Below you can find scientific publications that members of the IBS-Lab have been involved in.
2026
Full Papers
4876750
LSM3TR2D
2026
1
apa
50
date
desc
1
title
37
https://ibs-lab.com/wp-content/plugins/zotpress/
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Carlton, L. B., Altınkaynak, M., Kelley, S. M., Zimmermann, B. B., Kura, S., Middell, E., Von Lühmann, A., Stephen, E. P., Yücel, M. A., & Boas, D. A. (2026). Surface-based image reconstruction optimization for high-density functional near-infrared spectroscopy. Neurophotonics, 13(02). https://doi.org/10.1117/1.NPh.13.2.025001
Harmening, N., Von Lühmann, A., & Blankertz, B. (2026). Data-driven head model individualization from digitized electrode positions or photogrammetry improves M/EEG source localization accuracy. Imaging Neuroscience, 4, IMAG.a.1073. https://doi.org/10.1162/IMAG.a.1073
Fischer, T., Middell, E., Moradi, S., & von Lühmann, A. (2026). Boosting Single-Trial fNIRS Decoding Performance: Systematic Gains from HD-DOT, Short-Separation Regression, and Parcel-Space Features. Proceedings of the 6th International Neuroergonomics Conference. 6th International Neuroergonomics Conference, Boston, USA.
Middell, E., Carlton, L., Moradi, S., Codina, T., Fischer, T., Cutler, J., Kelley, S., Behrendt, J., Harmening, N., Yücel, M. A., Boas, D. A., & von Lühmann, A. (2026). Cedalion Tutorial: A Python-based framework for data-driven analysis of multimodal fNIRS & DOT in the lab and the everyday world. arXiv. https://doi.org/10.48550/arXiv.2601.05923
Theses
4876750
EZ9WLZH6
2026
1
apa
50
date
desc
1
title
37
https://ibs-lab.com/wp-content/plugins/zotpress/
Conference Posters & Abstracts
4876750
UK8SZ5QH
2026
1
apa
50
date
desc
1
title
37
https://ibs-lab.com/wp-content/plugins/zotpress/
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Behrendt, J., Codina, T., Adalı, T., & von Lühmann, A. (2026). Spectrally Constrained ICA for SPA-fNIRS Analysis. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Bray, N. W., Orbasli, E. A., von Lühmann, A., Yücel, M. A., & Stephens, J. (2026). Scaling fNIRS through Global Collaboration: A Path toward Harmonized, Multi-Site Analysis. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Carlton, L. B., Chang, C.-Y., Anderson, J. A., Pathiyaparambath, A. D., Mohammad, Y., Rogers, D., Halko, M., Rothlein, D., Kura, S., Zimmermann, B., Stephen, E. P., Yücel, M. A., Boas, D. A., von Lühmann, A., & Esterman, M. (2026). Measuring attentional states with whole head high density wearable fNIRS. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Codina, T., Syarov, P., Siddique, B., Kießling, L., & von Lühmann, A. (2026). Multimodal DOT–EEG Mapping of Single-Finger Sensorimotor Responses During Sitting and Walking. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Dissanayake, T., Siddique, B., & von Lühmann, A. (2026). Deep Representation Learning for fNIRS/DOT Data: Towards a Foundation Model. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Fischer, T., Middell, E., Moradi, S., & von Lühmann, A. (2026). Single-Trial fNIRS/DOT Decoding Improves Systematically with High Optode Density, SS Regression, and Image Reconstruction. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Harmening, N., Boas, D. A., & von Lühmann, A. (2026). Improving DOT Reconstruction Accuracy Without MRI. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Harms, E.-H., Siddique, B., Tesch, C., Syarov, P., Boas, D. A., & von Lühmann, A. (2026). The Conventional General Linear Model in Non-Conventional Naturalistic Paradigms: A Discussion. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Middell, E., Carlton, L., Moradi, S., Codina, T., Fischer, T., Cutler, J., Kelley, S., Behrendt, J., Dissanayake, T., Harmening, N., Yücel, M. A., Boas, D. A., & von Lühmann, A. (2026). Cedalion: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Moradi, S., Dissanayake, T., Harmening, N., Middell, E., & von Lühmann, A. (2026). Improving fNIRS/DOT Deep Learning via Cross-Modal Data Augmentation Using Large fMRI Databases. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Siddique, B., Tesch, C., Syarov, P., Boas, D., & von Lühmann, A. (2026). Brain Network Dynamics during self-paced Tetris, Conversation and Rest using Whole-head HD-DOT. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Siddique, B., & von Lühmann, A. (2026). Fully Integrated Colocalized Optodes for Whole-Head HDDOT and Water-based EEG. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Zimmermann, B. B., Kura, S., Hazen, E., Martel, A., Siddique, B., Joseph, W., Carlton, L., Kelley, S. M., & Duwadi, S. (2026). NinjaNIRS 2026: Expanding Inclusion of All Subjects for Whole-Head Wearable fNIRS in the Everyday World. Proceedings of the 9th Biennial Meeting of the Society for Functional Near-Infrared Spectroscopy (SfNIRS). 9th Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), Macau, China.
