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Department of Electrical and Computer Engineering

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Lorenzen, K. P., Heremans, E. R. M., Vos, M. D. & Mikkelsen, K. B. (2024). Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. IEEE Journal of Biomedical and Health Informatics, 28(10), 5804-5815. https://doi.org/10.1109/JBHI.2024.3409165

Looney, D., Kidmose, P., Park, C., Ungstrup, M., Rank, M. L., Rosenkranz, K. & Mandic, D. (2012). The in-the-ear recording concept: User-centered and wearable brain monitoring. I E E E Pulse, 3(6), 32-42. https://doi.org/10.1109/MPUL.2012.2216717

Looney, D., Park, C., Kidmose, P., Rank, M. L., Ungstrup, M., Rosenkranz, K. & Mandic, D. P. (2011). An in-the-ear platform for recording electroencephalogram. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2011, 6882-6885.

Looney, D., Park, C., Mandic, D. P., Kidmose, P. & Ungstrup, M. (2009). Measuring phase synchrony using complex extensions of EMD. In IEEE Workshop on Statistical Signal Processing Proceedings (pp. 49-52) https://doi.org/10.1109/SSP.2009.5278641

Looney, D., Kidmose, P. & Mandic, D. P. (2014). Ear-EEG: User-Centered and Wearable BCI. In C. Guger, B. Z. Allison & G. Edlinger (Eds.), Brain-Computer Interface Research (pp. 41-50). Springer.

Looney, D., Goverdovsky, V., Kidmose, P. & Mandic, D. P. (2014). Subspace Denoising of EEG Artefacts via Multivariate EMD. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 4688-4692. https://doi.org/10.1109/ICASSP.2014.6854491

Looney, D., Park, C., Xia, Y., Kidmose, P., Ungstrup, M. & Mandic, D. P. (2010). Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 Article 5596618 https://doi.org/10.1109/IJCNN.2010.5596618

Lebiecka-Johansen, P., Cabrera, A. F., Strøm, J., Mikkelsen, K., Elsborg Madsen, R., Dyhr Thomsen, M., Hansen, M., Engelhard Christensen, J., Hemmsen, M. & Kidmose, P. (2024). Evaluation of Ear-EEG based Automatic Sleep Staging Performance. Journal of Sleep Research, 33(S1), Article e14291. https://doi.org/10.1111/jsr.14291

Lange, L., Væggemose, A., Kidmose, P., Uldbjerg, N. & Johansen, P. (2012). Characterization of the Electrohysterographic Signal Propagation During Uterine Contractions. Poster session presented at 34rd Annual International Conference of the IEEE, San Diego, United States.

Lange, L., Vaeggemose, A., Kidmose, P., Mikkelsen, E., Uldbjerg, N. & Johansen, P. (2014). Velocity and directionality of the electrohysterographic signal propagation. PLOS ONE, 9(1), 1-6. Article e86775. https://doi.org/10.1371/journal.pone.0086775

Klein-Hitpass, A., Kidmose, P. & Agarwala, S. (2023). Direct-write shielded cables for improved signal integrity. IEEE Journal on Flexible Electronics, 2(6). https://doi.org/10.1109/JFLEX.2023.3294147

Kjær, T. W., Rank, M. L., Hemmsen, M. C., Kidmose, P. & Mikkelsen, K. (2022). Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography. PLOS Digital Health, 1(10), Article e0000134. https://doi.org/10.1371/journal.pdig.0000134

Kidmose, P., Looney, D. & Mandic, D. P. (2012). Auditory evoked responses from Ear-EEG recordings. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 586-589) https://doi.org/10.1109/EMBC.2012.6345999

Kidmose, P. (2011). An adaptive algorithm for real-time electrode calibration. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2011, 63-66. https://doi.org/10.1109/IEMBS.2011.6089897

