Intra- and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients
Open accessAbstract
Focal onset epileptic seizures are highly heterogeneous in their clinical manifestations, and a robust seizure detection across patient cohorts has to date not been achieved. Here, we assess and discuss the potential of supervised machine learning models for the detection of focal onset motor seizures by means of a wrist-worn wearable device, both in a personalized context as well as across patients. Wearable data were recorded in-hospital from patients with epilepsy at two epilepsy centers. Accelerometry, electrodermal activity, and blood volume pulse data were processed and features for each of the biosignal modalities were calculated. Following a leave-one-out approach, a gradient tree boosting machine learning model was optimized and tested in an intra-subject and inter-subject evaluation. In total, 20 seizures from 9 patients were included and we report sensitivities of 67% to 100% and false alarm rates of down to 0.85 per 24 h in the individualized assessment. Conversely, for an inter-subject seizure detection methodology tested on an out-of-sample data set, an optimized model could only achieve a sensitivity of 75% at a false alarm rate of 13.4 per 24 h. We demonstrate that robustly detecting focal onset motor seizures with tonic or clonic movements from wearable data may be possible for individuals, depending on specific seizure manifestations.
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Ambulatory seizure monitoring using wearables is now within reach.
“Ambulatory seizure monitoring using wearables is now within reach1–7”
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Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731 · see citing works
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466 · see citing works
Gradient boosting machines, a tutorial
Natekin, A., & Knoll, A. (2013) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2013.00021 · Cited by 3,887 · see citing works
Fisher, R. S., Cross, J. H., French, J. A., Higurashi, N., Hirsch, E., Jansen, F. E., Lagae, L., Moshé, S. L., Peltola, J., Roulet Perez, E., et al. (2017) · Epilepsia · doi:10.1111/epi.13670 · Cited by 3,483 · see citing works
Recurrence Plots of Dynamical Systems
Eckmann, J., Kamphorst, S. O., & Ruelle, D. P. (1987) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/4/9/004 · Cited by 3,329 · see citing works
Boucsein, W. (2012) · doi:10.1007/978-1-4614-1126-0 · Cited by 2,526 · see citing works
Thijs, R. D., Surges, R., O'Brien, T. J., & Sander, J. W. A. S. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32596-0 · Cited by 2,203 · see citing works
Dynamical assessment of physiological systems and states using recurrence plot strategies
Webber, C. L., & Zbilut, J. P. (1994) · Journal of Applied Physiology · doi:10.1152/jappl.1994.76.2.965 · Cited by 1,429 · see citing works
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 · see citing works
Lemon, S. C., Roy, J., Clark, M. A., Friedmann, P. D., & Rakowski, W. (2003) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2603_02 · Cited by 878 · see citing works
Investigating sources of inaccuracy in wearable optical heart rate sensors
Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0226-6 · Cited by 673 · see citing works
Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review
Posada-Quintero, H. F., & Chon, K. H. (2020) · Sensors · doi:10.3390/s20020479 · Cited by 525 · see citing works
Hoppe, C., Poepel, A., & Elger, C. E. (2007) · Archives of Neurology · doi:10.1001/archneur.64.11.1595 · Cited by 486 · see citing works
An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals
Scholkmann, F., Boss, J. M., & Wolf, M. (2012) · Algorithms · doi:10.3390/a5040588 · Cited by 456 · see citing works
Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection
Elger, C. E., & Hoppe, C. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30038-3 · Cited by 403 · see citing works
