{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T23:11:56Z","timestamp":1761693116550,"version":"build-2065373602"},"reference-count":64,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100012453","name":"Providence Health Care","doi-asserted-by":"publisher","award":["41711PK"],"award-info":[{"award-number":["41711PK"]}],"id":[{"id":"10.13039\/100012453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015318","name":"Montreal Neurological Institute and Hospital","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015318","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1016\/j.bspc.2023.105041","type":"journal-article","created":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:21:25Z","timestamp":1684369285000},"page":"105041","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Interactive interface for spatio-temporal mapping of epileptic human brain using characteristics of high frequency oscillations (HFOs)"],"prefix":"10.1016","volume":"85","author":[{"given":"Sahbi","family":"Chaibi","sequence":"first","affiliation":[]},{"given":"Chahira","family":"Mahjoub","sequence":"additional","affiliation":[]},{"given":"R\u00e9gine","family":"Le Bouquin Jeann\u00e8s","sequence":"additional","affiliation":[]},{"given":"Abdennaceur","family":"Kachouri","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.bspc.2023.105041_b0005","doi-asserted-by":"crossref","first-page":"1958","DOI":"10.1152\/jn.00341.2013","article-title":"Pathological and physiological high-frequency oscillations in focal human epilepsy","volume":"110","author":"Matsumoto","year":"2013","journal-title":"J. Neurophysiol."},{"issue":"5","key":"10.1016\/j.bspc.2023.105041_b0010","article-title":"Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners","volume":"71","author":"Anuragi","year":"2021","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.bspc.2023.105041_b0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104708","article-title":"Automated FBSE-EWT based Learning Framework for Detection of Epileptic Seizures using Time-segmented EEG Signals","volume":"136","author":"Anuragi","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.bspc.2023.105041_b0020","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.clinph.2009.10.019","article-title":"Pitfalls of high pass filtering for detecting epileptic oscillations: a technical note on false ripples","volume":"121","author":"B\u00e9nar","year":"2010","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.bspc.2023.105041_b0025","article-title":"High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy","volume":"28, 10(1):1632","author":"Boran","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bspc.2023.105041_b0030","article-title":"Epileptic High-Frequency Oscillations in Intracranial EEG are not confounded by cognitive tasks","volume":"15","author":"Ece","year":"2021","journal-title":"Front. Hum. Neurosci."},{"issue":"2","key":"10.1016\/j.bspc.2023.105041_b0035","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1002\/ana.25006","article-title":"Very High-Frequency Oscillations: Novel Biomarkers of the Epileptogenic Zone","volume":"82","author":"Brazdil","year":"2017","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.bspc.2023.105041_b0040","unstructured":"Chiran Dilip Doshi, Methods for detecting high frequency oscillations in ongoing brain signals: Applications to the determination of epileptic seizure zones. Marquette University, master\u2019s theses, 2011."},{"issue":"5","key":"10.1016\/j.bspc.2023.105041_b0045","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1111\/epi.12075","article-title":"High-frequency oscillations, extent of surgical resection, and surgical outcome in drug-resistant focal epilepsy","volume":"54","author":"Haegelen","year":"2013","journal-title":"Epilepsia"},{"issue":"1","key":"10.1016\/j.bspc.2023.105041_b0050","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1093\/brain\/awp277","article-title":"Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy","volume":"133","author":"Crepon","year":"2010","journal-title":"Brain"},{"key":"10.1016\/j.bspc.2023.105041_b0055","doi-asserted-by":"crossref","unstructured":"Dakun Lai, Xinyue Zhang, Kefei Ma, Zichu Chen, Wenjing Chen, Heng Zhang, Han Yuan and Lei Ding. Automated detection of high frequency oscillations in intracranial EEG using the combination of short-time energy and convolutional neural networks. IEEE Access 2019;7:1-1, doi:10.1109\/ACCESS.2019.2923281.","DOI":"10.1109\/ACCESS.2019.2923281"},{"issue":"1","key":"10.1016\/j.bspc.2023.105041_b0060","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/ab4560","article-title":"Automatic detection of high-frequency-oscillations and their sub-groups co-occurring with interictal-epileptic-spikes","volume":"17","author":"Lachner-Piza","year":"2020","journal-title":"J. Neural Eng."