Aarhus Universitets segl

Publications

Sortér efter: Dato | Forfatter | Titel

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG. Poster-session præsenteret på Advances and Perspectives in Auditory Neuroscience, USA.
Kidmose, P., Kromann-Mikkelsen, T., Tøpholm, R. & Arnold, A. (2020). Aarhus University opens the world’s first centre for ear-EEG. I J. Bruun (red.), Profile 2020 (s. 10-13). Aarhus Universitet, Institut for Ingeniørvidenskab . http://www.e-pages.dk/aarhusuniversitet/2231/html5/
Andersen, C. A., Nielsen, L., Møller, S. & Kidmose, P. (2020). Cortical Response to Fat Taste. Chemical Senses, 45(4), 283-291. https://doi.org/10.1093/chemse/bjaa019
Jochumsen, M., Knoche, H., Kjaer, T. W., Dinesen, B. & Kidmose, P. (2020). EEG headset evaluation for detection of single-trial movement intention for brain-computer interfaces. Sensors (Switzerland), 20(10), Artikel 2804. https://doi.org/10.3390/s20102804
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
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
Mikkelsen, K. B., Tabar, Y. R. & Kidmose, P. (2020). Predicting Sleep Classification Performance without Labels. I 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (s. 645-648). IEEE. https://doi.org/10.1109/EMBC44109.2020.9175743
De Silva, A., Perera, M. V., Wickramasinghe, K., Naim, A. M., Dulantha Lalitharatne, T. & Kappel, S. L. (2020). Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals. I 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings (s. 1299-1303). Artikel 9054227 IEEE. https://doi.org/10.1109/ICASSP40776.2020.9054227
Gangstad, S. W., Mikkelsen, K. B., Kidmose, P., Tabar, Y. R., Weisdorf, S., Lauritzen, M. H., Hemmsen, M. C., Hansen, L. K., Kjaer, T. W. & Duun-Henriksen, J. (2019). Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy. BioMedical Engineering Online, 18(1), Artikel 106. https://doi.org/10.1186/s12938-019-0725-3
Mikkelsen, K., Kappel, S. L., Hemmsen, M. C., Rank, M. L. & Kidmose, P. (2019). Discrimination of Sleep Spindles in Ear-EEG. I 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (s. 6697-6700). Artikel Paper SaC18.2 IEEE. https://doi.org/10.1109/EMBC.2019.8857114
Kappel, S. L., Rank, M. L., Toft, H. O., Andersen, M. & Kidmose, P. (2019). Dry-Contact Electrode Ear-EEG. IEEE Transactions on Biomedical Engineering, 66(1), 150-158. Artikel 8357918. https://doi.org/10.1109/TBME.2018.2835778
Bertelsen, A. R., Bladt, H., Christensen, C. B., Kappel, S. L., Toft, H. O., Rank, M. L., Mikkelsen, K. & Kidmose, P. (2019). Generic Dry-Contact Ear-EEG. I 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (s. 5613-5616). Artikel Paper SaA04.3 IEEE. https://doi.org/10.1109/EMBC.2019.8857351
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), Artikel e12786. https://doi.org/10.1111/jsr.12786
Christensen, C. B., Kappel, S. L. & Kidmose, P. (2018). Auditory Steady-State Responses across Chirp Repetition Rates for Ear-EEG and Scalp EEG. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, 1376-1379. https://doi.org/10.1109/EMBC.2018.8512527
Kappel, S. L. & Kidmose, P. (2018). Real-Life Dry-Contact Ear-EEG. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, 5470-5474. https://doi.org/10.1109/EMBC.2018.8513532
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
Kappel, S. & Kidmose, P. (2017). High-density ear-EEG. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2394-2397. https://doi.org/10.1109/EMBC.2017.8037338
Kappel, S., Looney, D., Mandic, D. P. & Kidmose, P. (2017). Physiological artifacts in scalp EEG and ear-EEG. BioMedical Engineering Online, 16(1), 103. Artikel 103. https://doi.org/10.1186/s12938-017-0391-2
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
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
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.
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.
Christensen, C. B., Lauridsen, H., Christensen-Dalsgaard, J., Pedersen, M. & Madsen, P. T. (2016). In defence of comparative physiology: ideal models for early tetrapods do not exist. Proceedings of the Royal Society B: Biological Sciences, 283(1832), Artikel 20160716. https://doi.org/10.1098/rspb.2016.0716
Goverdovsky, V., Looney, D., Kidmose, P. & Mandic, D. P. (2016). In-Ear EEG from Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring. I E E E Sensors Journal, 16(1), 271-277. Artikel 7217787. https://doi.org/10.1109/JSEN.2015.2471183
Kappel, S., Christensen, C. B., Mikkelsen, K. & Kidmose, P. (2016). Reference configurations for Ear-EEG steady-state responses. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, 5689-5692. https://doi.org/10.1109/EMBC.2016.7592018
Christensen, C. B., Lauridsen, H., Christensen-Dalsgaard, J., Pedersen, M. & Madsen, P. P. T. (2015). Better than fish on land? Hearing across metamorphosis in salamanders. Proceedings of the Royal Society B: Biological Sciences, 282, Artikel 20141943. https://doi.org/10.1098/rspb.2014.1943
Goverdovsky, V., Looney, D., Kidmose, P., Papavassiliou, C. & Mandic, D. P. (2015). Co-Located Multimodal Sensing: A Next Generation Solution for Wearable Health. I E E E Sensors Journal, 15(1), 138-145. https://doi.org/10.1109/JSEN.2014.2338612
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
Farooq, F., Looney, D., Mandic, D. P. & Kidmose, P. (2015). EarEEG based Visual P300 Brain-Computer Interface. I 7th International IEEE EMBS Conference on Neural Engineering (NER) (s. 98-101). IEEE. https://doi.org/10.1109/NER.2015.7146569