The DOI matches its Crossref record; 149 of the 151 references it cites were found in a registry or an index.
Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy
Open accessAbstract
Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature computation and subsequent classification. Over the last few decades, methods have been developed to detect seizures utilizing scalp and intracranial EEG, electrocardiography, accelerometry and motion sensors, electrodermal activity, and audio/video captures. To date, it is unclear which combination of detection technologies yields the best results, and approaches may ultimately need to be individualized. This review presents an overview of seizure detection and related prediction methods and discusses their potential uses in closed-loop warning systems in epilepsy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“There is also a growing interest in using wearable devices to detect seizures in epilepsy [2].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [2]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Data Mining: Practical Machine Learning Tools and Techniques
Witten, I. H., Frank, E., & Hall, M. A. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,543
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Pattern Recognition and Machine Learning
(2006) · doi:10.1007/978-0-387-45528-0 · Cited by 9,824
Early Identification of Refractory Epilepsy
Kwan, P., & Brodie, M. J. (2000) · New England Journal of Medicine · doi:10.1056/nejm200002033420503 · Cited by 5,204
Incidence of Epilepsy and Unprovoked Seizures in Rochester, Minnesota: 1935–1984
Hauser, W. A., Annegers, J. F., & Kurland, L. T. (1993) · Epilepsia · doi:10.1111/j.1528-1157.1993.tb02586.x · Cited by 2,084
Responsive cortical stimulation for the treatment of medically intractable partial epilepsy
Morrell, M. J. (2011) · Neurology · doi:10.1212/wnl.0b013e3182302056 · Cited by 1,282
Cardiovascular effects of human insular cortex stimulation
Oppenheimer, S. M., Gelb, A., Girvin, J. P., & Hachinski, V. C. (1992) · Neurology · doi:10.1212/wnl.42.9.1727 · Cited by 1,272
High-performance genetically targetable optical neural silencing by light-driven proton pumps
Chow, B. Y., Han, X., Dobry, A. S., Qian, X., Chuong, A. S., Li, M., Henninger, M. A., Belfort, G. M., Lin, Y., Monahan, P. E., et al. (2010) · Nature · doi:10.1038/nature08652 · Cited by 1,188
Machine Learning: An Algorithmic Perspective
Marsland, S. (2009) · Cited by 1,075
Cook, M. J., O'Brien, T. J., Berkovic, S. F., Murphy, M. A., Morokoff, A. P., Fabinyi, G., D'Souza, W. J., Yerra, R., Archer, J. S., Litewka, L., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70075-9 · Cited by 881
A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity
Poh, M.-Z., Swenson, N. C., & Picard, R. W. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2038487 · Cited by 693
Epileptic Seizures May Begin Hours in Advance of Clinical Onset
Litt, B., Esteller, R., Echauz, J., D’Alessandro, M., Shor, R., Henry, T. R., Pennell, P. B., Epstein, C. M., Bakay, R. A. E., Dichter, M. A., et al. (2001) · Neuron · doi:10.1016/s0896-6273(01)00262-8 · Cited by 643
On-demand optogenetic control of spontaneous seizures in temporal lobe epilepsy
Krook-Magnuson, E. I., Armstrong, C., Oijala, M., & Soltész, I. (2013) · Nature Communications · doi:10.1038/ncomms2376 · Cited by 638
A Primer on Wavelets and Their Scientific Applications
Walker, J. S. (2010) · CRC Press eBooks · doi:10.1201/9781420050011 · Cited by 526
Murray, D. M., Boylan, G. B., Ali, I., Ryan, C. A., Murphy, B. P., & Connolly, S. (2007) · Archives of Disease in Childhood Fetal & Neonatal · doi:10.1136/adc.2005.086314 · Cited by 455
Classification of patterns of EEG synchronization for seizure prediction
Mirowski, P., Madhavan, D., LeCun, Y., & Kuzniecky, R. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.09.002 · Cited by 380
EEG-based neonatal seizure detection with Support Vector Machines