},{"key":"10.1016\/j.bspc.2023.105041_b0065","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.neucom.2019.03.055","article-title":"A method for detecting high-frequency oscillations using semi-supervised k-means and mean shift clustering","volume":"350","author":"Yuxiao","year":"2019","journal-title":"Neurocomputing"},{"issue":"9","key":"10.1016\/j.bspc.2023.105041_b0070","doi-asserted-by":"crossref","first-page":"1721","DOI":"10.1016\/j.clinph.2012.02.072","article-title":"Automatic 80\u2013250 Hz \u201cripple\u201d high frequency oscillation detection in invasive subdural grid and strip recordings in epilepsy by a radial basis function neural network","volume":"123","author":"D\u00fcmpelmann","year":"2012","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.bspc.2023.105041_b0075","doi-asserted-by":"crossref","unstructured":"Fatma Krikid, Sahbi Chaibi, Ahmad Karfoul, Abdennaceur Kachouri, R\u00e9gine Le Bouquin Jeann\u00e8s. A comparative study between three epileptic high frequency oscillations detection strategies, in: 17th International Multi-Conference on Systems, Signals and Devices 2020; doi: 10.1109\/SSD49366.2020.9364171.","DOI":"10.1109\/SSD49366.2020.9364171"},{"year":"2015","series-title":"Automatic detection of the HFO zone in epilepsy using magnetoencephalography","author":"van Rosmalen","key":"10.1016\/j.bspc.2023.105041_b0080"},{"key":"10.1016\/j.bspc.2023.105041_b0085","article-title":"Using 3D scanning for EEG electrodes positioning. Conference of Organization for","author":"Taberna","year":"2019","journal-title":"Hum. Brain Mapp."},{"issue":"5","key":"10.1016\/j.bspc.2023.105041_b0090","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1016\/j.clinph.2006.12.019","article-title":"Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings","volume":"118","author":"Gardner","year":"2007","journal-title":"Clin. Neurophysiol."},{"issue":"4","key":"10.1016\/j.bspc.2023.105041_b0095","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1093\/brain\/awn006","article-title":"High frequency oscillations in human temporal lobe simultaneous microwire and clinical macroelectrode recordings","volume":"131","author":"Worrell","year":"2008","journal-title":"Brain"},{"issue":"2","key":"10.1016\/j.bspc.2023.105041_b0100","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.jneumeth.2012.12.013","article-title":"Automatic detection of fast ripples","volume":"213","author":"Birot","year":"2013","journal-title":"J. Neurosci. Methods"},{"issue":"8","key":"10.1016\/j.bspc.2023.105041_b0105","doi-asserted-by":"crossref","first-page":"e639","DOI":"10.1212\/WNL.0000000000004998","article-title":"Spatial variation in high-frequency oscillation rates and amplitudes in intracranial EEG","volume":"90","author":"Guragain","year":"2018","journal-title":"Neurology"},{"key":"10.1016\/j.bspc.2023.105041_b0110","doi-asserted-by":"crossref","unstructured":"Havel T, Janca R, Jezdik P, Cmejla R, Krsek P, Jefferys J.G.R., P. Marusic P, Jiruska P. Automatic Detection of High-frequency Oscillations in Invasive Recordings, in: IEEE International Workshop on Medical Measurement and Applications (MEMEA) 4-5 May 2013, doi: 10.1109\/MeMeA.2013.6549741.","DOI":"10.1109\/MeMeA.2013.6549741"},{"issue":"9","key":"10.1016\/j.bspc.2023.105041_b0115","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1002\/acn3.618","article-title":"Physiological and pathological high frequency oscillations in focal epilepsy","volume":"5","author":"Cimbalnik","year":"2018","journal-title":"Ann. Clin. Transl. Neurol."},{"key":"10.1016\/j.bspc.2023.105041_b0120","doi-asserted-by":"crossref","unstructured":"Jennifer A. Ogren, Charles L. Wilson, Anatol Bragin, Jack J. Lin, Noriko Salamon, Rebecca A. Dutton, Eileen Luders, Tony A.Fields, Itzhak fried, Arthur w.Toga, Paul M.Thompson, Jerome Engel. Jr and Richard J. Staba. 3D surface maps link local atrophy & Fast Ripples in human epileptic hippocampus, Ann. Neurol. 