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 · see citing works
Regalia, G., Onorati, F., Lai, M., Caborni, C., & Picard, R. W. (2019) · Epilepsy Research · doi:10.1016/j.eplepsyres.2019.02.007 · Cited by 240 · see citing works
Automated seizure detection systems and their effectiveness for each type of seizure
Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I. S., Pearl, P. L., & Loddenkemper, T. (2016) · Seizure · doi:10.1016/j.seizure.2016.06.008 · Cited by 233 · see citing works
Ranjan, Y., Rashid, Z., Stewart, C., Kerz, M., Begale, M. J., Verbeeck, D., Boettcher, S., Conde, P., Hyve, T., Dobson, R., et al. (2018) · JMIR mhealth and uhealth · doi:10.2196/11734 · Cited by 229 · see citing works
Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors
Onorati, F., Regalia, G., Caborni, C., Migliorini, M., Bender, D., Poh, M., Frazier, C., Kovitch Thropp, E., Mynatt, E. D., Bidwell, J., et al. (2017) · Epilepsia · doi:10.1111/epi.13899 · Cited by 212 · see citing works
Boon, P., Vonck, K. E. J., van Rijckevorsel, K., Tahry, R. E., Elger, C. E., Mullatti, N., Schulze‐Bonhage, A., Wagner, L., Diehl, B., Hamer, H. M., et al. (2015) · Seizure · doi:10.1016/j.seizure.2015.08.011 · Cited by 202 · see citing works
Self-citationAutomated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment
Vandecasteele, K., De Cooman, T., Gu, Y., Cleeren, E., Claes, K., Paesschen, W., Huffel, S., & Hunyadi, B. (2017) · Sensors · doi:10.3390/s17102338 · Cited by 174 · see citing works
Locke, D. E. C., Berry, D. T. R., Fakhoury, T. A., Cibula, J. E., & Schmitt, F. A. (2002) · Neuropsychology Review · doi:10.1023/a:1015491123070 · Cited by 172 · see citing works
Fisher, R. S., Afra, P., Macken, M. P., Minecan, D. N., Bagic, A. I., Benbadis, S. R., Helmers, S. L., Sinha, S. R., Slater, J. D., Treiman, D. M., et al. (2015) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.12376 · Cited by 156 · see citing works
Standards for testing and clinical validation of seizure detection devices
Beniczky, S., & Ryvlin, P. (2018) · Epilepsia · doi:10.1111/epi.14049 · Cited by 150 · see citing works
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic
Brinkmann, B. H., Karoly, P. J., Nurse, E. S., Dumanis, S. B., Nasseri, M., Viana, P. F., Schulze‐Bonhage, A., Freestone, D. R., Worrell, G. A., Richardson, M. P., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.690404 · Cited by 147 · see citing works
Self-citationBruno, E., Viana, P. F., Sperling, M. R., & Richardson, M. P. (2020) · Epilepsia · doi:10.1111/epi.16521 · Cited by 129 · see citing works
Self-citationMulti-Biosignal Analysis for Epileptic Seizure Monitoring
Cogan, D., Birjandtalab, J., Nourani, M., Harvey, J. H., & Nagaraddi, V. (2016) · International Journal of Neural Systems · doi:10.1142/s0129065716500313 · Cited by 124 · see citing works
Multimodal nocturnal seizure detection in a residential care setting
Arends, J. B. A. M., Thijs, R. D., Gutter, T., Ungureanu, C., Cluitmans, P. J. M., Dijk, J. V., van Andel, J. M., Tan, F. I. Y., de Weerd, A., Vledder, B., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000006545 · Cited by 124 · see citing works
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 · see citing works
Seizure detection based on heart rate variability using a wearable electrocardiography device
Jeppesen, J., Fuglsang‐Frederiksen, A., Johansen, P., Christensen, J., Wüstenhagen, S., Tankişi, H., Qerama, E., Heß, A., & Beniczky, S. (2019) · Epilepsia · doi:10.1111/epi.16343 · Cited by 116 · see citing works
Sarkis, R. A., Thomé-Souza, S., Poh, M., Llewellyn, N., Klehm, J., Madsen, J. R., Picard, R. W., Pennell, P. B., Dworetzky, B. A., Loddenkemper, T., et al. (2015) · Epilepsy Research · doi:10.1016/j.eplepsyres.2015.06.005 · Cited by 110 · see citing works
Automated Detection of Convulsive Seizures Using a Wearable Accelerometer Device