Kidmose, P., Rank, M. L., Ungstrup, M., Looney, D., Park, C. & Mandic, D. P. (2010). A Yarbus-style experiment to determine auditory attention. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2010, 4650-4653. https://doi.org/10.1109/IEMBS.2010.5626441

Kidmose, P. & Westermann, S. E. (2011). Portable monitoring device with hearing aid and EEG monitor. (Patent No. WO2011038767). http://patentscope.wipo.int/search/en/detail.jsf?docId=WO2011038767&recNum=95&docAn=EP2009062764&queryString=de/%2522wireless%2520power%2520transfer%2522&maxRec=358

Kidmose, P. & Ungstrup, M. (2011). An Ear Plug with Surface Electrodes. (Patent No. WO2011000383). http://patentscope.wipo.int/search/en/WO2011000383

Kidmose, P., Ungstrup, M., Rank, M. L., Mandic , D. P., Looney, D. & Park, C. (2012). A Hearing Aid Adapted for Detecting Brain Waves and a Method for Adapting Such a Hearing Aid. (Patent No. WO2011006681). http://www.google.com/patents/EP2454892A1?cl=en

Kidmose, P. (2007). Hearing Aid Comprising a Data Logger and Method of Operating the Hearing Aid. (Patent No. WO2007045276). http://patentscope.wipo.int/search/en/WO2007045276

Kidmose, P. (2001). Blind Separation of Heavy Tail Signals.

Kidmose, P. (2001). Independent Component Analysis Using the Spectral Measure for Alpha-Stable Distributions. Paper presented at IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, United States.

Kidmose, P. (2000). Alpha-Stable Distributions in Signal Processing of Audio Signals. Paper presented at Conference on Simulation and Modelling, Australia. http://www.ei.dtu.dk/staff/kidmose/documents/kidmose00-2.pdf

Kidmose, P. (2000). Adaptive Filtering for non-Gaussian processes. Paper presented at IEEE International Conference on Acoustics, Speech and Signal Processing , Istanbul, Turkey. https://doi.org/10.1109/ICASSP.2000.861999

Kidmose, P., Looney, D., Ungstrup, M., Rank, M. L. & Mandic, D. (2013). A Study of Evoked Potentials from Ear-EEG. IEEE transactions on bio-medical engineering, 60(10), 2824-2830. https://doi.org/10.1109/TBME.2013.2264956

Kidmose, P., Looney, D., Jochumsen, L. & Mandic, D. (2013). Ear-EEG from generic earpieces: A feasibility study. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2013/35th, 543-546. https://doi.org/10.1109/EMBC.2013.6609557

Kidmose, P., Zhou, X., Kilsgaard, S. & Li, Q. (2016). An active electrode having a closed-loop unit-gain amplifier with chopper modulation. (Patent No. PCT/EP2014/078651). https://dk.espacenet.com/publicationDetails/biblio?CC=WO&NR=2016096030A1&KC=A1&FT=D&ND=3&date=20160623&DB=EPODOC&locale=dk_DK#

Kidmose, P., Rank, M. L., Ungstrup, M., Looney, D., Park, C. & Mandic, D. P. (2010). A Yarbus-style experiment to determine auditory attention. -, 4650-4653. https://doi.org/10.1109/IEMBS.2010.5626441

Kidmose, P., Kromann-Mikkelsen, T., Tøpholm, R. & Arnold, A. (2020). Aarhus University opens the world’s first centre for ear-EEG. In J. Bruun (Ed.), Profile 2020 (pp. 10-13). Aarhus Universitet, Institut for Ingeniørvidenskab . http://www.e-pages.dk/aarhusuniversitet/2231/html5/

Kappel, S., Rathleff, M. S., Hermann, D., Simonsen, O., Karstoft, H. & Ahrendt, P. (2012). A Novel Method for Measuring In-Shoe Navicular Drop during Gait. Sensors, 12(9), 11697-711. https://doi.org/10.3390/s120911697

Kappel, S., Looney, D., Mandic, D. P. & Kidmose, P. (2014). A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 1686-1690. https://doi.org/10.1109/EMBC.2014.6943931

