{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T13:32:01Z","timestamp":1794058321109,"version":"4.8.0"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-07205-0","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T15:25:19Z","timestamp":1751383519000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["EEG based real time classification of consecutive two eye blinks for brain computer interface applications"],"prefix":"10.1038","volume":"15","author":[{"given":"Masud","family":"Rabbani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nafi Us Sabbir","family":"Sabith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anubhav","family":"Parida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iysa","family":"Iqbal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sayed Mashroor","family":"Mamun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rumi Ahmed","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farhad","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheikh Iqbal","family":"Ahamed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,1]]},"reference":[{"key":"7205_CR1","doi-asserted-by":"publisher","unstructured":"Dennis, J., McFarland & Wolpaw, J. R. EEG-based brain\u2013computer interfaces. Curr. Opin. Biomed. Eng. 4(December 2017), 194\u2013200. https:\/\/doi.org\/10.1016\/J.COBME.2017.11.004 (2017).","DOI":"10.1016\/J.COBME.2017.11.004"},{"key":"7205_CR2","doi-asserted-by":"publisher","unstructured":"Jonathan, R. et al. Brain\u2013computer interfaces for communication and control. Clin. Neurophysiol. 113(6), 767\u2013791. https:\/\/doi.org\/10.1016\/S1388-2457(02)00057-3 (2002).","DOI":"10.1016\/S1388-2457(02)00057-3"},{"key":"7205_CR3","unstructured":"2021. What is EEG (Electroencephalography) and How Does it Work?\u2014iMotions. Retrieved January 5. https:\/\/imotions.com\/blog\/learning\/research-fundamentals\/what-is-eeg\/#:~:text=EEG%20Frequency%20ranges%20\/%20Frequency%20Bands%20*,Gamma%20Waves%20(%3E30%20Hz%2C%20typically%2040%20Hz) (2025)."},{"key":"7205_CR4","doi-asserted-by":"publisher","unstructured":"Jacques, J. & Vidal Toward direct brain\u2013computer communication. 2(1), 157\u2013180.  https:\/\/doi.org\/10.1146\/ANNUREV.BB.02.060173.001105 (1973).","DOI":"10.1146\/ANNUREV.BB.02.060173.001105"},{"key":"7205_CR5","doi-asserted-by":"publisher","unstructured":"Andreas, A. & Ioannides and Fahmeed Hyder. Magnetoencephalography (MEG).  https:\/\/doi.org\/10.1007\/978-1-59745-543-5_8 (Humana Press, 2009).","DOI":"10.1007\/978-1-59745-543-5_8"},{"key":"7205_CR6","doi-asserted-by":"publisher","unstructured":"Daniel, L., Keene, S., Whiting, Enrique, C. G. & Ventureyra Electrocorticography. (2000). https:\/\/doi.org\/10.1684\/j.1950-6945.2000.tb00352.x","DOI":"10.1684\/j.1950-6945.2000.tb00352.x"},{"key":"7205_CR7","doi-asserted-by":"publisher","unstructured":"Edgar, A. D., et al. Functional magnetic resonance imaging (FMRI) of the human brain. J. Neurosci. Methods. 54(2), 171\u2013187.  https:\/\/doi.org\/10.1016\/0165-0270(94)90191-0 (1994).","DOI":"10.1016\/0165-0270(94)90191-0"},{"key":"7205_CR8","doi-asserted-by":"publisher","unstructured":"Functional near-infrared spectroscopy. IEEE J. Mag. 54\u201362. https:\/\/doi.org\/10.1109\/MEMB.2006.1657788 (2006).","DOI":"10.1109\/MEMB.2006.1657788"},{"key":"7205_CR9","doi-asserted-by":"publisher","unstructured":"Won-Du Chang, H. S., Cha, K., Kim & Chang-Hwan Im Detection of eye blink artifacts from single prefrontal channel electroencephalogram. Comput. Methods Progr. Biomed. 