Kusmakar, S., Karmakar, C. K., Yan, B., O'Brien, T. J., Muthuganapathy, R., & Palaniswami, M. S. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2845865 · Cited by 101 · see citing works
Beniczky, S., Wiebe, S., Jeppesen, J., Tatum, W. O., Brázdil, M., Wang, Y., Herman, S. T., & Ryvlin, P. (2021) · Epilepsia · doi:10.1111/epi.16818 · Cited by 99 · see citing works
Signal quality and patient experience with wearable devices for epilepsy management
Nasseri, M., Nurse, E., Glasstetter, M., Böttcher, S., Gregg, N. M., Laks Nandakumar, A., Joseph, B., Pal Attia, T., Viana, P. F., Bruno, E., et al. (2020) · Epilepsia · doi:10.1111/epi.16527 · Cited by 90 · see citing works
Self-citationOnorati, F., Regalia, G., Caborni, C., LaFrance, W. C., Jr., Blum, A. S., Bidwell, J., Liso, P. D., Atrache, R. E., Loddenkemper, T., Mohammadpour, F., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.724904 · Cited by 86 · see citing works
Robust Single Accelerometer-Based Activity Recognition Using Modified Recurrence Plot
Lu, J., & Tong, R. K. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2911204 · Cited by 78 · see citing works
Patterson, A. L., Mudigoudar, B. D., Fulton, S. P., McGregor, A., Poppel, K. V., Wheless, M. C., Brooks, L., & Wheless, J. W. (2015) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2015.07.002 · Cited by 71 · see citing works
Großekathöfer, U., Manyakov, N. V., Mihajlović, V., Pandina, G., Skalkin, A., Ness, S. L., Bangerter, A., & Goodwin, M. S. (2017) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2017.00009 · Cited by 58 · see citing works
van Andel, J. M., Ungureanu, C., Arends, J. B. A. M., Tan, F. I. Y., Dijk, J. V., Petkov, G. H., Kalitzin, S., Gutter, T., de Weerd, A., Vledder, B., et al. (2017) · Epilepsia Open · doi:10.1002/epi4.12076 · Cited by 58 · see citing works
Simblett, S. K., Biondi, A., Bruno, E., Ballard, D., Stoneman, A., Lees, S., Richardson, M. P., & Wykes, T. (2019) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2019.106717 · Cited by 57 · see citing works
Self-citationVieluf, S., Amengual‐Gual, M., Zhang, B., El Atrache, R., Ufongene, C., Jackson, M. C., Branch, S., Reinsberger, C., & Loddenkemper, T. (2021) · Epilepsia · doi:10.1111/epi.16843 · Cited by 54 · see citing works
Towards a wearable multi-modal seizure detection system in epilepsy: A pilot study
Nielsen, J. M., Zibrandtsen, I. C., Masulli, P., Sørensen, T. L., Andersen, T., & Kjær, T. W. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.01.005 · Cited by 50 · see citing works
Heldberg, B. E., Kautz, T., Leutheuser, H., Hopfengärtner, R., Kasper, B. S., & Eskofier, B. M. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319660 · Cited by 42 · see citing works
Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning
Cooman, T. D., Vandecasteele, K., Varon, C., Hunyadi, B., Cleeren, E., Paesschen, W. V., & Huffel, S. V. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00145 · Cited by 42 · see citing works
Vieluf, S., Reinsberger, C., Atrache, R. E., Jackson, M. C., Schubach, S., Ufongene, C., Loddenkemper, T., & Meisel, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-68434-z · Cited by 42 · see citing works
Böttcher, S., Bruno, E., Manyakov, N. V., Epitashvili, N., Claes, K., Glasstetter, M., Thorpe, S., Lees, S., Dümpelmann, M., Van Laerhoven, K., et al. (2021) · JMIR mHealth and uHealth · doi:10.2196/27674 · Cited by 39 · see citing works
Self-citationEpileptic seizure semiology in different age groups
Vaca, G. F., Mayor, L. C., Losarcos, N. G., Park, J. T., & Lüders, H. O. (2018) · Epileptic Disorders · doi:10.1684/epd.2018.0970 · Cited by 38 · see citing works
Bruno, E., Böttcher, S., Viana, P. F., Amengual‐Gual, M., Joseph, B., Epitashvili, N., Dümpelmann, M., Glasstetter, M., Biondi, A., Van Laerhoven, K., et al. (2021) · Epilepsia · doi:10.1111/epi.17044 · Cited by 37 · see citing works
Self-citationNoninvasive detection of focal seizures in ambulatory patients