Kappel, S. & Kidmose, P. (2015). Study of Impedance Spectra for Dry and Wet EarEEG Electrodes. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2015, 3161-3164. https://doi.org/10.1109/EMBC.2015.7319063

Kappel, S. (2016). Development and Characterization of Ear-EEG for Real-Life Brain-Monitoring. Department of Engineering, Aarhus University. https://doi.org/10.7146/aul.260.183

Kappel, S., Christensen, C. B., Mikkelsen, K. & Kidmose, P. (2016). Reference configurations for Ear-EEG steady-state responses. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2016, 5689-5692. https://doi.org/10.1109/EMBC.2016.7592018

Kappel, S., Looney, D., Mandic, D. P. & Kidmose, P. (2017). Physiological artifacts in scalp EEG and ear-EEG. BioMedical Engineering Online, 16(1), 103. Article 103. https://doi.org/10.1186/s12938-017-0391-2

Kappel, S. & Kidmose, P. (2017). High-density ear-EEG. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2394-2397. https://doi.org/10.1109/EMBC.2017.8037338

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. Article 8357918. https://doi.org/10.1109/TBME.2018.2835778

Kappel, S. L. & Kidmose, P. (2018). Real-Life Dry-Contact Ear-EEG. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2018, 5470-5474. https://doi.org/10.1109/EMBC.2018.8513532

Kappel, S. L., Makeig, S. & Kidmose, P. (2019). Ear-EEG Forward Models: Improved Head-Models for Ear-EEG. Frontiers in Neuroscience, 13, 943. Article 943. https://doi.org/10.3389/fnins.2019.00943

Kappel, S. L. & Kidmose, P. (2022). Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO₂ Electrodes. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3127-3130). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871923

Jørgensen, S. D., Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (2023). Long-term ear-EEG monitoring of sleep – A case study during shift work. Journal of Sleep Research, 32(5), Article e13853. https://doi.org/10.1111/jsr.13853

Jochumsen, M., Knoche, H., Kidmose, P., Kjær, T. W. & Dinesen, B. I. (2020). Evaluation of EEG Headset Mounting for Brain-Computer Interface-Based Stroke Rehabilitation by Patients, Therapists, and Relatives. Frontiers in Human Neuroscience, 14, Article 13. https://doi.org/10.3389/fnhum.2020.00013

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), Article 2804. https://doi.org/10.3390/s20102804

Jensen, M. H., Rank, M. L. & Kidmose, P. (2011). Method of Rendering Binaural Stereo in a Hearing Aid System and a Hearing Aid System. (Patent No. WO2010043223.). http://www.google.com/patents/EP2351384A1?cl=en

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. Article 7217787. https://doi.org/10.1109/JSEN.2015.2471183

Goverdovsky, V., Looney, D., Kidmose, P. & Mandic, D. (2014). Multimodal physiological sensor for motion artefact rejection. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2753-2756. https://doi.org/10.1109/EMBC.2014.6944193

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

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), Article 106. https://doi.org/10.1186/s12938-019-0725-3

Farooq, F. & Kidmose, P. (2013). Random forest classification for p300 based brain computer interface applications. European Signal Processing Conference (EUSIPCO), 2013, 1-5.

Farooq, F., Looney, D., Mandic, D. P. & Kidmose, P. (2015). EarEEG based Visual P300 Brain-Computer Interface. In 7th International IEEE EMBS Conference on Neural Engineering (NER) (pp. 98-101). IEEE. https://doi.org/10.1109/NER.2015.7146569

Fabricius, T., Kidmose, P. & Hansen, L. K. (2001). Dynamic Components of Linear Stable Mixtures from Fractional Low Order Moments. Paper presented at IEEE International Conference on Acoustics, Speech and Signal Processing 2001, Salt Lake City, United States. https://doi.org/10.1109/ICASSP.2001.940710

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