124, 19\u201330. https:\/\/doi.org\/10.1016\/J.CMPB.2015.10.011 (2016).","DOI":"10.1016\/J.CMPB.2015.10.011"},{"key":"7205_CR10","doi-asserted-by":"publisher","unstructured":"Ajay Kumar Maddirala and & Veluvolu, K. C. Eye-blink artifact removal from single channel EEG with k-means and SSA. Sci. Rep. 11(1), 11043. https:\/\/doi.org\/10.1038\/S41598-021-90437-7 (2021).","DOI":"10.1038\/S41598-021-90437-7"},{"key":"7205_CR11","doi-asserted-by":"publisher","unstructured":"Giudice, M. L. et al. Visual explanations of deep convolutional neural network for eye blinks detection in eeg-based bci applications. In 2022 International Joint Conference on Neural Networks (IJCNN), 01\u201308. https:\/\/doi.org\/10.1109\/IJCNN55064.2022.9892567 (IEEE, 2022).","DOI":"10.1109\/IJCNN55064.2022.9892567"},{"key":"7205_CR12","doi-asserted-by":"publisher","unstructured":"Liu, J., Wu, X., Zhang, L. & Zhou, B. A hybrid brain\u2013computer interface system based on motor imageries and Eye-blinking. In Advances in Brain Inspired Cognitive Systems: 9th International Conference, BICS 2018, Xi\u2019an, China, July 7\u20138, 2018, Proceedings, vol. 9, 206\u2013216.  https:\/\/doi.org\/10.1007\/978-3-030-00563-4_20 (Springer International Publishing, 2018).","DOI":"10.1007\/978-3-030-00563-4_20"},{"issue":"1","key":"7205_CR13","doi-asserted-by":"publisher","first-page":"8496","DOI":"10.1038\/s41598-023-34604-y","volume":"13","author":"CC Derchi","year":"2023","unstructured":"Derchi, C. C. et al. Distinguishing intentional from nonintentional actions through Eeg and kinematic markers. Sci. Rep. 13 (1), 8496. https:\/\/doi.org\/10.1038\/s41598-023-34604-y (2023).","journal-title":"Sci. Rep."},{"key":"7205_CR14","doi-asserted-by":"publisher","unstructured":"Rihana, S., Damien, P. & Moujaess, T. Efficient eye blink detection system using RBF classifier. In 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), 360\u2013363. https:\/\/doi.org\/10.1109\/BioCAS.2012.6418422\/ (IEEE, 2012).","DOI":"10.1109\/BioCAS.2012.6418422\/"},{"key":"7205_CR15","doi-asserted-by":"publisher","unstructured":"de L\u00f3pez, R., Jim\u00e9nez Naharro, R. & G\u00f3mez Bravo, F. A Hardware-based configurable algorithm for eye Blink signal detection using a single-channel BCI headset. https:\/\/doi.org\/10.3390\/s23115339\/.","DOI":"10.3390\/s23115339\/"},{"key":"7205_CR16","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1007\/s40846-017-0357-7","volume":"38","author":"R Ranjan","year":"2018","unstructured":"Ranjan, R. et al. Real time eye blink extraction circuit design from EEG signal for ALS patients. J. Med. Biol. Eng. 38, 933\u2013942. https:\/\/doi.org\/10.1007\/s40846-017-0357-7 (2018).","journal-title":"J. Med. Biol. Eng."},{"key":"7205_CR17","doi-asserted-by":"publisher","unstructured":"Tiwari, A. & Chaturvedi, A. A multi-class EEG signal classification model using spatial feature extraction and XGBoost algorithm. In 2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), 4169\u20134175. https:\/\/doi.org\/10.1109\/IROS40897.2019.8967868 (IEEE, 2019).","DOI":"10.1109\/IROS40897.2019.8967868"},{"key":"7205_CR18","unstructured":"XGBoost for Gradient Boosted Trees. Retrieved January 5. (2025). https:\/\/docs.coiled.io\/user_guide\/xgboost.html"},{"key":"7205_CR19","doi-asserted-by":"publisher","unstructured":"Agrawal, R. & Bajaj, P. EEG based brain state classification technique using support vector machine-a design approach. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 895\u2013900. https:\/\/doi.org\/10.1109\/ICISS49785.2020.9316073  (IEEE, 2020).","DOI":"10.1109\/ICISS49785.2020.9316073"},{"issue":"7","key":"7205_CR20","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1016\/j.medengphy.2010.04.016","volume":"32","author":"MK Hazrati","year":"2010","unstructured":"Hazrati, M. K. & Erfanian, A. An online EEG-based brain\u2013computer interface for controlling hand Grasp using an adaptive probabilistic neural network. Med. Eng. Phys. 32 (7), 730\u2013739. https:\/\/doi.org\/10.1016\/j.medengphy.2010.04.016 (2010).","journal-title":"Med. Eng. Phys."},{"key":"7205_CR21","doi-asserted-by":"publisher","unstructured":"Xu, D., et al. A brain-computer interface based semi-autonomous robotic system. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1083\u20131086. https:\/\/doi.org\/10.1109\/ROBIO54168.2021.9739367 (IEEE, 2021).","DOI":"10.1109\/ROBIO54168.2021.9739367"},{"key":"7205_CR22","unstructured":"Ultralytics, Y. O. L. O. & Retrieved January 5. https:\/\/docs.ultralytics.com\/ (2025)."},{"key":"7205_CR23","unstructured":"Ultracortex. Mark IV EEG Headset. Retrieved March 17. https:\/\/shop.openbci.com\/products\/ultracortex-mark-iv (2024)."},{"key":"7205_CR24","doi-asserted-by":"publisher","first-page":"2037","DOI":"10.1109\/TNSRE.2023.3267114","volume":"31","author":"M Shahbakhti","year":"2023","unstructured":"Shahbakhti, M. et al. Fusion of EEG and eye Blink analysis for detection of driver fatigue. IEEE Trans. Neural Syst. Rehabil. Eng. 31, 2037\u20132046. https:\/\/doi.org\/10.1109\/TNSRE.2023.3267114 (2023).","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"7205_CR25","doi-asserted-by":"publisher","unstructured":"Madile, T. T., Hlomani, H. B. & Zlotnikova, I. Electroencephalography biometric authentication using eye Blink artifacts. Indonesian J. Electr. Eng. Comput. Sci. 36(2). https:\/\/doi.org\/10.11591\/ijeecs.v36.i2.pp872-881","DOI":"10.11591\/ijeecs.v36.i2.pp872-881"},{"issue":"3","key":"7205_CR26","doi-asserted-by":"publisher","first-page":"2794","DOI":"10.1109\/JSEN.2022.3232176","volume":"23","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Zheng, X., Xu, W. & Liu, H. Rt-blink: A method toward real-time blink detection from single frontal Eeg signal. IEEE Sens. J. 23 (3), 2794\u20132802. https:\/\/doi.org\/10.1109\/JSEN.2022.3232176 (2023).","journal-title":"IEEE Sens. J."},{"key":"7205_CR27","doi-asserted-by":"publisher","unstructured":"Salinas, R., Schachter, E. & Miranda, M. Recognition and real-time detection of blinking eyes on electroencephalographic signals using wavelet transform. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3\u20136, 2012. Proceedings, vol. 17, 682\u2013690. https:\/\/doi.org\/10.1007\/978-3-642-33275-3_84\/ (Springer Berlin Heidelberg, 2012).","DOI":"10.1007\/978-3-642-33275-3_84\/"},{"key":"7205_CR28","doi-asserted-by":"publisher","unstructured":"Giudice, M. L. et al. 1D Convolutional neural network approach to classify voluntary eye blinks in EEG signals for BCI applications. In 2020 International Joint Conference on Neural Networks (IJCNN), 1\u20137. https:\/\/doi.org\/10.1109\/IJCNN48605.2020.9207195 (IEEE, 2020).","DOI":"10.1109\/IJCNN48605.2020.9207195"},{"key":"7205_CR29","doi-asserted-by":"publisher","unstructured":"Wahab, M. A. & Mansor, W. Analysis of EEG signal obtained during actual and imagined eye blinking. In 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 270\u2013273. https:\/\/doi.org\/10.1109\/IECBES.2018.8626641\/ (IEEE, 2018).","DOI":"10.1109\/IECBES.2018.8626641\/"},{"issue":"3","key":"7205_CR30","doi-asserted-by":"publisher","first-page":"1037","DOI":"10.2466\/pms.1999.88.3.1037","volume":"88","author":"K Kaneko","year":"1999","unstructured":"Kaneko, K. & Sakamoto, K. Evaluation of three types of blinks with the use of electro-oculogram and electromyogram. Percept. Mot. Skills. 