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We developed a feature extraction method for seizure detection based on multi-site synchronous changes and an edge detection algorithm. We investigated five chronic temporal lobe epilepsy rats with 8- and 12-channel detection sites in the hippocampus and limbic system. Multi-site synchronous changes were selected as a specific feature and implemented as a seizure detection method. For preprocessing, we used magnitude-squared coherence maps and Canny edge detection algorithm to find the frequency band with the most significant change in synchronization and the important channel pairs. In detection, we used the maximal cross-correlation coefficient as an indicator of synchronization and the correlation coefficient curves\u2019 average value and standard deviation as two detection features. The method achieved high performance, with an average 96.60% detection rate, 2.63\/h false alarm rate, and 1.25 s detection delay. The experimental results show that synchronization is an appropriate feature for seizure detection. The magnitude-squared coherence map can assist in selecting a specific frequency band and channel pairs to enhance the detection result. We found that individuals have a specific frequency band that reflects the most significant synchronization changes, and our method can individually adjust parameters and has good detection performance.<\/jats:p>","DOI":"10.3390\/brainsci13010052","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T08:38:19Z","timestamp":1672216699000},"page":"52","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Feature Extraction Method for Seizure Detection Based on Multi-Site Synchronous Changes and Edge Detection Algorithm"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3335-6620","authenticated-orcid":false,"given":"Xiang","family":"Gao","sequence":"first","affiliation":[{"name":"Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou 310027, China"},{"name":"Binjiang Institude of Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufang","family":"Yang","sequence":"additional","affiliation":[{"name":"Qiushi Academy for Advanced Studies (QAAS) and Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Qiushi Academy for Advanced Studies (QAAS) and Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou 310027, China"},{"name":"Binjiang Institude of Zhejiang University, Hangzhou 310027, China"},{"name":"Zhejiang University Embedded System Engineering Research Center, Ministry of Education of China, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junming","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Ningbo First Hospital, Ningbo 315010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kedi","family":"Xu","sequence":"additional","affiliation":[{"name":"Binjiang Institude of Zhejiang University, Hangzhou 310027, China"},{"name":"Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou 310027, China"},{"name":"MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaowu","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou 310027, China"},{"name":"Qiushi Academy for Advanced Studies (QAAS) and Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China"},{"name":"Zhejiang Provincial Key Laboratory for Network Multimedia Technologies, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1111\/j.1528-1167.2005.00273_4.x","article-title":"Response: Definitions Proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE)","volume":"46","author":"Fisher","year":"2005","journal-title":"Epilepsia"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0140-6736(18)32596-0","article-title":"Epilepsy in adults","volume":"393","author":"Thijs","year":"2019","journal-title":"Lancet"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1111\/epi.12633","article-title":"A validation of the new definition of drug-resistant epilepsy by the International League Against Epilepsy","volume":"55","author":"Buckley","year":"2014","journal-title":"Epilepsia"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1109\/TNSRE.2019.2894746","article-title":"Acute Seizure Control Efficacy of Multi-Site Closed-Loop Stimulation in a Temporal Lobe Seizure Model","volume":"27","author":"Zheng","year":"2019","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_5","unstructured":"Esteller, R., Echauz, J., Tcheng, T., Litt, B., and Pless, B. (2001, January 25\u201328). Line length: An efficient feature for seizure onset detection. Proceedings of the 2001 Conference 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.clinph.2004.08.004","article-title":"A system to detect the onset of epileptic seizures in scalp EEG","volume":"116","author":"Saab","year":"2005","journal-title":"Clin. Neurophysiol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/TIM.2010.2050358","article-title":"A Portable Wireless Online Closed-Loop Seizure Controller in Freely Moving Rats","volume":"60","author":"Young","year":"2011","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"285","DOI":"10.4149\/gpb_2015010","article-title":"An autonomous real-time single-channel detection of absence seizures in WAG\/Rij rats","volume":"34","author":"Aghazadeh","year":"2015","journal-title":"Gen. Physiol. Biophys."