2 (21 de enero de 2019): 219–29. http://dx.doi.org/10.1177/0269881118822263.
Texto completoSuma, K. V., D. Venkatesh, Arun Kumar, Manjula Suryabhatla, Tejaswini M. Gowda y M. Thejashwini. "Stress Level Detection Using Electroencephalography Signals". Journal of Computational and Theoretical Nanoscience 17, n.º 9 (1 de julio de 2020): 4223–28. http://dx.doi.org/10.1166/jctn.2020.9050.
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 completoShin, Sung-Wook, Jung-Hyun Park, Woo-Jin Lee, Sung-Ho Kang, Hyunggun Kim y Sung-Taek Chung. "Analysis of Electroencephalography Signals on the Contents of Cognitive Function Game: Attention and Memory". Journal of Medical Imaging and Health Informatics 10, n.º 6 (1 de junio de 2020): 1452–58. http://dx.doi.org/10.1166/jmihi.2020.3069.
Texto completoZhu, Hangyu, Cong Fu, Feng Shu, Huan Yu, Chen Chen y Wei Chen. "The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods". Bioengineering 10, n.º 5 (10 de mayo de 2023): 573. http://dx.doi.org/10.3390/bioengineering10050573.
Texto completoShelishiyah, R., M. Bharani Dharan, T. Kishore Kumar, R. Musaraf y Thiyam Deepa Beeta. "Signal Processing for Hybrid BCI Signals". Journal of Physics: Conference Series 2318, n.º 1 (1 de agosto de 2022): 012007. http://dx.doi.org/10.1088/1742-6596/2318/1/012007.
Texto completoGupta, Nidhi y Gyaninder Singh. "Electroencephalography-based monitors". Journal of Neuroanaesthesiology and Critical Care 02, n.º 03 (diciembre de 2015): 168–78. http://dx.doi.org/10.4103/2348-0548.165030.
Texto completoFerdous, Jannatul, Sujan Ali, Ekramul Hamid y Khademul Islam Molla. "Sub-band selection approach to artifact suppression from electroencephalography signal using hybrid wavelet transform". International Journal of Advanced Robotic Systems 18, n.º 1 (1 de enero de 2021): 172988142199226. http://dx.doi.org/10.1177/1729881421992269.
Texto completoAlkhorshid, Daniel Rostami, Seyyedeh Fatemeh Molaeezadeh y Mikaeil Rostami Alkhorshid. "Analysis: Electroencephalography Acquisition System: Analog Design". Biomedical Instrumentation & Technology 54, n.º 5 (1 de septiembre de 2020): 346–51. http://dx.doi.org/10.2345/0899-8205-54.5.346.
Texto completoZhang, Qing, Pingping Wang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng y Yakang Dai. "A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring". International Journal of Distributed Sensor Networks 14, n.º 5 (mayo de 2018): 155014771877956. http://dx.doi.org/10.1177/1550147718779562.
Texto completoKaraduman, Mucahit y Ali Karci. "Deep and Statistical Features Classification Model for Electroencephalography Signals". Traitement du Signal 39, n.º 5 (30 de noviembre de 2022): 1517–25. http://dx.doi.org/10.18280/ts.390508.
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 completoNamazi, Hamidreza. "Investigating the Brain Development in Newborns by Information-Based Analysis of Electroencephalography (EEG) Signal". Fluctuation and Noise Letters 19, n.º 04 (4 de julio de 2020): 2050043. http://dx.doi.org/10.1142/s0219477520500431.
Texto completoKim, Seonho, Jungjoon Kim y Hong-Woo Chun. "Wave2Vec: Vectorizing Electroencephalography Bio-Signal for Prediction of Brain Disease". International Journal of Environmental Research and Public Health 15, n.º 8 (15 de agosto de 2018): 1750. http://dx.doi.org/10.3390/ijerph15081750.
Texto completoLee, Tae-Ju, Seung-Min Park y Kwee-Bo Sim. "Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI". Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/754539.