Ryvlin, P., Cammoun, L., Hubbard, I., Ravey, F., Beniczky, S., & Atienza, D. (2020) · Epilepsia · doi:10.1111/epi.16538 · Cited by 32 · see citing works
Using sEMG to identify seizure semiology of motor seizures
Baumgartner, C., Whitmire, L., Voyles, S. R., & Cardenas, D. (2020) · Seizure · doi:10.1016/j.seizure.2020.11.013 · Cited by 26 · see citing works
Seizure detection devices: Exploring caregivers’ needs and wishes
van Westrhenen, A., Souhoka, T., Ballieux, M. E., & Thijs, R. D. (2021) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2020.107723 · Cited by 23 · see citing works
Diagnostic yield and limitations of in‐hospital documentation in patients with epilepsy
Schulze‐Bonhage, A., Bruno, E., Brandt, A., Shek, A., Viana, P. F., Heers, M., Martinez‐Lizana, E., Altenmüller, D., Richardson, M. P., & Antonio‐Arce, V. S. (2022) · Epilepsia · doi:10.1111/epi.17307 · Cited by 22 · see citing works
Self-citationGlasstetter, M., Böttcher, S., Zabler, N., Epitashvili, N., Dümpelmann, M., Richardson, M. P., & Schulze-Bonhage, A. (2021) · Sensors · doi:10.3390/s21186017 · Cited by 21 · see citing works
Self-citationPost‐ictal accelerometer silence as a marker of post‐ictal immobility
Bruno, E., Böttcher, S., Biondi, A., Epitashvili, N., Manyakov, N. V., Lees, S., Schulze‐Bonhage, A., & Richardson, M. P. (2020) · Epilepsia · doi:10.1111/epi.16552 · Cited by 14 · see citing works
Self-citationBöttcher, S., Manyakov, N. V., Epitashvili, N., Folarin, A., Richardson, M. P., Dümpelmann, M., Schulze‐Bonhage, A., & Laerhoven, K. V. (2019) · International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) · doi:10.1145/3361684.3361687 · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
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Sorted by citations
Data quality evaluation in wearable monitoring
Böttcher, S., Vieluf, S., Bruno, E., Joseph, B., Epitashvili, N., Biondi, A., Zabler, N., Glasstetter, M., Dümpelmann, M., Van Laerhoven, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-25949-x · Cited by 91 · see citing works
Self-citationAnmella, G., Corponi, F., Li, B. M., Mas, A., Sanabra, M., Pacchiarotti, I., Valentí, M., Grande, I., Benabarre, A., Giménez‐Palomo, A., et al. (2023) · JMIR mhealth and uhealth · doi:10.2196/45405 · Cited by 35 · see citing works
Seth, E. A., Watterson, J., Xie, J., Arulsamy, A., Yusof, H. H. M., Ngadimon, I. W., Khoo, C. S., Kadirvelu, A., & Shaikh, M. F. (2023) · Epilepsia Open · doi:10.1002/epi4.12854 · Cited by 25 · see citing works
Seizure detection based on wearable devices: A review of device, mechanism, and algorithm
Li, W., Wang, G., Lei, X., Sheng, D., Yu, T., & Wang, G. (2022) · Acta Neurologica Scandinavica · doi:10.1111/ane.13716 · Cited by 21 · see citing works
Movement Disorders and Smart Wrist Devices: A Comprehensive Study
Caroppo, A., Manni, A., Rescio, G., Carluccio, A. M., Siciliano, P. A., & Leone, A. (2025) · Sensors · doi:10.3390/s25010266 · Cited by 22 · see citing works
Corponi, F., Li, B. M., Anmella, G., Mas, A., Pacchiarotti, I., Valentí, M., Grande, I., Benabarre, A., Garriga, M., Vieta, E., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02876-1 · Cited by 18 · see citing works
EEG Signals Based Internet Addiction Diagnosis Using Convolutional Neural Networks
Sun, S., Yang, J., Chen, Y.-H., Miao, J., & Sawan, M. (2022) · Applied Sciences · doi:10.3390/app12136297 · Cited by 15 · see citing works
Wearable Artificial Intelligence for Epilepsy: Scoping Review
Aziz, S., Ali, A., Aslam, H., Ain, N. U., Tariq, A., Sohail, Z., Murtaza, S., Mahmood, H. I., Wazeer, M. I., Murtaza, F., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/73593 · Cited by 12 · see citing works
Effects of epileptic seizures on the quality of biosignals recorded from wearables
Böttcher, S., Zabler, N., Jackson, M. C., Bruno, E., Biondi, A., Epitashvili, N., Vieluf, S., Dümpelmann, M., Richardson, M. P., Brinkmann, B. H., et al. (2024) · Epilepsia · doi:10.1111/epi.18138 · Cited by 11 · see citing works