Temko, A., Thomas, E., Marnane, W., Lightbody, G., & Boylan, G. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.06.034 · Cited by 339
Wavelet based automatic seizure detection in intracerebral electroencephalogram
Khan, Y. U., & Gotman, J. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00035-x · Cited by 318
Electrocardiographic Changes at the Onset of Epileptic Seizures
Leutmezer, F., Schernthaner, C., Lurger, S., Pötzelberger, K., & Baumgartner, C. (2003) · Epilepsia · doi:10.1046/j.1528-1157.2003.34702.x · Cited by 314
Seizure diaries for clinical research and practice: Limitations and future prospects
Fisher, R. S., Blum, D. E., DiVentura, B. D., Vannest, J. J., Hixson, J., Moss, R., Herman, S. T., Fureman, B. E., & French, J. A. (2012) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.04.128 · Cited by 303
Predictability analysis of absence seizures with permutation entropy
Li, X., Ouyang, G., & Richards, D. A. (2007) · Epilepsy Research · doi:10.1016/j.eplepsyres.2007.08.002 · Cited by 293
Automatic Seizure Detection Using Wavelet Transform and SVM in Long-Term Intracranial EEG
Liu, Y., Zhou, W., Yuan, Q., & Chen, S. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2206054 · Cited by 291
A system to detect the onset of epileptic seizures in scalp EEG
Saab, M., & Gotman, J. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.08.004 · Cited by 283
Blum, D. E., Eskola, J., Bortz, J. J., & Fisher, R. S. (1996) · Neurology · doi:10.1212/wnl.47.1.260 · Cited by 281
Convulsive seizure detection using a wrist‐worn electrodermal activity and accelerometry biosensor
Poh, M., Loddenkemper, T., Reinsberger, C., Swenson, N. C., Goyal, S., Sabtala, M. C., Madsen, J. R., & Picard, R. W. (2012) · Epilepsia · doi:10.1111/j.1528-1167.2012.03444.x · Cited by 272
Self-citationRecurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG
Petrosian, A. A., Prokhorov, D. V., Homan, R. W., Dasheiff, R. M., & Wunsch, D. C. (2000) · Neurocomputing · doi:10.1016/s0925-2312(99)00126-5 · Cited by 269
Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines
Chisci, L., Mavino, A., Perferi, G., Sciandrone, M., Anile, C., Colicchio, G., & Fuggetta, F. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2038990 · Cited by 255
Georgiadis, D., Schwarz, S., Kollmar, R., & Schwab, S. (2001) · Stroke · doi:10.1161/hs1101.097382 · Cited by 254
Clancy, R. R., Legido, A., & Lewis, D. W. (1988) · Epilepsia · doi:10.1111/j.1528-1157.1988.tb03715.x · Cited by 251
Kumar, P., Lee, S.-G., & Lee, H. J. (2012) · Sensors · doi:10.3390/s120201625 · Cited by 249
Autonomic changes with seizures correlate with postictal EEG suppression
Poh, M., Loddenkemper, T., Reinsberger, C., Swenson, N. C., Goyal, S., Madsen, J. R., & Picard, R. W. (2012) · Neurology · doi:10.1212/wnl.0b013e318258f7f1 · Cited by 242
Self-citationHeart rate and EKG changes in 102 seizures: analysis of influencing factors
Opherk, C., Coromilas, J., & Hirsch, L. J. (2002) · Epilepsy Research · doi:10.1016/s0920-1211(02)00215-2 · Cited by 237
Beniczky, S., Polster, T., Kjaer, T. W., & Hjalgrim, H. (2013) · Epilepsia · doi:10.1111/epi.12120 · Cited by 230
A Primer on Wavelets and Their Scientific Applications
Walker, J. S. (2008) · Chapman & Hall/CRC eBooks · doi:10.1201/9781584887461 · Cited by 213
AUTOMATIC DETECTION OF EPILEPTIC EEG SIGNALS USING HIGHER ORDER CUMULANT FEATURES
Acharya, U. R., Sree, S. V., & Suri, J. S. (2011) · International Journal of Neural Systems · doi:10.1142/s0129065711002912 · Cited by 197
Jansen, K., & Lagae, L. G. (2010) · Seizure · doi:10.1016/j.seizure.2010.07.008 · Cited by 195
Detection of seizure-like movements using a wrist accelerometer
Lockman, J., Fisher, R. S., & Olson, D. M. (2011) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2011.01.019 · Cited by 195
Incidence and prevalence of epilepsy in Denmark
