Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

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Zibrandtsen, I., Kidmose, P., Otto, M., Ibsen, J. & Kjaer, T. W. (2016). Case comparison of sleep features from ear-EEG and scalp-EEG. Sleep Science, 9(2), 69-72. https://doi.org/10.1016/j.slsci.2016.05.006
Zibrandtsen, I. C., Kidmose, P., Christensen, C. B. & Kjaer, T. W. (2017). Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy - A comparison with scalp EEG monitoring. Clinical Neurophysiology, 128(12), 2454-2461. https://doi.org/10.1016/j.clinph.2017.09.115
Zibrandtsen, I. C., Kidmose, P. & Kjaer, T. W. (2018). Detection of generalized tonic-clonic seizures from ear-EEG based on EMG analysis. Seizure, 59, 54-59. https://doi.org/10.1016/j.seizure.2018.05.001
Zhou, X., Li, Q., Kilsgaard, S., Moradi, F., Kappel, S. & Kidmose, P. (2016). A Wearable Ear-EEG Recording System Based on Dry-Contact Active Electrodes. I 2016 IEEE Symposium on VLSI Circuits, VLSI Circuits 2016: VLSI Circuits 2016 (Bind 2016). Artikel 7573559 IEEE Press. https://doi.org/10.1109/VLSIC.2016.7573559
Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Artikel nsae026. https://doi.org/10.1093/scan/nsae026
Zamm, A., Kappel, S. L., Demos, A. P., Debener, S. & Konvalinka, I. (2026). The Tapping Orchestra: A 10-Person Platform for Measuring Behavioral & Neural Synchrony During Group Interaction. Zenodo. https://zenodo.org/records/19371499
Wisniewska, D. M., Ratcliffe, J., Beedholm, K., Christensen, C. B., Johnson, M., C. Koblitz, J., Wahlberg, M. & Madsen, P. P. T. (2015). Range-dependent flexibility in the acoustic field of view of echolocating porpoises (Phocoena phocoena). eLife, 4, Artikel e05651. https://doi.org/10.7554/eLife.05651
Wang, Y., Nakanishi, M., Kappel, S., Kidmose, P., Mandic, D., Wang, Y., Cheng, C. & Jung, T. (2015). Developing an Online Steady-State Visual Evoked Potential-Based Brain-Computer Interface System Using EarEEG. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, 2271 - 2274 . https://doi.org/10.1109/EMBC.2015.7318845
Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Christian Hemmsen, M. & Kidmose, P. (2020). Muscle Activity Detection during Sleep by Ear-EEG. I 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) (s. 1007-1010). IEEE. https://doi.org/10.1109/EMBC44109.2020.9176365
Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C., Otto, M. & Kidmose, P. (2021). Ear-EEG for sleep assessment: a comparison with actigraphy and PSG. Sleep and Breathing, 25(3), 1693-1705. https://doi.org/10.1007/s11325-020-02248-1
Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C. & Kidmose, P. (2021). Investigation of low dimensional feature spaces for automatic sleep staging. Computer Methods and Programs in Biomedicine, 205, Artikel 106091. https://doi.org/10.1016/j.cmpb.2021.106091
Tabar, Y. R., Mikkelsen, K. B., Shenton, N., Kappel, S. L., Nikbakht, R., Toft, H. O., Henriksen, C. H., Hemmsen, M. C., Rank, M. L., Otto, M. & Kidmose, P. (2023). At-home sleep monitoring using generic ear-EEG. Frontiers in Neuroscience, 17, Artikel 987578. https://doi.org/10.3389/fnins.2023.987578
Strøm, J., Engholm, A. L., Lorenzen, K. P. & Mikkelsen, K. B. (2024). Common sleep data pipeline for combined data sets. PLoS One, 19(8), Artikel e0307202. https://doi.org/10.1371/journal.pone.0307202
Stochholm, A., Mikkelsen, K. & Kidmose, P. (2016). Automatic Sleep Stage Classification Using Ear-EEG. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, 4751-4754. https://doi.org/10.1109/EMBC.2016.7591789
Sterr, A., Ebajemito, J. K., Mikkelsen, K. B., Bonmati-Carrion, M. A., Santhi, N., Della Monica, C., Grainger, L., Atzori, G., Revell, V., Debener, S., Dijk, D.-J. & DeVos, M. (2018). Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study. Frontiers in Human Neuroscience, 12, Artikel 452. https://doi.org/10.3389/fnhum.2018.00452
Sergeeva, A., Christensen, C. B. & Kidmose, P. (2022). Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 56-59). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871170
Sergeeva, A., Bech Christensen, C. & Kidmose, P. (2024). Effect of Stimulus Bandwidth on the Auditory Steady-State Response in Scalp- and Ear-EEG. Ear and Hearing, 45(3), 626-635. https://doi.org/10.1097/AUD.0000000000001451
Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Towards ASSR-based hearing assessment using natural sounds. Journal of Neural Engineering, 21(2), Artikel 026045. https://doi.org/10.1088/1741-2552/ad3b6b
Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. I 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings (s. 882-886). IEEE. https://doi.org/10.23919/eusipco63174.2024.10715430
Rotvel, C., Møller, S., Nielsen, R. R., Larsen, O. N. & Kidmose, P. (2014). Assessment of preconscious sucrose perception using EEG. Poster-session præsenteret på EuroSense, Copenhagen, Danmark.