2009; 66(6):783-791, doi:10.1002\/ana.21703.","DOI":"10.1002\/ana.21703"},{"issue":"6","key":"10.1016\/j.bspc.2023.105041_b0125","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1177\/1535759720957308","article-title":"HFO to Measure Seizure Propensity and Improve Prognostication in Patients with Epilepsy","volume":"20","author":"Jacobs","year":"2020","journal-title":"Epilepsy Currents"},{"issue":"3","key":"10.1016\/j.bspc.2023.105041_b0130","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.pneurobio.2012.03.001","article-title":"High-frequency oscillations (HFOs) in clinical epilepsy","volume":"98","author":"Jacobsa","year":"2012","journal-title":"Prog. Neurobiol."},{"issue":"48","key":"10.1016\/j.bspc.2023.105041_b0135","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1016\/j.neuron.2005.09.026","article-title":"Epileptogenic actions of GABA and fast oscillations in the developing hippocampus","volume":"2005","author":"Khalilov","year":"2005","journal-title":"Neuron"},{"key":"10.1016\/j.bspc.2023.105041_b0140","doi-asserted-by":"crossref","unstructured":"Kritiprasanna Das, Ram Bilas Pachori. Electroencephalogram Based Motor Imagery Brain Computer Interface Using Multivariate Iterative Filtering and Spatial Filtering, in: IEEE Transactions on Cognitive and Developmental Systems 2022, doi:10.1109\/TCDS.2022.3214081.","DOI":"10.1109\/TCDS.2022.3214081"},{"issue":"12","key":"10.1016\/j.bspc.2023.105041_b0145","article-title":"Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals","volume":"67","author":"Das","year":"2021","journal-title":"Biomed. Signal Process. Control"},{"issue":"7","key":"10.1016\/j.bspc.2023.105041_b0150","doi-asserted-by":"crossref","first-page":"1850001","DOI":"10.1142\/S0129065718500016","article-title":"Kurtosis-Based Detection of Intracranial High-Frequency Oscillations for the Identification of the Seizure Onset Zone","volume":"28","author":"Quitadamo","year":"2018","journal-title":"Int. J. Neural Syst."},{"issue":"1","key":"10.1016\/j.bspc.2023.105041_b0155","doi-asserted-by":"crossref","first-page":"18147","DOI":"10.1038\/s41598-020-74306-3","article-title":"High frequency oscillations in epileptic and non-epileptic human hippocampus during a cognitive task","volume":"10","author":"Pail","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bspc.2023.105041_b0160","unstructured":"Martin Pail, Human intracranial high frequency Oscillations - both physiological and pathological phenomena, Habilitation thesis at Masaryk University, Faculty of Medicine 2021."},{"key":"10.1016\/j.bspc.2023.105041_b0165","doi-asserted-by":"crossref","unstructured":"Matthias Deumpelmann, Julia Jacobs, and Andreas Schulze-Bonhage. Temporal and spatial characteristics of high frequency oscillations as a new biomarker in epilepsy. Epilepsia 2015; 56(2):197\u2013206, 2015, doi: 10.1111\/epi.12844.","DOI":"10.1111\/epi.12844"},{"issue":"6","key":"10.1016\/j.bspc.2023.105041_b0170","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0158276","article-title":"RIPPLELAB: A Comprehensive Application for the Detection, Analysis and Classification of High Frequency Oscillations in Electroencephalographic Signals","volume":"11","author":"Navarrete","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.bspc.2023.105041_b0175","unstructured":"R.Y. Naeini, Automatic Detection of High Frequency Oscillations of Neural Signals in Epileptic Patients. Concordia University, Montreal, Quebec, Canada, 2012 (A Thesis in Electrical and Computer Engineering)."},{"key":"10.1016\/j.bspc.2023.105041_b0180","doi-asserted-by":"crossref","unstructured":"Nicolas Roehri, jean-marc Lina John C Mosher, Fabrice Bartolomei. Time-Frequency Strategies for Increasing High-Frequency Oscillation Detectability in Intracerebral EEG. In: IEEE transactions on bio-medical engineering 2016, doi: 10.1109\/TBME.2016.2556425.","DOI":"10.1109\/TBME.2016.2556425"},{"key":"10.1016\/j.bspc.2023.105041_b0185","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0174702","article-title":"What are the assets and weaknesses of HFO detectors? A benchmark framework based on realistic simulations","author":"Roehri","year":"2017","journal-title":"PLoS One"},{"issue":"4","key":"10.1016\/j.bspc.2023.105041_b0190","doi-asserted-by":"crossref","first-page":"220","DOI":"10.3390\/brainsci10040220","article-title":"Double-step machine learning based procedure for HFOs detection and classification","volume":"10","author":"Sciaraffa","year":"2020","journal-title":"Brain Sci."