Christensen, J., Vestergaard, M., Pedersen, M. G., Pedersen, C. B., Olsen, J., & Sidenius, P. (2007) · Epilepsy Research · doi:10.1016/j.eplepsyres.2007.06.012 · Cited by 175
Automatic seizure detection in EEG using logistic regression and artificial neural network
Alkan, A., Köklükaya, E., & Subaşı, A. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.04.009 · Cited by 169
Views of patients with epilepsy on seizure prediction devices
Schulze‐Bonhage, A., Sales, F., Wagner, K., Teotónio, R., Carius, A., Schelle, A., & Ihle, M. (2010) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2010.05.008 · Cited by 155
Aarabi, A., Wallois, F., & Grebe, R. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.10.006 · Cited by 145
Detection of Seizure Activity in EEG by an Artificial Neural Network: A Preliminary Study
Pradhan, N., Puthusserypady, S. K., & Arunodaya, G. R. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0022 · Cited by 143
Continuous monitoring of electrodermal activity during epileptic seizures using a wearable sensor
Poh, M., Loddenkemper, T., Swenson, N. C., Goyal, S., Madsen, J. R., & Picard, R. W. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5625988 · Cited by 142
Self-citationSeizure detection: evaluation of the Reveal algorithm
Wilson, S. B., Scheuer, M. L., Emerson, R. G., & Gabor, A. J. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.05.018 · Cited by 141
Nijsen, T. M. E., Arends, J. B. A. M., Griep, P. A. M., & Cluitmans, P. J. M. (2005) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2005.04.011 · Cited by 139
Predicting Adverse Drug Events Using Pharmacological Network Models
Cami, A., Arnold, A. D., Manzi, S. F., & Reis, B. Y. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002774 · Cited by 135
Nagai, Y., Goldstein, L. H., Fenwick, P. B. C., & Trimble, M. (2004) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2003.12.003 · Cited by 128
A Novel Portable Seizure Detection Alarm System: Preliminary Results
Kramer, U., Kipervasser, S., Shlitner, A., & Kuzniecky, R. (2011) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e3182051320 · Cited by 122
Performance Reassessment of a Real‐time Seizure‐detection Algorithm on Long ECoG Series
Osorio, I., Frei, M. G., Giftakis, J., Peters, T. F., Ingram, J., Turnbull, M., Herzog, M., Rise, M. T., Schaffner, S., Wennberg, R. A., et al. (2002) · Epilepsia · doi:10.1046/j.1528-1157.2002.11102.x · Cited by 122
An approach to seizure detection using an artificial neural network (ANN)
Webber, W. R., Lesser, R. P., Richardson, R. T., & Wilson, K. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00277-4 · Cited by 121
A model of heart rate changes to detect seizures in severe epilepsy
van Elmpt, W., Nijsen, T. M. E., Griep, P. A. M., & Arends, J. B. A. M. (2006) · Seizure · doi:10.1016/j.seizure.2006.03.005 · Cited by 117
Analysis of epileptic EEG signals using higher order spectra
Chua, K. C., Chandran, V., Acharya, U. R., & Lim, C. M. (2009) · Journal of Medical Engineering & Technology · doi:10.1080/03091900701559408 · Cited by 116
Toward patient safety in closed-loop medical device systems
Arney, D. E., Pajić, M., Goldman, J. M., Lee, I., Mangharam, R., & Sokolsky, O. V. (2010) · ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) · doi:10.1145/1795194.1795214 · Cited by 114
Gabor, A. J. (1998) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(98)00043-1 · Cited by 112
Combination of EEG and ECG for improved automatic neonatal seizure detection
Greene, B. R., Boylan, G. B., Reilly, R. B., de Chazal, P., & Connolly, S. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.02.015 · Cited by 111
Xie, S., & Krishnan, S. (2012) · Medical and Biological Engineering and Computing · doi:10.1007/s11517-012-0967-8 · Cited by 111
Focus Diagnosis of Epilepsy Using Near‐Infrared Spectroscopy
Watanabe, E., Nagahori, Y., & Mayanagi, Y. (2002) · Epilepsia · doi:10.1046/j.1528-1157.43.s.9.12.x · Cited by 109
Proceedings: Epileptic seizure prediction.