Rotvel, C., Møller, S., Kivisaar, K., Kjær, T. W., L. Kring, M., Larsen, O. N. & Kidmose, P. (2016). Effects of Stimulus Duration on Gustatory Evoked Potentials. Poster-session præsenteret på EUROSENSE 2016 - Seventh European Confernece on Sensory and Consumer Research, Dijon, Frankrig.
Rank, M. L. & Kidmose, P. (2010). Method Of Initializing a Binaural Hearing Aid System and a Hearing Aid. (Patentnummer WO2010145698). http://patentscope.wipo.int/search/en/WO2010145698
Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. I 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (s. 420-423). IEEE. https://doi.org/10.1109/EMBC46164.2021.9630958
Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Suntharalingham, D., Kappel, S. L., De Silva, A. C. & Edussooriya, C. U. S. (2024). Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 2893-2904. https://doi.org/10.1109/TNSRE.2024.3438610
Phan, H., Mikkelsen, K., Chén, O. Y., Koch, P., Mertins, A., Kidmose, P. & De Vos, M. (2020). Personalized automatic sleep staging with single-night data: A pilot study with Kullback-Leibler divergence regularization. Physiological Measurement, 41(6), Artikel 064004. https://doi.org/10.1088/1361-6579/ab921e
Phan, H. & Mikkelsen, K. (2022). Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiological Measurement, 43(4), Artikel 04TR01. https://doi.org/10.1088/1361-6579/ac6049
Phan, H., Mikkelsen, K., Chen, O. Y., Koch, P., Mertins, A. & De Vos, M. (2022). SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Transactions on Biomedical Engineering, 69(8), 2456-2467. https://doi.org/10.1109/TBME.2022.3147187
Phan, H., Lorenzen, K. P., Heremans, E., Chen, O. Y., Tran, M. C., Koch, P., Mertins, A., Baumert, M., Mikkelsen, K. B. & De Vos, M. (2023). L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. IEEE Journal of Biomedical and Health Informatics, 27(10), 4748-4757. https://doi.org/10.1109/JBHI.2023.3303197
Petersen, A., Nielsen, K. T., Christensen, C. B. & Toft, S. (2010). The advantage of starving: success in cannibalistic encounters among wolf spiders. Behavioral Ecology, 21, 1112-1117.
Park, C., Looney, D., Kidmose, P., Ungstrup, M. & Mandic, D. P. (2011). Time-frequency analysis of EEG asymmetry using bivariate empirical mode decomposition. I E E E Transactions on Neural Systems and Rehabilitation Engineering, 19(4), 366-373. https://doi.org/10.1109/TNSRE.2011.2116805
Olsen, M. L. S., Thorlund, J. B., Zachariae, R., Vach, W., Bendix, L., Jespersen, J., Kidmose, P., Parsons, C., Kidholm, K. & Vægter, H. B. (2025). Digitally delivered cognitive behavioral therapy for insomnia (CBT-I) for patients with chronic pain and insomnia (The Back2Sleep Trial): study protocol for a randomized controlled trial. Trials, 26(1), Artikel 292. https://doi.org/10.1186/s13063-025-09013-3
Olsen, P. J., Tind Damgaard, A., Banluesombatkul, N. & Mikkelsen, K. B. (2025). EEG data alignment across devices using a neural network. I 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2025 - Proceedings IEEE. https://doi.org/10.1109/EMBC58623.2025.11254069
Nguyen, N. D. T., Mikkelsen, K. & Kidmose, P. (2025). Cognitive component of auditory attention to natural speech events. Frontiers in Human Neuroscience, 18, Artikel 1460139. http://10.3389/fnhum.2024.1460139
Nguyen, N. D. T., Phan, H., Geirnaert, S., Mikkelsen, K. & Kidmose, P. (2025). AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 2695-2706. https://doi.org/10.1109/TNSRE.2025.3587637
Naim, A. M., Wickramasinghe, K., De Silva, A., Perera, M. V., Dulantha Lalitharatne, T. & Kappel, S. L. (2020). Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms. I 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 (Bind 2020-October, s. 3327-3332). Artikel 9283285 IEEE. https://doi.org/10.1109/SMC42975.2020.9283285