},{"issue":"9","key":"10.1016\/j.bspc.2023.105041_b0195","doi-asserted-by":"crossref","first-page":"2230","DOI":"10.1109\/TBME.2016.2633391","article-title":"Automatic Detection and Classification of High-Frequency Oscillations in Depth-EEG Signals","volume":"64","author":"Jrad","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"8","key":"10.1016\/j.bspc.2023.105041_b0200","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1016\/j.clinph.2020.04.168","article-title":"Seizure onset location shapes dynamics of initiation","volume":"131","author":"Salami","year":"2020","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.bspc.2023.105041_b0205","doi-asserted-by":"crossref","first-page":"20","DOI":"10.3389\/fninf.2019.00020","article-title":"MEEGIPS: A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations","volume":"13","author":"Holler","year":"2019","journal-title":"Front. Neuroinform"},{"key":"10.1016\/j.bspc.2023.105041_b0210","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.clinph.2011.06.006","article-title":"A comparison between detectors of high frequency oscillations","volume":"123","author":"Zelmann","year":"2012","journal-title":"Clin. Neurophysiol."},{"issue":"12","key":"10.1016\/j.bspc.2023.105041_b0215","doi-asserted-by":"crossref","first-page":"1986","DOI":"10.1111\/epi.12851","article-title":"The spatial and signal characteristics of physiologic high frequency oscillations","volume":"55","author":"Alkawadri","year":"2014","journal-title":"Epilepsia"},{"issue":"4","key":"10.1016\/j.bspc.2023.105041_b0220","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1111\/epi.12550","article-title":"A practical clinical definition of epilepsy","volume":"55","author":"Fisher","year":"2014","journal-title":"Epilepsia"},{"year":"2007","series-title":"Algorithms to Detect High Frequency Oscillations in Human Intracerebral EEG","author":"Rahul chander.","key":"10.1016\/j.bspc.2023.105041_b45"},{"key":"10.1016\/j.bspc.2023.105041_b0230","first-page":"13 :6","article-title":"Automated detection of high-frequency oscillations in epilepsy based on a convolutional neural network","volume":"12","author":"Zuo","year":"2019","journal-title":"Front. Comput. Neurosci."},{"key":"10.1016\/j.bspc.2023.105041_b0235","doi-asserted-by":"crossref","unstructured":"Sahbi Chaibi, Fatma Krikid, Chahira Mahjoub, Tarek Lajnef, R\u00e9gine Le Bouquin Jeann\u00e8s, Abdennaceur Kachouri. Detection of Epileptic High Frequency Oscillations Using Support Vector Machines. 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) 2020; doi: 10.1109\/ATSIP49331.2020.9231905.","DOI":"10.1109\/ATSIP49331.2020.9231905"},{"key":"10.1016\/j.bspc.2023.105041_b0240","doi-asserted-by":"crossref","unstructured":"Sahbi Chaibi, Tarek Lajnef, Mounir Samet, Karim Jerbi and Abdennaceur Kachouri. Detection of High Frequency Oscillations (HFOs) in the 80\u2013500 Hz range in epilepsy recordings using decision tree analysis. International Image Processing, Applications and Systems Conference 2014; doi: 10.1109\/IPAS.2014.7043321.","DOI":"10.1109\/IPAS.2014.7043321"},{"issue":"2","key":"10.1016\/j.bspc.2023.105041_b0245","first-page":"25","article-title":"A Comparaison of Methods for Detection of High Frequency Oscillations (HFOs) in Human Intacerberal EEG Recordings","volume":"3","author":"Chaibi","year":"2013","journal-title":"American Journal of Signal Processing"},{"issue":"6","key":"10.1016\/j.bspc.2023.105041_b0250","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1016\/j.bspc.2013.08.009","article-title":"Automated detection and classification of high frequency oscillations (HFOs) in human intracereberal EEG","volume":"8","author":"Chaibi","year":"2013","journal-title":"Biomed. Signal Process. Control"},{"issue":"4","key":"10.1016\/j.bspc.2023.105041_b0255","doi-asserted-by":"crossref","first-page":"e94381","DOI":"10.1371\/journal.pone.0094381","article-title":"Human intracranial high frequency oscillations (HFOs) detected by automatic time-frequency analysis","volume":"9","author":"Burnos","year":"2014","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/j.bspc.2023.105041_b0260","doi-asserted-by":"crossref","first-page":"409","DOI":"10.2217\/bmm-2018-0335","article-title":"Localizing epileptogenic regions using high-frequency oscillations and machine learning","volume":"13","author":"Weiss","year":"2019","journal-title":"Biomark. Med."},{"key":"10.1016\/j.bspc.2023.105041_b0265","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1007\/s11045-019-00693-0","article-title":"Epileptic high-frequency oscillations: detection and classification","volume":"31","author":"Shun-Chi","year":"2020","journal-title":"Multidim. Syst. Sign. Process."