Ss, V., & Walsh, G. O. (1975) · PubMed · Cited by 103
EPILAB: A software package for studies on the prediction of epileptic seizures
Teixeira, C., Direito, B., Feldwisch‐Drentrup, H., Valderrama, M., Costa, R. P., Alvarado‐Rojas, C., Nikolopoulos, S., Quyen, M. L. V., Timmer, J., Schelter, B. O., et al. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.07.002 · Cited by 95
CAMFIELD, P. R., & Camfield, C. (2010) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2010.02.014 · Cited by 93
An algorithm for seizure onset detection using intracranial EEG
Kharbouch, A. A., Shoeb, A. H., Guttag, J. V., & Cash, S. S. (2011) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2011.08.031 · Cited by 92
Significant postictal hypotension: Expanding the spectrum of seizure‐induced autonomic dysregulation
Bozorgi, A., Chung, S. T., Kaffashi, F., Loparo, K. A., Sahoo, S. S., Zhang, G., Kaiboriboon, K., & Lhatoo, S. D. (2013) · Epilepsia · doi:10.1111/epi.12251 · Cited by 90
A multi-feature and multi-channel univariate selection process for seizure prediction
D’Alessandro, M., Vachtsevanos, G., Esteller, R., Echauz, J., Cranstoun, S. D., Worrell, G. A., Parish, L. M., & Litt, B. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.11.014 · Cited by 88
Seizure anticipation in pediatric epilepsy: use of kolmogorov entropy
van Drongelen, W., Nayak, S., Frim, D. M., Kohrman, M. H., Towle, V. L., Lee, H. C., McGee, A. B., Chico, M., & Hecox, K. E. (2003) · Pediatric Neurology · doi:10.1016/s0887-8994(03)00145-0 · Cited by 88
Shoeb, A. H., Pang, T. D., Guttag, J. V., & Schachter, S. C. (2009) · International Journal of Neural Systems · doi:10.1142/s0129065709001938 · Cited by 88
Self-citationTime-Frequency Analysis of Accelerometry Data for Detection of Myoclonic Seizures
Nijsen, T. M. E., Aarts, R. M., Cluitmans, P. J. M., & Griep, P. A. M. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2058123 · Cited by 85
Narechania, A., Garic, I., Sen‐Gupta, I., Macken, M. P., Gerard, E. E., & Schuele, S. (2013) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2013.04.017 · Cited by 81
Movement quantification in epileptic seizures: a new approach to video-EEG analysis
Li, Z., da Silva, A. M., & Cunha, J. P. S. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.1001971 · Cited by 81
Miniaturized wireless ECG monitor for real-time detection of epileptic seizures
Massé, F., van Bussel, M., Serteyn, A., Arends, J. B. A. M., & Penders, J. (2013) · ACM Transactions on Embedded Computing Systems · doi:10.1145/2485984.2485990 · Cited by 80
Ictal heart rate increase precedes EEG discharge in drug-resistant mesial temporal lobe seizures
Gennaro, G. D., Quarato, P. P., Sebastiano, F., Esposito, V., Onorati, P., Grammaldo, L. G., Meldolesi, G., Mascia, A., Falco, C. D., Scoppetta, C., et al. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.12.016 · Cited by 80
Wearable sensors: Opportunities and challenges for low-cost health care
Fletcher, R., Poh, M., & Eydgahi, H. (2010) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2010.5626734 · Cited by 79
Vision-based motion detection, analysis and recognition of epileptic seizures—A systematic review
Pediaditis, M., Tsiknakis, M., & Leitgeb, N. (2012) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2012.08.005 · Cited by 76
Automated seizure onset detection for accurate onset time determination in intracranial EEG
Chan, A. M., Sun, F. T., Boto, E. H., & Wingeier, B. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.08.025 · Cited by 75
Altenmüller, D., Zehender, M., & Schulze‐Bonhage, A. (2004) · Epilepsia · doi:10.1111/j.0013-9580.2004.34403.x · Cited by 72
Automatic identification of epileptic electroencephalography signals using higher-order spectra
Chua, K. C., Chandran, V., Acharya, U. R., & Lim, C. M. (2009) · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · doi:10.1243/09544119jeim484 · Cited by 71
A Fuzzy Logic System for Seizure Onset Detection in Intracranial EEG
Rabbi, A. F., & Fazel-Rezai, R. (2012) · Computational Intelligence and Neuroscience · doi:10.1155/2012/705140 · Cited by 71
Seizure Prediction and its Applications
Iasemidis, L. D. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2011.07.004 · Cited by 69
A tunable support vector machine assembly classifier for epileptic seizure detection
Tang, Y., & Durand, D. M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.08.088 · Cited by 68
Automated detection of videotaped neonatal seizures based on motion segmentation methods
Karayiannis, N. B., Tao, G., Frost, J. D., Wise, M. S., Hrachovy, R. A., & Mizrahi, E. M. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.12.030 · Cited by 68
Seizure prediction using cost-sensitive support vector machine
Netoff, T. I., Park, Y., & Parhi, K. K. (2009) · doi:10.1109/iembs.2009.5333711 · Cited by 68
Effect of trained Seizure Alert Dogs on frequency of tonic–clonic seizures
Strong, V., Brown, S., Huyton, M., & Coyle, H. (2002) · Seizure · doi:10.1053/seiz.2001.0656 · Cited by 67