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2180878.2180882","article-title":"Low-Power Architecture for Epileptic Seizure Detection Based on Reduced Complexity DWT","volume":"8","author":"Sharad","year":"2012","journal-title":"ACM J. Emerg. Technol. Comput. Syst. JETC"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"066006","DOI":"10.1088\/1741-2552\/aa8069","article-title":"Mouse epileptic seizure detection with multiple EEG features and simple thresholding technique","volume":"14","author":"Tieng","year":"2017","journal-title":"J. Neural Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1109\/TITB.2006.884369","article-title":"Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks","volume":"11","author":"Srinivasan","year":"2007","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"066004","DOI":"10.1088\/1741-2552\/abc1b7","article-title":"Machine learning approach to detect focal-onset seizures in the human anterior nucleus of the thalamus","volume":"17","author":"Toth","year":"2020","journal-title":"J. Neural Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1109\/TNSRE.2018.2818123","article-title":"A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals","volume":"26","author":"Gupta","year":"2018","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1109\/TNSRE.2019.2947426","article-title":"An Energy Efficient AdaBoost Cascade Method for Long-Term Seizure Detection in Portable Neurostimulators","volume":"27","author":"Xu","year":"2019","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/S0167-2789(00)00087-7","article-title":"Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients","volume":"144","author":"Mormann","year":"2000","journal-title":"Phys. D Nonlinear Phenom."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1354915","DOI":"10.1155\/2018\/1354915","article-title":"Phase Synchronization Dynamics of Neural Network during Seizures","volume":"2018","author":"Liu","year":"2018","journal-title":"Comput. Math. Methods Med."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Gupta, D., and James, C.J. (2007, January 22\u201326). Narrowband vs. Broadband Phase Synchronization Analysis Applied to Independent Components of Ictal and Interictal EEG. Proceedings of the 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France.","DOI":"10.1109\/IEMBS.2007.4353176"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1113\/jphysiol.2012.239590","article-title":"Synchronization and desynchronization in epilepsy: Controversies and hypotheses","volume":"591","author":"Jiruska","year":"2013","journal-title":"J. Physiol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/S0920-1211(03)00002-0","article-title":"Epileptic seizures are preceded by a decrease in synchronization","volume":"53","author":"Mormann","year":"2003","journal-title":"Epilepsy Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"021912","DOI":"10.1103\/PhysRevE.67.021912","article-title":"Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients","volume":"67","author":"Mormann","year":"2003","journal-title":"Phys. Rev. E, Stat. Nonlinear Soft Matter Phys."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Cotic, M., Zalay, O., Carlen, P.L., Chinvarun, Y., and Bardakjian, B.L. (2013, January 3\u20137). Synchrony of high frequency oscillations in the human epileptic brain. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan.","DOI":"10.1109\/EMBC.2013.6610815"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/TBME.2014.2386791","article-title":"Spatial Coherence Profiles of Ictal High-Frequency Oscillations Correspond to Those of Interictal Low-Frequency Oscillations in the ECoG of Epileptic Patients","volume":"63","author":"Cotic","year":"2016","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1109\/LSP.2003.822897","article-title":"Exact confidence interval for magnitude-squared coherence estimates","volume":"11","author":"Wang","year":"2004","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/0168-5597(93)90040-V","article-title":"Objective response detection in the frequency domain","volume":"88","author":"Dobie","year":"1993","journal-title":"Electroencephalogr. Clin. Neurophysiol. Potentials Sect."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1016\/0022-460X(81)90424-7","article-title":"Engineering applications of correlation and spectral analysis","volume":"74","author":"Robson","year":"1981","journal-title":"J. Sound Vib."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1109\/TASSP.1977.1162898","article-title":"Receiver operating characteristics for a linearly thresholded coherence estimation detector","volume":"25","author":"Carter","year":"1977","journal-title":"IEEE Trans. Acoust. Speech, Signal Process."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1109\/PROC.1987.13723","article-title":"Coherence and time delay estimation","volume":"75","author":"Carter","year":"1987","journal-title":"Proc. IEEE"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1109\/TASSP.1980.1163474","article-title":"Confidence Bounds for Signal-to-Noise Ratios from Magnitude-Squared Coherence Estimates","volume":"28","author":"Fay","year":"1981","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"177","DOI":"10.3109\/14992020309101316","article-title":"Human auditory steady-state responses","volume":"42","author":"Picton","year":"2003","journal-title":"Int. J. Audiol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1054\/jelc.2002.29944","article-title":"Differentiation of atrial rhythms from the electrocardiogram with coherence spectra","volume":"35","author":"Sarraf","year":"2002","journal-title":"J. Electrocardiol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1908","DOI":"10.1109\/TNSRE.2018.2862396","article-title":"Magnitude Squared Coherence Method based on Weighted Canonical Correlation Analysis for EEG Synchronization Analysis in Amnesic Mild Cognitive Impairment of Diabetes Mellitus","volume":"26","author":"Cui","year":"2018","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1109\/TNSRE.2019.2948798","article-title":"Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM","volume":"28","author":"Rasheed","year":"2020","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"11981","DOI":"10.1029\/91JB00193","article-title":"Coherence of seismic body waves from local events as measured by a small-aperture array","volume":"961","author":"Vernon","year":"1991","journal-title":"J. Geophys. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Yang, Y., Zhang, F., Zhu, J., Wang, Y., and Xu, K. (2020, January 20\u201324). Time-variant Epileptic Brain Functional Connectivity of Focal and Generalized Seizure in Chronic Temporal Lobe Epilepsy Rat. Proceedings of the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada.","DOI":"10.1109\/EMBC44109.2020.9175924"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1097\/00003446-198902000-00002","article-title":"Analysis of Auditory Evoked Potentials by Magnitude-Squared Coherence","volume":"10","author":"Dobie","year":"1989","journal-title":"Ear Hear."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/TAU.1967.1161901","article-title":"The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging Over Short, Modified Periodograms","volume":"15","author":"Welch","year":"1967","journal-title":"IEEE Trans. Audio Electroacoust."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1109\/TSMCB.2004.824147","article-title":"Edge Detection Revisited","volume":"34","author":"Pellegrino","year":"2004","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","article-title":"A Computational Approach To Edge Detection","volume":"PAMI-8","author":"Canny","year":"1986","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1007\/s11554-016-0582-2","article-title":"FPGA implementation of cost-effective robust Canny edge detection algorithm","volume":"16","author":"Damu","year":"2019","journal-title":"J. Real Time Image Process."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Akbarian, B., and Erfanian, A. (2017, January 25\u201328). Automatic detection of PTZ-induced seizures based on functional brain connectivity network in rats. Proceedings of the 2017 8th International IEEE\/EMBS Conference on Neural Engineering (NER), Shanghai, China.","DOI":"10.1109\/NER.2017.8008417"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.compbiomed.2018.05.019","article-title":"A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals","volume":"99","author":"Tsiouris","year":"2018","journal-title":"Comput. Biol. Med."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1111\/epi.16628","article-title":"Accurate detection of spontaneous seizures using a generalized linear model with external validation","volume":"61","author":"Fumeaux","year":"2020","journal-title":"Epilepsia"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Noertjahjani, S., Hidayat, R., Susanto, A., and Wibowo, S. (2017, January 9\u201311). Classification of epileptic and non-epileptic EEG events by feature selection f-score. Proceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation (ICA), Yogyakarta, Indonesia.","DOI":"10.1109\/ICA.2017.8068437"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"013108","DOI":"10.1063\/1.2137623","article-title":"Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction","volume":"16","author":"Schelter","year":"2006","journal-title":"Chaos Interdiscip. J. Nonlinear Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1007\/s13246-019-00806-w","article-title":"Optimal selection of SOP and SPH using fuzzy inference system for online epileptic seizure prediction based on EEG phase synchronization","volume":"42","author":"Alaei","year":"2019","journal-title":"Australas. Phys. Eng. Sci. Med."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"984802","DOI":"10.3389\/fncir.2022.984802","article-title":"GABAA signaling, focal epileptiform synchronization and epileptogenesis","volume":"16","author":"Avoli","year":"2022","journal-title":"Front. Neural Circuits"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Ma, M., Wei, X., Cheng, Y., Chen, Z., and Zhou, Y. (2021). Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network. BMC Med Inform. Decis. Mak., 21.","DOI":"10.1186\/s12911-021-01439-4"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1007\/s00247-017-3888-8","article-title":"Comparison of the diagnostic accuracy of PET\/MRI to PET\/CT-acquired FDG brain exams for seizure focus detection: A prospective study","volume":"47","author":"Paldino","year":"2017","journal-title":"Pediatr. Radiol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.seizure.2014.10.013","article-title":"How important is the seizure onset zone for seizure dynamics?","volume":"25","author":"Geier","year":"2015","journal-title":"Seizure"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.pneurobio.2014.06.004","article-title":"Functional brain connectivity from EEG in epilepsy: Seizure prediction and epileptogenic focus localization","volume":"121","author":"Papadopoulou","year":"2014","journal-title":"Prog. Neurobiol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.clinph.2022.07.003","article-title":"Sub-scalp electroencephalography: A next-generation technique to study human neurophysiology","volume":"141","author":"Haneef","year":"2022","journal-title":"Clin. Neurophysiol."}],"container-title":["Brain Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3425\/13\/1\/52\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:53:00Z","timestamp":1760147580000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3425\/13\/1\/52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,27]]},"references-count":51,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["brainsci13010052"],"URL":"https:\/\/doi.org\/10.3390\/brainsci13010052","relation":{},"ISSN":["2076-3425"],"issn-type":[{"value":"2076-3425","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,27]]}}}