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Department of Electrical and Computer Engineering

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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. In 2016 IEEE Symposium on VLSI Circuits, VLSI Circuits 2016: VLSI Circuits 2016 (Vol. 2016). Article 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), Article nsae026. https://doi.org/10.1093/scan/nsae026

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, Article 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. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 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. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 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, Article 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, Article 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), Article e0307202. https://doi.org/10.1371/journal.pone.0307202

Stochholm, A., Mikkelsen, K. & Kidmose, P. (2016). Automatic Sleep Stage Classification Using Ear-EEG. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 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, Article 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. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 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), Article 026045. https://doi.org/10.1088/1741-2552/ad3b6b

Rotvel, C., Møller, S., Nielsen, R. R., Larsen, O. N. & Kidmose, P. (2014). Assessment of preconscious sucrose perception using EEG. Poster session presented at EuroSense, Copenhagen, Denmark.

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 presented at EUROSENSE 2016 - Seventh European Confernece on Sensory and Consumer Research, Dijon, France.

Rank, M. L. & Kidmose, P. (2010). Method Of Initializing a Binaural Hearing Aid System and a Hearing Aid. (Patent No. WO2010145698). http://patentscope.wipo.int/search/en/WO2010145698

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), Article 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), Article 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

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. In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 (Vol. 2020-October, pp. 3327-3332). Article 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, Article 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), Article 80. https://doi.org/10.1186/s13195-024-01432-9

Mikkelsen, K. (2010). Robustness of Hurst Exponent Estimates from BOLD fMRI Time Series Towards Additive Confounders. Abstract from 16th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spain. 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. (2014). Dynamics of macro- and microscopic neural networks.

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), Article 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 presented at NeuroScience day - brain matters!, Aarhus C, Denmark.

Mikkelsen, K. B. & Bach, L. A. (2016). Threshold Games and Cooperation on Multiplayer Graphs. P L o S One, 11(2), Article 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, Article 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), Article 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/

Mikkelsen, K. B., Ebajemito, J. K., Bonmati-Carrion, M. A., Santhi, N., Revell, V. L., Atzori, G., Monica, C. D., Debener, S., Dijk, D.-J., Sterr, A. & Vos, M. D. (2019). Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy. Journal of Sleep Research, 28(2), Article e12786. https://doi.org/10.1111/jsr.12786

Mikkelsen, K., Kappel, S. L., Hemmsen, M. C., Rank, M. L. & Kidmose, P. (2019). Discrimination of Sleep Spindles in Ear-EEG. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 6697-6700). Article Paper SaC18.2 IEEE. https://doi.org/10.1109/EMBC.2019.8857114

Mikkelsen, K. B., Tabar, Y. R., Kappel, S. L., Christensen, C. B., Toft, H. O., Hemmsen, M. C., Rank, M. L., Otto, M. & Kidmose, P. (2019). Accurate whole-night sleep monitoring with dry-contact ear-EEG. Scientific Reports, 9(1), Article 16824. https://doi.org/10.1038/s41598-019-53115-3

Mikkelsen, K. B., Tabar, Y. R. & Kidmose, P. (2020). Predicting Sleep Classification Performance without Labels. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (pp. 645-648). IEEE. https://doi.org/10.1109/EMBC44109.2020.9175743

Mikkelsen, K., Rezaei Tabar, Y., Christensen, C. B. & Kidmose, P. (2021). EEGs Vary Less Between Lab and Home Locations Than They Do Between People. Frontiers in Computational Neuroscience, 15, 2454–2461. Article 565244. https://doi.org/10.3389/fncom.2021.565244

Mikkelsen, K., Phan, H., Rank, M. L., Hemmsen, M. C., De Vos, M. & Kidmose, P. (2022). Sleep monitoring using ear-centered setups: Investigating the influence from electrode configurations. IEEE Transactions on Biomedical Engineering, 69(5), 1564-1572. https://doi.org/10.1109/TBME.2021.3116274

Mikkelsen, K. B., Tabar, Y. R., Toft, H. O., Hemmsen, M. C., Rank, M. L. & Kidmose, P. (2022). Self-applied ear-EEG for sleep monitoring at home. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 3135-3138). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871076

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AU Engineering