Aydın, S., Dağ, E., Özkan, Y., Arslan, Ö., Koç, G., Bek, S., Kırbaş, S., KAŞIKCI, M. T., Abaslı, D., Gökçil, Z., et al. (2011) · Peptides · doi:10.1016/j.peptides.2011.04.021 · Cited by 66
Rapid Cooling Aborts Seizure‐Like Activity in Rodent Hippocampal‐Entorhinal Slices
Hill, M. W., Wong, M., Amarakone, A., & Rothman, S. M. (2000) · Epilepsia · doi:10.1111/j.1528-1157.2000.tb04601.x · Cited by 66
Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery
Bosl, W. J. (2007) · BMC Systems Biology · doi:10.1186/1752-0509-1-13 · Cited by 65
Self-citationDevelopment of a Body Sensor Network to Detect Motor Patterns of Epileptic Seizures
Dalton, A. F., Patel, S., Chowdhury, A. R., Welsh, M., Pang, T., Schachter, S. C., OLaighin, G. M., & Bonato, P. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2204990 · Cited by 65
Self-citationDetecting nocturnal convulsions: Efficacy of the MP5 monitor
Carlson, C., Arnedo, V., Cahill, M., & Devinsky, O. (2008) · Seizure · doi:10.1016/j.seizure.2008.08.007 · Cited by 63
Entropy changes in brain function
Rosso, O. A. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2006.07.010 · Cited by 63
Newborn Seizure Detection Based on Heart Rate Variability
Malarvili, M. B., & Mesbah, M. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2026908 · Cited by 63
Seizure-alert dogs — fact or fiction?
Strong, V., Brown, S., & Walker, R. L. (1999) · Seizure · doi:10.1053/seiz.1998.0250 · Cited by 61
Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection
Conradsen, I., Beniczky, S., Wolf, P. S., Jennum, P., & Sørensen, H. B. D. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346361 · Cited by 57
Long-term home monitoring of hypermotor seizures by patient-worn accelerometers
de Vel, A. V., Cuppens, K., Bonroy, B., Milošević, M., Huffel, S. V., Vanrumste, B., Lagae, L., & Ceulemans, B. (2012) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.10.006 · Cited by 56
Electrical probing of cortical excitability in patients with epilepsy
Freestone, D. R., Kuhlmann, L., Grayden, D. B., Burkitt, A. N., Lai, A., Nelson, T. S., Vogrin, S. J., Murphy, M. A., D'Souza, W. J., Badawy, R. A. B., et al. (2011) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2011.09.005 · Cited by 55
Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis
Lu, H., Pan, Y., Mandal, B., Eng, H., Guan, C., & Chan, D. W. S. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2228649 · Cited by 54
Modeling epileptic brain states using EEG spectral analysis and topographic mapping
Direito, B., Teixeira, C., Ribeiro, B., Castelo-Branco, M. S., Sales, F., & Dourado, A. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.07.006 · Cited by 54
Electrocardiogram Based Neonatal Seizure Detection
Greene, B. R., de Chazal, P., Boylan, G. B., Connolly, S., & Reilly, R. B. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.890137 · Cited by 54
Heart rate based automatic seizure detection in the newborn
Doyle, O., Temko, A., Marnane, W. P., Lightbody, G., & Boylan, G. B. (2010) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2010.05.010 · Cited by 54
Conradsen, I., Beniczky, S., Wolf, P., Kjær, T. W., Sams, T., & Sørensen, H. B. D. (2011) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2011.06.005 · Cited by 53
Weil, S., Arnold, S., Eisensehr, I., & Noachtar, S. (2005) · Epileptic Disorders · doi:10.1684/j.1950-6945.2005.tb00122.x · Cited by 53
Cuppens, K., Lagae, L., Ceulemans, B., Huffel, S. V., & Vanrumste, B. (2010) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-010-0648-4 · Cited by 52
Bayly, J., Carino, J., Petrovski, S., Smit, M., Fernando, D. A., Vinton, A., Yan, B., Gubbi, J. R., Palaniswami, M. S., & O'Brien, T. J. (2013) · Epilepsia · doi:10.1111/epi.12207 · Cited by 50
Detection of Subtle Nocturnal Motor Activity From 3-D Accelerometry Recordings in Epilepsy Patients
Nijsen, T. M. E., Cluitmans, P. J. M., Arends, J. B. A. M., & Griep, P. A. M. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.895114 · Cited by 50
Jeppesen, J., Beniczky, S., Fuglsang‐Frederiksen, A., Sidenius, P., & Jasemian, Y. (2010) · Technology and Health Care · doi:10.3233/thc-2010-0606 · Cited by 49
Cuppens, K., Lagae, L. G., Ceulemans, B., Huffel, S. V., & Vanrumste, B. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5332557 · Cited by 49
Developing prosthetics to treat cognitive disabilities resulting from acquired brain injuries
Schiff, N. D., Plum, F., & Rezai, A. R. (2002) · Neurological Research · doi:10.1179/016164102101199576 · Cited by 47
Diurnal pattern of seizures outside the hospital
Pavlova, M. K., Lee, J. W., Yilmaz, F., & Dworetzky, B. A. (2012) · Neurology · doi:10.1212/wnl.0b013e3182553c23 · Cited by 47
Prospective Study of 2 Bed Alarms for Detection of Nocturnal Seizures
Fulton, S. P., Poppel, K. V., McGregor, A., Ellis, M., Patters, A. B., & Wheless, J. W. (2012) · Journal of Child Neurology · doi:10.1177/0883073812462064 · Cited by 47
Can seizure-alert dogs predict seizures?