Tappayuthpijarn, P., Codina, T., Marhl, U., Jazbinsek, V., Sawosz, P., Liebert, A., Wojtkiewicz, S., Sander, T., & von Lühmann, A. (2026). OPM-MEG and fNIRS Fusion via tCCA and mSPoC Uncovers Neurovascular Coupling in Cortical Source Space. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Carlton, L. B., Chang, C.-Y., Anderson, J. A., Pathiyaparambath, A. D., Mohammad, Y., Rogers, D., Halko, M., Rothlein, D., Kura, S., Zimmermann, B., Stephen, E. P., Yücel, M. A., Boas, D. A., von Lühmann, A., & Esterman, M. (2026). Measuring attentional states with whole head high density wearable fNIRS. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Codina, T., Syarov, P., Siddique, B., Kießling, L., & von Lühmann, A. (2026). Multimodal DOT–EEG Mapping of Single-Finger Sensorimotor Responses During Sitting and Walking. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Harmening, N., Blankertz, B., Boas, D. A., & von Lühmann, A. (2026). Head Model Individualization in electrical and optical brain imaging without mri. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Middell, E., Carlton, L., Moradi, S., Codina, T., Fischer, T., Cutler, J., Kelley, S., Behrendt, J., Dissanayake, T., Harmening, N., Yücel, M. A., Boas, D. A., & von Lühmann, A. (2026). Cedalion: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Moradi, S., Dissanayake, T., Harmening, N., Middell, E., & von Lühmann, A. (2026). Cross-Modal Data Augmentation Approach for fNIRS/DOT Using fMRI-derived signals. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Orabe, M., Dissayanake, T., & Moradi, S. (2026). Deep Learning from Sparse fNIRS Data to Augment High-Density Datasets Improves Decoding Performance. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
Siddique, B., & von Lühmann, A. (2026). Colocalized Optodes for Whole-Head High DensityDiffuse Optical Tomography and Water-based Electroencephalography. Proceedings of the 6th International Mobile Brain/Body Imaging Conference (MoBI). 6th International Mobile Brain/Body Imaging Conference (MoBI), Berlin, Germany.
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Kawaguchi, H., Tanikawa, Y., Yamada, T., Floor-Westerdijk, M., Hoek, M. van der, Yang, L., Lühmann, A. von, Britz, P., Busch, D. R., Torricelli, A., Pifferi, A., Grosenick, D., & Wabnitz, H. (2025). Phantom for standardization in functional near-infrared spectroscopy, part 1: implementation and usage. Neurophotonics, 12(4), 045010. https://doi.org/https://doi.org/10.1117/1.NPh.12.4.045010
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Tesch, C. (2025). Acquisition and Labeling System of Multimodal Data for Neuroscience in the Everyday World [Master Thesis]. Beriner Hochschule für Technik.