88 (3), 1037\u20131052. https:\/\/doi.org\/10.2466\/pms.1999.88.3.1037 (1999).","journal-title":"Percept. Mot. Skills"},{"issue":"5","key":"7205_CR31","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1002\/mds.21887","volume":"23","author":"R Agostino","year":"2008","unstructured":"Agostino, R. et al. Voluntary, spontaneous, and reflex blinking in parkinson\u2019s disease. Mov. Disord. 23 (5), 669\u2013675. https:\/\/doi.org\/10.1002\/mds.21887 (2008).","journal-title":"Mov. Disord."},{"issue":"8","key":"7205_CR32","first-page":"455","volume":"44","author":"K Kaneko","year":"2004","unstructured":"Kaneko, K., Mito, K., Makabe, H., Takanokura, M. & Sakamoto, K. Cortical potentials associated with voluntary, reflex, and spontaneous blinks as bilateral simultaneous eyelid movement. Electromyogr. Clin. Neurophysiol. 44 (8), 455\u2013462 (2004).","journal-title":"Electromyogr. Clin. Neurophysiol."},{"key":"7205_CR33","doi-asserted-by":"publisher","unstructured":"Nguyen, T., Nguyen, T. H., Truong, K. Q. D. & Van Vo, T. A mean threshold algorithm for human eye blinking detection using EEG. In 4th International Conference on Biomedical Engineering in Vietnam, 275\u2013279. https:\/\/doi.org\/10.1007\/978-3-642-32183-2_69 (Springer Berlin Heidelberg, 2013).","DOI":"10.1007\/978-3-642-32183-2_69"},{"key":"7205_CR34","doi-asserted-by":"publisher","unstructured":"Tibdewal, M. N., Fate, R. R., Mahadevappa, M. & Ray, A. Detection and classification of eye blink artifact in electroencephalogram through discrete wavelet transform and neural network. In 2015 International Conference on Pervasive Computing (ICPC), 1\u20136. https:\/\/doi.org\/10.1109\/PERVASIVE.2015.7087077 (IEEE, 2015).","DOI":"10.1109\/PERVASIVE.2015.7087077"},{"key":"7205_CR35","doi-asserted-by":"publisher","unstructured":"Kanoga, S. & Mitsukura, Y. ICA-based positive semidefinite matrix templates for eye-blink artifact removal from EEG signal with single-electrode. In 2015 10th Asian Control Conference (ASCC), 1\u20136. https:\/\/doi.org\/10.1109\/ASCC.2015.7244386 (IEEE, 2015).","DOI":"10.1109\/ASCC.2015.7244386"},{"key":"7205_CR36","doi-asserted-by":"publisher","first-page":"12","DOI":"10.3389\/fnins.2017.00012","volume":"11","author":"K Kleifges","year":"2017","unstructured":"Kleifges, K., Bigdely-Shamlo, N., Kerick, S. E. & Robbins, K. A. BLINKER: automated extraction of ocular indices from EEG enabling large-scale analysis. Front. NeuroSci. 11, 12. https:\/\/doi.org\/10.3389\/fnins.2017.00012 (2017).","journal-title":"Front. NeuroSci."},{"key":"7205_CR37","doi-asserted-by":"publisher","unstructured":"Tran, D. K., Nguyen, T. H. & Ngo, B. V. Amplitude Thresholding of EEG Signals For Eye Blink and Saccade Detection. In 2021 International Conference on System Science and Engineering (ICSSE), 268\u2013273. https:\/\/doi.org\/10.1109\/ICSSE52999.2021.9538428 (IEEE, 2021).","DOI":"10.1109\/ICSSE52999.2021.9538428"},{"issue":"8","key":"7205_CR38","doi-asserted-by":"publisher","first-page":"10783","DOI":"10.3390\/s130810783","volume":"13","author":"W Kong","year":"2013","unstructured":"Kong, W. et al. Automatic and direct identification of Blink components from scalp EEG. Sensors. 