Brown, S., & Goldstein, L. H. (2011) · Epilepsy Research · doi:10.1016/j.eplepsyres.2011.10.019 · Cited by 46
Area Disease Estimation Based on Sentinel Hospital Records
Wang, J., Reis, B. Y., Hu, M.-G., Christakos, G., Yang, W., Sun, Q., Li, Z., Li, X., Lai, S., Chen, H., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023428 · Cited by 44
Using spatio-temporal interest points (STIP) for myoclonic jerk detection in nocturnal video
Cuppens, K., Chen, C., Wong, K. B.-Y., de Vel, A. V., Lagae, L., Ceulemans, B., Tuytelaars, T., Huffel, S. V., Vanrumste, B., & Aghajan, H. K. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346955 · Cited by 44
Burioka, N., Cornélissen, G., Maegaki, Y., Franz Halberg, A., Kaplan, D. T., Miyata, M., Fukuoka, Y., Endo, M., Suyama, H., Tomita, Y., et al. (2005) · Clinical EEG and Neuroscience · doi:10.1177/155005940503600309 · Cited by 42
Closed-loop seizure control on epileptic rat models
Liang, S., Liao, Y.-C., Shaw, F.-Z., Chang, D.-W., Young, C.-P., & Chiueh, H. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/045001 · Cited by 41
A simplified circuit for stimulus artifact suppression
Roby, R. J., & Lettich, E. (1975) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(75)90130-3 · Cited by 37
Impact of Fatigue on Neurophysiologic Measures of Surgical Residents
Kahol, K., Smith, M., Brandenberger, J., Ashby, A., & Ferrara, J. J. (2011) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2011.03.028 · Cited by 36
Generic single-channel detection of absence seizures
Petersen, E. B., Duun‐Henriksen, J., Mazzaretto, A., Kjær, T. W., Thomsen, C. E., & Sørensen, H. B. D. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091194 · Cited by 36
Circadian patterns of generalized tonic–clonic evolutions in pediatric epilepsy patients
Ramgopal, S., Vendrame, M., Shah, A., Gregas, M., Żarowski, M., Rotenberg, A., Alexopoulos, A. V., Wyllie, E., Kothare, S. V., & Loddenkemper, T. (2012) · Seizure · doi:10.1016/j.seizure.2012.05.011 · Cited by 35
Self-citationWilson, S. B. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.04.025 · Cited by 35
“Seizure-alert dogs”: Observations from an inpatient video/EEG unit
ortiz, R. V., & Liporace, J. D. (2005) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2005.02.012 · Cited by 34
Conradsen, I., Beniczky, S., Wolf, P. S., Henriksen, J. H., Sams, T., & Sørensen, H. B. D. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627218 · Cited by 34
Miniaturized wireless ECG-monitor for real-time detection of epileptic seizures
Massé, F., Penders, J., Serteyn, A., van Bussel, M., & Arends, J. B. A. M. (2010) · Wireless Health · doi:10.1145/1921081.1921095 · Cited by 33
Dycke, A. V., Raedt, R., Dauwe, I., Sante, T., Wyckhuys, T., Meurs, A., Vonck, K. E. J., Wadman, W. J., & Boon, P. (2010) · Epilepsia · doi:10.1111/j.1528-1167.2010.02700.x · Cited by 32
Fuzzy Logic and Control: Principal Approach and Potential Applications in Medicine
Rau, G., Becker, K., Kaufmann, R., & Zimmermann, H. (1995) · Artificial Organs · doi:10.1111/j.1525-1594.1995.tb02255.x · Cited by 31
Algorithm for AEEG data selection leading to wireless and long term epilepsy monitoring
Casson, A. J., Yates, D. C., Patel, S., & Rodriguez–Villegas, E. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352825 · Cited by 31
Diurnal and sleep/wake patterns of epileptic spasms in different age groups
Ramgopal, S., Shah, A., Żarowski, M., Vendrame, M., Gregas, M. C., Alexopoulos, A. V., Loddenkemper, T., & Kothare, S. V. (2012) · Epilepsia · doi:10.1111/j.1528-1167.2012.03499.x · Cited by 28
Self-citationAutomatic epileptic seizure onset detection using Matching Pursuit: A case study
Sørensen, T., Olsen, U. L., Conradsen, I., Henriksen, J. H., Kjær, T. W., Thomsen, C. E., & Sørensen, H. B. D. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627265 · Cited by 28
Continuous assessment of epileptic seizures with wrist-worn biosensors
Poh, M. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 27
Closed-Loop Strategies for Patient Care Systems