Behrendt, J. (2025). Constrained Independent Component Analysis by Entropy Rate Minimization for fNIRS Data Processing [Master Thesis]. Technische Universität Berlin.
Röpke, C. (2025). Development and Validation of High-Performance, Low-Complexity SiPM-Based Readout Circuitry for Wearable fNIRS-Based Neuroimaging [Master Thesis]. Technische Universität Berlin.
Fischer, T. (2025). Machine Learning Methods for Advanced Single-Trial Analysis of HD-DOT Signals [Master Thesis]. Technische Universität Berlin.
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Jahromi, L. M., Yang, L., Von Lühmann, A., & Grosenick, D. (2025, August 24). Validation of a continuous-wave self-calibrating method for tissue oxygen saturation measurements. ISOTT 2025 Conference.
Jahromi, L. M., Yang, L., von Lühmann, A., & Grosenick, D. (2025, June). Asymmetric self-calibrating method for accurate cerebral oximetry. Proceedings of the European Conferences on Biomedical Optics. European Conferences on Biomedical Optics.
Bernhard, F. P., Stein, F., Kock, D., Alizadeh, S., Garcia Alanis, J. C., Francke, S., Nittel, C., Lisa, K., Ludig, L., Teutenberg, L., Thomas-Odenthal, F., Usemann, P., Meinert, S., Hahn, T., Flinkenflügel, K., Thiel, K., Thanarajah, S. E., von Lühmann, A., Jansen, A., … Jamalabadi, H. (2025). Optimizing Transcutaneous Vagal Nerve Stimulation (tVNS) for Treatment of Major Depressive Disorder using functional near-infrared-spectroscopy (fNIRS) - based Functional Connectivity. Brain Stimulation, 18, 380.
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https://ibs-lab.com/wp-content/plugins/zotpress/
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Jenko, F. (2024). Three-Dimensional Detection of fNIRS Optodes. Technische Universität Berlin.
Conference Posters & Abstracts
4876750
UK8SZ5QH
2024
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apa
50
date
desc
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Duwadi, S., Rogers, D., Boyd, A. D., Carlton, L., Zhang, Y., Gaona, A. K., & O’Brien, W. J. (2024, October 4). Whole Head High Density fNIRS for Complex Scene Analysis. Proc. Advances and Perspecitves in Auditory Neuroscience (APAN).
Harmening, N., & Carlton, L. (2024). Individualized head models from registered optodes or photogrammetry for improved DOT image reconstruction. fNIRS 2024 Conference.
Yücel, M. A., Luke, R., & Mesquita, R. C. (2024). The fNIRS Reproducibility Study Hub (FRESH): Exploring Variability and Enhancing Transparency in fNIRS Neuroimaging Research. fNIRS 2024 Conference.
Middell, E., Carlton, L., Fischer, T., Iudina, M., Harmening, N., Yücel, M. A., & Boas, D. A. (2024). Cedalion: A Python-based framework for data driven analysis of multimodal fNIRS and DOT. fNIRS 2024 Conference.
Carlton, L., Yücel, M. A., Behrendt, J., Boas, D. A., & Lühmann, A. V. (2024). Artefact detection and removal using ICA-ERBM in fNIRS. fNIRS 2024 Conference.
Yücel, M. A., Anderson, J., Rogers, D., Gao, Y., Farzam, P., Hajirahimi, P., Braun, E. J., Butler, L. K., Beeler, D., Girnis, J., Kaplan, R. I., Carlton, L., Duwadi, S., Tripathi, V., Somers, D. C., Cronin-Golomb, A., Ellis, T. D., & Boas, D. A. (2024). Inclusivity in fNIRS Studies: Diverse effect of hair and skin properties on signal quality. fNIRS 2024 Conference.
Rogers, D., O’Brien, W. J., Zimmermann, B., Grover, S., Zhang, Y., Kawai, A., Duwadi, S., von Lühmann, A., Reinhard, R., Sen, K., & Yücel, M. A. (2024). Investigating the Cocktail Party Problem using Co-Localized functional Near Infrared Spectroscopy (fNIRS) and Electroencephalography (EEG). fNIRS 2024 Conference.