Self-citationAfsari, K., Barachi, M. E., & Ritz, C. H. (2026) · Brain Sciences · doi:10.3390/brainsci16010119 · Cited by 7 · see citing works
Epileptic Seizure Detection Based on Attitude Angle Signal of Wearable Device
Wang, J., Hu, D., Lai, X., Jiang, T., Jiang, T., Gao, F., Vidal, P., & Cao, J. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3529058 · Cited by 4 · see citing works
Faust, L. J., Cui, J., Knepper, C., Nasseri, M., Worrell, G. A., & Brinkmann, B. H. (2025) · Sensors · doi:10.3390/s25175562 · Cited by 5 · see citing works
Ge, Y., Hu, D., Cui, X., Jiang, T., Gao, F., Jiang, T., Vidal, P., & Cao, J. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-8021-5_6 · Cited by 4 · see citing works
Detection of focal impaired awareness seizures using a biometric shirt
St‐Jean, J., Gharbi, O., Toffa, D. H., Tran, T. P. Y., Robert, M., Nguyen, D. K., & Assi, E. B. (2025) · Epilepsia Open · doi:10.1002/epi4.70099 · Cited by 3 · see citing works
Cho, J., Ko, Y. J., Chung, Y. G., Cho, A., & Kim, H. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1609838 · Cited by 3 · see citing works
The research progress of wearable digital health technologies in epilepsy management
Zhao, X., & Wang, T. (2026) · Acta Epileptologica · doi:10.1186/s42494-026-00247-5 · Cited by 2 · see citing works
Enhancing Seizure Detection Through Deep Learning-Based Wearable Devices
Raj, D., Jeevan, A. J., Rafeeque, R., Rhishitha, T. S., Akshay, S., & Merry, K. P. (2024) · International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S) · doi:10.1109/icic3s61846.2024.10603386 · Cited by 1 · see citing works
Mei, A., Fu, C., Liu, Z., Yang, Y., Wang, X., Wang, M., Wang, J., Han, Z., Bo, Y., Xu, K., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-02127-3 · Cited by 1 · see citing works
Mohamed, S., Shaikh, M. F., & Piaggio, D. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2026.1833080 · Cited by 1 · see citing works
Automated Classification of Epileptic Seizures from EEG Signals Using Deep Neural Network
Sree, V. V. V. B., & Maheswari, V. U. (2023) · International Conference on Next Generation Electronics (NELEX) · doi:10.1109/nelex59773.2023.10420893 · Cited by 1 · see citing works
Patient-specific long-term seizure prediction via multi-model classification
Balaji, S. S., Zhang, Z., Sha, Z., Henry, T. R., & Parhi, K. K. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae1875
Wearable seizure detection systems: Advancement, challenges, and future direction
Labeb, O. A., Ahmed, M. A., Salih, M. M., & T.Abdulwahhab, Z. (2026) · AIP conference proceedings · doi:10.1063/5.0328066
- Authors
- Böttcher, S., Bruno, E., Epitashvili, N., Dümpelmann, M., Zabler, N., Glasstetter, M., Ticcinelli, V., Thorpe, S., Lees, S., Van Laerhoven, K., Richardson, M. P., & Schulze-Bonhage, A.
- Affiliations
- University of Freiburg (DE)
- King's College London (GB)
- UCB Pharma (Belgium) (BE)
- Ubiquitous Computing, Department of Electrical Engineering and Computer Science, University of Siegen, 57076 Siegen, Germany
- Epilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, Germany
- Corresponding author
- Böttcher, Sebastian
- ORCID
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2022-04-26
- Volume
- 22
- Issue
- 9
- Pages
- 3318
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC9105312
- OpenAlex
- W4224944506
- Cited by
- 23
- References
- 56
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 4 · 2023: 4 · 2022: 3
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Innovative Medicines Initiative 2 (115902)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- seizure detection, epilepsy, wearable sensors, wrist-worn accelerometry, electrodermal activity, blood volume pulse, gradient boosting decision tree
- MeSH terms
- Wearable Electronic Devices, Electroencephalography, Epilepsy, Epilepsies, Partial, Humans, Seizures, Accelerometry
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 ›
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