},{"key":"10.1016\/j.bspc.2023.105041_b0270","doi-asserted-by":"crossref","unstructured":"Sibghatullah Inayatullah Khan, Ram Bilas Pachori. Empirical Wavelet Transform-Based Framework for Diagnosis of Epilepsy Using EEG Signals. Chapter book: AI-Enabled Smart Healthcare Using Biomedical Signals 2022; pp.217-239, doi :10.4018\/978-1-6684-3947-0.ch012.","DOI":"10.4018\/978-1-6684-3947-0.ch012"},{"issue":"4","key":"10.1016\/j.bspc.2023.105041_b0275","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.1152\/jn.2002.88.4.1743","article-title":"Quantitative analysis of high-frequency oscillations (80\u2013500 Hz) recorded in human epileptic hippocampus and entorhinal cortex","volume":"88","author":"Staba","year":"2002","journal-title":"J. Neurophysiol"},{"issue":"5","key":"10.1016\/j.bspc.2023.105041_b0280","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/abb89b","article-title":"Distinguishing false and true positive detections of high frequency oscillations","volume":"17","author":"Gliske","year":"2020","journal-title":"J. Neural Eng."},{"key":"10.1016\/j.bspc.2023.105041_b0285","first-page":"6290","article-title":"The intrinsic value of hfo features as a biomarker of epileptic activity","author":"Gliske","year":"2016","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"10.1016\/j.bspc.2023.105041_b0290","doi-asserted-by":"crossref","unstructured":"Stephen V. Gliske, Zachary T. Irwin, Cynthia Chestek, Garnett L. Hegeman, Benjamin Brinkmann, Oren Sagher, Hugh J.L. Garton, Greg A. Worrell & William C. Stacey. Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings. Nature Communications 2018; 9:2155, DOI: 10.1038\/s41467-018-04549-2.","DOI":"10.1038\/s41467-018-04549-2"},{"issue":"2","key":"10.1016\/j.bspc.2023.105041_b0295","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/13\/2\/026026","article-title":"Exploring the time-frequency content of high frequency oscillations for automated identification of seizure onset zone in epilepsy","volume":"13","author":"Liu","year":"2016","journal-title":"J. Neural Eng."},{"issue":"9","key":"10.1016\/j.bspc.2023.105041_b0300","doi-asserted-by":"crossref","first-page":"2354","DOI":"10.1093\/brain\/awm149","article-title":"Interictal high-frequency oscillations (100\u2013500 Hz) in the intracerebral EEG of epileptic patients","volume":"130","author":"Urrestarazu","year":"2007","journal-title":"Brain"},{"key":"10.1016\/j.bspc.2023.105041_b0305","first-page":"2","article-title":"Expert consensus on clinical applications of high-frequency oscillations in epilepsy","author":"Wang","year":"2020","journal-title":"Acta Epileptologica"},{"key":"10.1016\/j.bspc.2023.105041_b0310","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1212\/01.wnl.0000344402.20334.81","article-title":"High-frequency oscillations mirror disease activity in patients with epilepsy","volume":"72","author":"Zijlmans","year":"2009","journal-title":"Neurology"},{"key":"10.1016\/j.bspc.2023.105041_b0315","doi-asserted-by":"crossref","unstructured":"Zhou G, Torben N, Arjun S, Qiaohan Y, Karina A. Gonz\u00e1lez Ot\u00e1rula, Matthew T, Jessica W. Templer, Gregory L and Christina Zelano. HFOApp: A MATLAB Graphical User Interface for High-Frequency Oscillation Marking. eNeuro 2021; 8(5) ENEURO.0509-20.2021 1\u201316.","DOI":"10.1523\/ENEURO.0509-20.2021"},{"key":"10.1016\/j.bspc.2023.105041_b0320","doi-asserted-by":"crossref","unstructured":"Zimo Liu, Penghu Wei, Yiping Wang, Yanfeng Yang, Yang Dai, Gongpeng Cao, Guixia Kang, Yongzhi Shan, Da Liu, Yongzhao Xie. Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation. Computational Intelligence and Neuroscience 2021; Article ID 7532241, pp. 18, https:\/\/doi.org\/10.1155\/2021\/7532241.","DOI":"10.1155\/2021\/7532241"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809423004743?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809423004743?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T19:41:42Z","timestamp":1761680502000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809423004743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":64,"alternative-id":["S1746809423004743"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2023.105041","relation":{},"ISSN":["1746-8094"],"issn-type":[{"type":"print","value":"1746-8094"}],"subject":[],"published":{"date-parts":[[2023,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Interactive interface for spatio-temporal mapping of epileptic human brain using characteristics of high frequency oscillations (HFOs)","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2023.105041","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"105041"}}