Texto completoMelinda, Melinda, I. Ketut Agung Enriko, Muhammad Furqan, Muhammad Irhamsyah, Yunidar Yunidar y Nurlida Basir. "The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method". JURNAL INFOTEL 15, n.º 1 (2 de febrero de 2023): 111–20. http://dx.doi.org/10.20895/infotel.v15i1.874.
Texto completoPawar, Sanjay Shamrao y Sangeeta Rajendra Chougule. "Classification and Severity Measurement of Epileptic Seizure using Intracranial Electroencephalogram (iEEG)". International Journal of Innovative Technology and Exploring Engineering 10, n.º 2 (10 de diciembre de 2020): 36–41. http://dx.doi.org/10.35940/ijitee.b8249.1210220.
Texto completoShankar, A., S. Muttan y D. Vaithiyanathan. "Signal Processing and Classification for Electroencephalography Based Motor Imagery Brain Computer Interface". Journal of Medical Imaging and Health Informatics 11, n.º 12 (1 de diciembre de 2021): 2918–27. http://dx.doi.org/10.1166/jmihi.2021.3904.
Texto completoLv, Chao y Bo Song. "Classification of epileptic EEG based on improved empirical wavelet transform". Journal of Physics: Conference Series 2400, n.º 1 (1 de diciembre de 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2400/1/012010.
Texto completoLuján, Miguel, María Jimeno, Jorge Mateo Sotos, Jorge Ricarte y Alejandro Borja. "A Survey on EEG Signal Processing Techniques and Machine Learning: Applications to the Neurofeedback of Autobiographical Memory Deficits in Schizophrenia". Electronics 10, n.º 23 (5 de diciembre de 2021): 3037. http://dx.doi.org/10.3390/electronics10233037.
Texto completoSuwandi, G. R. F., S. N. Khotimah y Suprijadi. "Electroencephalography Signal Power Spectral Density from Measurements in Room with and Without Faraday Cage: A Comparative Study". Journal of Physics: Conference Series 2243, n.º 1 (1 de junio de 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2243/1/012002.
Texto completoLivint Popa, Livia, Hanna Dragos, Cristina Pantelemon, Olivia Verisezan Rosu y Stefan Strilciuc. "The Role of Quantitative EEG in the Diagnosis of Neuropsychiatric Disorders". Journal of Medicine and Life 13, n.º 1 (enero de 2020): 8–15. http://dx.doi.org/10.25122/jml-2019-0085.
Texto completoViswanadham, Talabattula y Rajesh Kumar P. "Artefacts Removal from ECG Signal: Dragonfly Optimization-based Learning Algorithm for Neural Network-enhanced Adaptive Filtering". Scalable Computing: Practice and Experience 21, n.º 2 (27 de junio de 2020): 247–63. http://dx.doi.org/10.12694/scpe.v21i2.1657.
Texto completoNdaro, Nyakuru Z. y Shu-Yi Wang. "Effects of Fatigue Based on Electroencephalography Signal during Laparoscopic Surgical Simulation". Minimally Invasive Surgery 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/2389158.
Texto completoBruhn, Jörgen, Thomas W. Bouillon, Andreas Hoeft y Steven L. Shafer. "Artifact Robustness, Inter- and Intraindividual Baseline Stability, and Rational EEG Parameter Selection". Anesthesiology 96, n.º 1 (1 de enero de 2002): 54–59. http://dx.doi.org/10.1097/00000542-200201000-00015.
Texto completoDarmakusuma, Reza, Ary Setijadi Prihatmanto, Adi Indrayanto, Tati Latifah Mengko, Lidwina Ayu Andarini y Achmad Furqon Idrus. "Analysis of Arm Movement Prediction by Using the Electroencephalography Signal". Makara Journal of Technology 20, n.º 1 (26 de abril de 2016): 38. http://dx.doi.org/10.7454/mst.v20i1.3054.
Texto completoDarmakusuma, Reza, Ary Setijadi Prihatmanto, Adi Indrayanto, Tati Latifah Mengko, Lidwina Ayu Andarini y Achmad Furqon Idrus. "Analysis of Arm Movement Prediction by Using the Electroencephalography Signal". Makara Journal of Technology 20, n.º 1 (26 de abril de 2016): 38. http://dx.doi.org/10.7454/mst.v20i1.3282.