13 (8), 10783\u201310801. https:\/\/doi.org\/10.3390\/s130810783 (2013).","journal-title":"Sensors"},{"key":"7205_CR39","doi-asserted-by":"publisher","unstructured":"Rao, G. B. N., Anumala, V. S., Pani, P. P. & Sidhireddy, A. Automatic detection and correction of Blink artifacts in single channel EEG signals. Int. J. Adv. Comput. Sci. Appl. 11 (1). https:\/\/doi.org\/10.14569\/ijacsa.2020.0110144 (2020).","DOI":"10.14569\/ijacsa.2020.0110144"},{"key":"7205_CR40","doi-asserted-by":"publisher","unstructured":"Sammaiah, A., Narsimha, B., Suresh, E. & Reddy, M. S. On the performance of wavelet transform improving Eye blink detections for BCI. In 2011 International Conference on Emerging Trends in Electrical and Computer Technology, 800\u2013804. https:\/\/doi.org\/10.1109\/ICETECT.2011.5760228 (IEEE, 2011).","DOI":"10.1109\/ICETECT.2011.5760228"},{"issue":"2","key":"7205_CR41","doi-asserted-by":"publisher","first-page":"141","DOI":"10.31436\/iiumej.v24i2.2814","volume":"24","author":"LAM Jefri","year":"2023","unstructured":"Jefri, L. A. M., Rahman, F. A., Malik, N. A. & Isa, F. N. M. Eye Blink identification and removal from single-channel EEG using EMD with energy threshold and adaptive filter. IIUM Eng. J. 24 (2), 141\u2013158. https:\/\/doi.org\/10.31436\/iiumej.v24i2.2814 (2023).","journal-title":"IIUM Eng. J."},{"key":"7205_CR42","doi-asserted-by":"publisher","unstructured":"Gupta, S. S. et al. Detecting eye movements in EEG for controlling devices. In 2012 IEEE International Conference on Computational Intelligence and Cybernetics (CyberneticsCom), 69\u201373. https:\/\/doi.org\/10.1109\/CyberneticsCom.2012.6381619 (IEEE, 2012).","DOI":"10.1109\/CyberneticsCom.2012.6381619"},{"key":"7205_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1049\/iet-spr.2018.5111","volume":"13","author":"R Ghosh","year":"2019","unstructured":"Ghosh, R., Sinha, N. & Biswas, S. Automated eye Blink artifact removal from EEG using support vector machine and autoencoder. IET Signal. Process. 13, 1\u20137 (2019).","journal-title":"IET Signal. Process."},{"key":"7205_CR44","doi-asserted-by":"publisher","unstructured":"Ferrari Iaquinta, A., de Sousa Silva, A. C., Ferraz, A. J\u00fanior, de Toledo, J. M. & Voltani von Atzingen, G. EEG multipurpose eye Blink detector using convolutional neural network. ArXiv e-prints. arXiv-2107. https:\/\/doi.org\/10.33448\/rsd-v10i15.22712 (2021).","DOI":"10.33448\/rsd-v10i15.22712"},{"key":"7205_CR45","doi-asserted-by":"publisher","unstructured":"Matiko, J. W., Beeby, S. & Tudor, J. Real time eye blink noise removal from EEG signals using morphological component analysis. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 13\u201316. https:\/\/doi.org\/10.1109\/EMBC.2013.6609425 (IEEE, 2013).","DOI":"10.1109\/EMBC.2013.6609425"},{"key":"7205_CR46","doi-asserted-by":"publisher","unstructured":"Dehzangi, O., Melville, A. & Taherisadr, M. Automatic eeg blink detection using dynamic time warping score clustering. In Advances in Body Area Networks I: Post-Conference Proceedings of BodyNets 2017, 49\u201360. https:\/\/doi.org\/10.1007\/978-3-030-02819-0_5 (Springer International Publishing, 2019).","DOI":"10.1007\/978-3-030-02819-0_5"},{"key":"7205_CR47","doi-asserted-by":"publisher","unstructured":"Farago, E., Law, A. J., Hajra, S. G. & Chan, A. D. Blink and saccade detection from forehead EEG. In 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1\u20136. https:\/\/doi.org\/10.1109\/I2MTC48687.2022.9806494 (IEEE, 2022).","DOI":"10.1109\/I2MTC48687.2022.9806494"},{"key":"7205_CR48","unstructured":"UBICOMP Research Lab. https:\/\/ubicomp.cs.mu.edu\/index.html (accessed 09 Apr 2025)."