Pauldine, R. W., Beck, G., Salinas, J., & Kaczka, D. W. (2008) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e31816bce43 · Cited by 27
Early detection of behavioral side effects of antiepileptic treatment using handheld computers
Frings, L., Wagner, K., Maiwald, T., Carius, A., Schinkel, A., Lehmann, C., & Schulze‐Bonhage, A. (2008) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2008.04.022 · Cited by 26
Bradycardia induced from stimulation of the left versus right central nucleus of the amygdala
Healy, B., & Peck, J. H. (1997) · Epilepsy Research · doi:10.1016/s0920-1211(97)00035-1 · Cited by 26
Detection of Epileptic Seizures Through Audio Classification
de Bruijne, G., Sommen, P. P., & Aarts, R. M. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-89208-3_344 · Cited by 25
Fuzzy rule-based seizure prediction based on correlation dimension changes in intracranial EEG
Rabbi, A. F., Aarabi, A., & Fazel-Rezai, R. (2010) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2010.5627247 · Cited by 22
Automated Detection of Videotaped Neonatal Seizures Based on Motion Tracking Methods
Karayiannis, N. B., Xiong, Y., Frost, J. D., Wise, M. S., Hrachovy, R. A., & Mizrahi, E. M. (2006) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200612000-00004 · Cited by 20
Eberle, M. M., Reynolds, C. L., Szu, J. I., Wang, Y., Hansen, A. M., Hsu, M. S., Islam, M. S., Binder, D. K., & Park, B. H. (2012) · Biomedical Optics Express · doi:10.1364/boe.3.002700 · Cited by 20
Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems
Sztipanovits, J., & Rajkumar, R. (2010) · doi:10.1145/1795194 · Cited by 20
Comparison of Seizure Detection Algorithms in Continuously Monitored Pediatric Patients
Lee, H. C., van Drongelen, W., McGee, A. B., Frim, D. M., & Kohrman, M. H. (2007) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e318033715b · Cited by 19
Optical suppression of experimental seizures in rat brain slices
Yang, X., Schmidt, B. F., Rode, D. L., & Rothman, S. M. (2009) · Epilepsia · doi:10.1111/j.1528-1167.2009.02252.x · Cited by 18
Responsive Neurostimulation for the Treatment of Epilepsy
Gigante, P. R., & Goodman, R. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2011.07.003 · Cited by 18
Use of population health data to refine diagnostic decision-making for pertussis
Fine, A. M., Reis, B. Y., Nigrovic, L. E., Goldmann, D. A., LaPorte, T. N., Olson, K. L., & Mandl, K. D. (2010) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3061 · Cited by 17
Feldwisch‐Drentrup, H., Schulze‐Bonhage, A., Timmer, J., & Schelter, B. O. (2011) · Physical Review E · doi:10.1103/physreve.83.066704 · Cited by 16
A positron named Priscilla: scientific discovery at the frontier
(1994) · Choice Reviews Online · doi:10.5860/choice.32-2089 · Cited by 15
Model for arm movements during myoclonic seizures
Nijsen, T. M. E., Aarts, R. M., Arends, J. B. A. M., & Cluitmans, P. J. M. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352607 · Cited by 13
Syncope and Ictal Asystole Caused by Temporal Lobe Epilepsy
Kohno, R., Abe, H., Akamatsu, N., Oginosawa, Y., Tamura, M., Takeuchi, M., & Otsuji, Y. (2011) · Circulation Journal · doi:10.1253/circj.cj-11-0261 · Cited by 12
Ambulatory Autonomic Activity Monitoring Among At-Risk Adolescent Mothers
Rajan, S., Leonard, N. R., Fletcher, R., Casarjian, B., Casarjian, R., Cisse, C., & Gwadz, M. V. (2012) · Journal of Mobile Technology in Medicine · doi:10.7309/jmtm.19 · Cited by 11
Air brain – the easy telemetric system with smartphone for EEG signal and human behavior
Shuta, A., & Kudoh, S. N. (2013) · International Conference on Body Area Networks · doi:10.4108/icst.bodynets.2013.253918 · Cited by 8
Toward a probabilistic definition of seizures
Osorio, I., Lyubushin, A. A., & Sornette, D. (2011) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2011.09.009 · Cited by 7
Harvard—MIT Division of Health Sciences and Technology
Burns-Hernandez, L. U., & Greenberg, J. E. (2011) · IEEE Pulse · doi:10.1109/mpul.2011.941718 · Cited by 7
Closed‐loop stimulation: The future of surgical therapy of brain disorders?