Texto completoDehuri, Satchidanada, Alok Kumar Jagadev y Sung-Bae Cho. "Epileptic Seizure Identification from Electroencephalography Signal Using DE-RBFNs Ensemble". Procedia Computer Science 23 (2013): 84–95. http://dx.doi.org/10.1016/j.procs.2013.10.012.
Texto completoHindarto, Hindarto y Sumarno Sumarno. "Feature Extraction of Electroencephalography Signals Using Fast Fourier Transform". CommIT (Communication and Information Technology) Journal 10, n.º 2 (31 de octubre de 2016): 49. http://dx.doi.org/10.21512/commit.v10i2.1548.
Texto completoNAMAZI, HAMIDREZA y SAJAD JAFARI. "DECODING OF WRIST MOVEMENTS’ DIRECTION BY FRACTAL ANALYSIS OF MAGNETOENCEPHALOGRAPHY (MEG) SIGNAL". Fractals 27, n.º 02 (marzo de 2019): 1950001. http://dx.doi.org/10.1142/s0218348x19500014.
Texto completoSalehzadeh, Amirsaleh, Andre P. Calitz y Jean Greyling. "Human activity recognition using deep electroencephalography learning". Biomedical Signal Processing and Control 62 (septiembre de 2020): 102094. http://dx.doi.org/10.1016/j.bspc.2020.102094.
Texto completoBlanco, Justin, Ann Vanleer, Taylor Calibo y Samara Firebaugh. "Single-Trial Cognitive Stress Classification Using Portable Wireless Electroencephalography". Sensors 19, n.º 3 (25 de enero de 2019): 499. http://dx.doi.org/10.3390/s19030499.
Texto completoKumar, R. Suresh y P. Manimegalai. "Detection and Separation of Eeg Artifacts Using Wavelet Transform". International Journal of Informatics and Communication Technology (IJ-ICT) 7, n.º 3 (1 de diciembre de 2018): 149. http://dx.doi.org/10.11591/ijict.v7i3.pp149-156.
Texto completoKsibi, Amel, Mohammed Zakariah, Leila Jamel Menzli, Oumaima Saidani, Latifah Almuqren y Rosy Awny Mohamed Hanafieh. "Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques". Diagnostics 13, n.º 10 (17 de mayo de 2023): 1779. http://dx.doi.org/10.3390/diagnostics13101779.
Texto completoWardoyo, Retantyo, I. Made Agus Wirawan y I. Gede Angga Pradipta. "Oversampling Approach Using Radius-SMOTE for Imbalance Electroencephalography Datasets". Emerging Science Journal 6, n.º 2 (9 de marzo de 2022): 382–98. http://dx.doi.org/10.28991/esj-2022-06-02-013.
Texto completoZhou, Yukai, Qingshan She, Yuliang Ma, Wanzeng Kong y Yingchun Zhang. "Transfer of semi-supervised broad learning system in electroencephalography signal classification". Neural Computing and Applications 33, n.º 16 (17 de marzo de 2021): 10597–613. http://dx.doi.org/10.1007/s00521-021-05793-2.
Texto completoWijayanto, Inung, Rudy Hartanto y HanungAdi Nugroho. "Quantitative analysis of inter- and intrahemispheric coherence on epileptic electroencephalography signal". Journal of Medical Signals & Sensors 12, n.º 2 (2022): 145. http://dx.doi.org/10.4103/jmss.jmss_63_20.
Texto completoNajeeb, Shaima Miqdad Mohamed, Haider Th Salim Al Rikabi y Shaima Mohammed Ali. "Finding the discriminative frequencies of motor electroencephalography signal using genetic algorithm". TELKOMNIKA (Telecommunication Computing Electronics and Control) 19, n.º 1 (1 de febrero de 2021): 285. http://dx.doi.org/10.12928/telkomnika.v19i1.17884.
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