},{"issue":"4","key":"7205_CR49","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1176\/appi.neuropsych.17070140","volume":"30","author":"E Abi-Jaoude","year":"2018","unstructured":"Abi-Jaoude, E., Segura, B., Cho, S. S., Crawley, A. & Sandor, P. The neural correlates of self-regulatory fatigability during inhibitory control of eye blinking. J. Neuropsychiatry Clin. Neurosci. 30 (4), 325\u2013333. https:\/\/doi.org\/10.1176\/appi.neuropsych.17070140 (2018).","journal-title":"J. Neuropsychiatry Clin. Neurosci."},{"issue":"2","key":"7205_CR50","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1038\/eye.2014.284","volume":"29","author":"P Pouget","year":"2015","unstructured":"Pouget, P. The cortex is in overall control of \u2018voluntary\u2019eye movement. Eye. 29 (2), 241\u2013245. https:\/\/doi.org\/10.1038\/eye.2014.284 (2015).","journal-title":"Eye"},{"key":"7205_CR51","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.knosys.2013.02.014","volume":"45","author":"UR Acharya","year":"2013","unstructured":"Acharya, U. R., Sree, S. V., Swapna, G., Martis, R. J. & Suri, J. S. Automated EEG analysis of epilepsy: a review. Knowl. Based Syst. 45, 147\u2013165. https:\/\/doi.org\/10.1016\/j.knosys.2013.02.014 (2013).","journal-title":"Knowl. Based Syst."},{"issue":"3","key":"7205_CR52","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/0013-4694(70)90143-4","volume":"29","author":"B Hjorth","year":"1970","unstructured":"Hjorth, B. EEG analysis based on time domain properties. Electroencephalogr. Clin. Neurophysiol. 29 (3), 306\u2013310. https:\/\/doi.org\/10.1016\/0013-4694(70)90143-4 (1970).","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"issue":"2","key":"7205_CR53","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.cmpb.2004.10.009","volume":"78","author":"A Subasi","year":"2005","unstructured":"Subasi, A. & Ercelebi, E. Classification of EEG signals using neural network and logistic regression. Comput. Methods Progr. Biomed. 78 (2), 87\u201399. https:\/\/doi.org\/10.1016\/j.cmpb.2004.10.009 (2005).","journal-title":"Comput. Methods Progr. Biomed."},{"issue":"6","key":"7205_CR54","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1093\/bja\/aeh270","volume":"93","author":"O Dressler","year":"2004","unstructured":"Dressler, O., Schneider, G., Stockmanns, G. & Kochs, E. F. Awareness and the EEG power spectrum: analysis of frequencies. Br. J. Anaesth. 93 (6), 806\u2013809. https:\/\/doi.org\/10.1093\/bja\/aeh270 (2004).","journal-title":"Br. J. Anaesth."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-07205-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-07205-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-07205-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T15:25:20Z","timestamp":1751383520000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-07205-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,1]]},"references-count":54,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["7205"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-07205-0","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,1]]},"assertion":[{"value":"10 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"21007"}}