Boraud, T. (2012) · Movement Disorders · doi:10.1002/mds.24884 · Cited by 5
Proceedings: A simplified circuit for stimulus artifact suppression.
Rj, R., & Lettich, E. (1975) · PubMed · Cited by 5
Sparse approximation of long-term biomedical signals for classification via dynamic PCA
Xie, S., Jin, F., & Krishnan, S. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2011.6091811 · Cited by 4
Detection of epileptic seizures through audio classification
Bruijne, D., Sommen, P. P., & Aarts, R. R. (2008) · TU/e Research Portal · Cited by 1
Flagged first, then by citations
2 of the 151 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Direito, 2012, Modeling epileptic brain states using EEG spectral analysis and topographic mapping, J Neurosci Methods, 210, 220, 10.1016/j.jneumeth.2012.07.006 · DOI
- Beniczky, 2013, Detection of generalized tonic–clonic seizures by a wireless wrist accelerometer: a prospective, multicenter study, Epilepsia, 54, e58, 10.1111/epi.12120 · DOI · Paper page
Cited by
Sorted by citations
Devinsky, O., Vezzani, A., O'Brien, T. J., Jetté, N., Scheffer, I. E., de Curtis, M., & Perucca, P. (2018) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2018.24 · Cited by 998
Tsiouris, Κ. Μ., Pezoulas, V. C., Zervakis, M. E., Konitsiotis, S., Koutsouris, D., & Fotiadis, D. I. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.019 · Cited by 665
The temple university hospital EEG data corpus
Obeid, I., & Picone, J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00196 · Cited by 528
Seizure prediction – ready for a new era
Kuhlmann, L., Lehnertz, K., Richardson, M. P., Schelter, B., & Zaveri, H. P. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0055-2 · Cited by 450
A review of epileptic seizure detection using machine learning classifiers
Siddiqui, M. K., Morales-Menéndez, R., Huang, X., & Hussain, N. (2020) · Brain Informatics · doi:10.1186/s40708-020-00105-1 · Cited by 488
Metadata
- Authors
- Ramgopal, S., Thome-Souza, S., Jackson, M., Kadish, N. E., Sánchez Fernández, I., Klehm, J., Bosl, W., Reinsberger, C., Schachter, S., & Loddenkemper, T.
- Affiliations
- Boston Children's Hospital (US)
- University of San Francisco (US)
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Corresponding author
- Loddenkemper, Tobias
- ORCID
- Venue
- Epilepsy & Behavior
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 37
- Pages
- 291-307
- ISSN
- 1525-5050 (ISSN-L)
- OpenAlex
- W2133082272
- Cited by
- 469
- References
- 151
- Citations by year
- 2026: 18 · 2025: 19 · 2024: 30 · 2023: 17 · 2022: 25 · 2021: 55 · 2020: 53 · 2019: 52 · 2018: 72 · 2017: 50 · 2016: 43 · 2015: 32 · 2014: 2
- FWCI
- 23.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Epilepsy & Behavior (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- USF Scholarship Repository (University of San Francisco) (submittedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Clinical Neurology › Epilepsy research and treatment
- Physical Sciences › Computer Science › Artificial Intelligence › Seismology and Earthquake Studies
- Keywords
- epilepsy, seizure detection, seizure prediction, automated seizure detection, intracranial EEG, scalp EEG, accelerometry, electrodermal activity, SUDEP prevention, accident prevention, feature extraction, machine learning classifiers
- MeSH terms
- Adolescent, Algorithms, Child, Child, Preschool, Electrocardiography, Electroencephalography, Epilepsy, Humans, Markov Chains, Motion, Predictive Value of Tests, Scalp, Seizures, Sensitivity and Specificity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review