Musaeus, C. S., Waldemar, G., Andersen, B. B., Høgh, P., Kidmose, P., Hemmsen, M. C., Rank, M. L., Kjær, T. W. & Frederiksen, K. S. (2022). Long-Term EEG Monitoring in Patients with Alzheimer's Disease Using Ear-EEG: A Feasibility Study. Journal of Alzheimer's Disease, 90(4), 1713-1723. https://doi.org/10.3233/JAD-220491
Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023). Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring. Neurobiology of Disease, 183, Artikel 106149. https://doi.org/10.1016/j.nbd.2023.106149
Musaeus, C. S., Kjær, T. W., Cacic Hribljan, M., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Frederiksen, K. S. (2023). Subclinical Epileptiform Activity in Dementia with Lewy Bodies. Movement Disorders, 38(10), 1861-1870. https://doi.org/10.1002/mds.29531
Musaeus, C. S., Kjaer, T. W., Lindberg, U., Vestergaard, M. B., Bo, H., Larsson, W., Press, D. Z., Andersen, B. B., Høgh, P., Kidmose, P., Hemmsen, M. C., Rank, M. L., Hasselbalch, S. G., Waldemar, G. & Frederiksen, K. S. (2024). Subclinical epileptiform discharges in Alzheimer’s disease are associated with increased hippocampal blood flow. Alzheimer's Research & Therapy, 16(1), Artikel 80. https://doi.org/10.1186/s13195-024-01432-9
Musaeus, C. S., Viana, P. F., Cook, M., Duun-Henriksen, J., Beniczky, S., Kidmose, P., Vanrumste, B., Filtjens, B. & Kjaer, T. W. (2025). Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter. Clinical Neurophysiology Practice, 10, 453-463. https://doi.org/10.1016/j.cnp.2025.09.003
Mikkelsen, K. (2010). Robustness of Hurst Exponent Estimates from BOLD fMRI Time Series Towards Additive Confounders. Abstract fra 16th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spanien. http://ww3.aievolution.com/hbm1001/index.cfm?do=abs.viewAbs&abs=1477
Mikkelsen, K., Imparato, A. & Torcini, A. (2013). Emergence of slow collective oscillations in neural networks with spike-timing dependent plasticity. Physical Review Letters, 110(20), 208101. https://doi.org/10.1103/PhysRevLett.110.208101
Mikkelsen, K. B. & Lund, T. E. (2013). Sampling rate dependence of correlation at long time lags in BOLD fMRI measurements on humans and gel phantoms. Frontiers in Physiology, 4, 106. https://doi.org/10.3389/fphys.2013.00106
Mikkelsen, K., Imparato, A. & Torcini, A. (2014). Sisyphus effect in pulse-coupled excitatory neural networks with spike-timing-dependent plasticity. Physical Review E, 89(6), Artikel 062701. https://doi.org/10.1103/PhysRevE.89.062701
Mikkelsen, K., Kappel, S., Mandic, D. & Kidmose, P. (2015). EEG recorded from the ear: Characterizing the ear-EEG method. Frontiers in Neuroscience, 9(438). https://doi.org/10.3389/fnins.2015.00438
Mikkelsen, K., Christensen, C. B. & Kidmose, P. (2016). Identifying epileptic spikes using ear‐EEG. Poster-session præsenteret på NeuroScience day - brain matters!, Aarhus C, Danmark.
Mikkelsen, K. B. & Bach, L. A. (2016). Threshold Games and Cooperation on Multiplayer Graphs. PLoS One, 11(2), Artikel 0147207. https://doi.org/10.1371/journal.pone.0147207
Mikkelsen, K., Kidmose, P. & Hansen, L. K. (2017). On the Keyhole Hypothesis: High Mutual Information between Ear and Scalp EEG. Frontiers in Human Neuroscience, 11, Artikel 341. https://doi.org/10.3389/fnhum.2017.00341
Mikkelsen, K., Villadsen, D. B., Otto, M. & Kidmose, P. (2017). Automatic sleep staging using ear EEG. BioMedical Engineering Online, 16(1), Artikel 111. https://doi.org/10.1186/s12938-017-0400-5
Mikkelsen, K. (2017, nov. 21). Accurate sleep monitoring at home. BMC Health Services Research. http://blogs.biomedcentral.com/on-health/2017/11/21/accurate-sleep-monitoring-at-home/

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AU Engineering