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Middell, E., Montero-Hernandez, S., Boas, D., & von Lühmann, A. (2023, August 30). Cedalion: A software framework for the analysis of multimodal fNIRS in naturalistic environments. First Neuroscience of the Everyday World Conference.
O'Brien, W. J., Ortega, A., Rogers, D., Yücel, M. A., Von Lühmann, A., Kiran, S., Ellis, T., Somers, D., Cronin-Golomb, A., Boas, D. A., & Zimmermann, B. (2023). NinjaNIRS: An Open-Source Ecosystem for Wearable, Whole-Head and High Density fNIRS with EEG Co-Localization. Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN), BM2B.3. https://doi.org/10.1364/BRAIN.2023.BM2B.3
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https://ibs-lab.com/wp-content/plugins/zotpress/
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Tucker, S., Dubb, J., Kura, S., von Lühmann, A., Franke, R., Horschig, J. M., Powell, S., Oostenveld, R., Lührs, M., Delaire, É., Aghajan, Z. M., Yun, H., Yücel, M. A., Fang, Q., Huppert, T. J., Frederick, B. B., Pollonini, L., Boas, D., & Luke, R. (2022). Introduction to the shared near infrared spectroscopy format. Neurophotonics, 10(01). https://doi.org/10.1117/1.NPh.10.1.013507
Ortega-Martinez, A., Von Lühmann, A., Farzam, P., Rogers, D., Mugler, E. M., Boas, D. A., & Yücel, M. A. (2022). Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data. Neurophotonics, 9(02). https://doi.org/10.1117/1.NPh.9.2.025003
von Lühmann, A., Nandori, A., Soundararajan, J., & Britz, P. (2022). Cap device for use in taking measurement data from a head of a person.
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Cosson Gerstl, I. (2022). Entwicklung und Validierung echtzeitfähiger Algorithmen zur Bestimmung von physiologischen Biomarkern des Herzens mithilfe von funktioneller Nahinfrarotspektroskopie [Bachelor Thesis]. HTW Berlin.
Möhring, T. (2022). Entwicklung neuer rauscharmer Sensorik auf Basis von Silicon Photomultiplier-Dioden für die funktionelle Nahinfrarotspektroskopie [Bachelor Thesis]. HTW Berlin.
Blickensdörfer, A. (2022). Development and Evaluation of Methods for the Detection of Intracranial Hemorrhages with Functional Near-Infrared Spectroscopy [Master Thesis]. Technische Universität Berlin.
Möhring, T. (2022). Entwicklung neuer rauscharmer Sensorik auf basis von SiPM für die fNIRS. HTW Berlin.
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Bartkowski, C., Nandori, A., von Lühmann, A., & Schmitz, C. (2022). Towards a fully integrated Smart Textile patch-based cap for multi-distance CW fNIRS whole-head imaging. Proc. Biennial Meeting of the Society for fNIRS 2022, 1.
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O’Brien, W. J., Ortega-Martinez, A., Rogers, D., Yücel, M. A., von Lühmann, A., Kiran, S., Cronin-Golomb, A., Ellis, T., Boas, D. A., & Zimmermann, B. (2022). NinjaNIRS 2022: Whole-Head, High-Density Wearable fNIRS with EEG Co-Localization. Proc. Biennial Meeting of the Society for fNIRS 2022, 1.
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von Lühmann, A., Gao, Y., Kura, S., Zimmermann, B., Yücel, M., & Boas, D. A. (2022). Can the fNIRS community design a standard cap layout for uniform whole-head HD fNIRS coverage? A discussion. Proc. Biennial Meeting of the Society for fNIRS 2022. Biennial Meeting of the Society for fNIRS 2022.
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Ortega-Martinez, A., von Lühmann, A., Boas, D. A., & Yücel, M. A. (2022). Closed Loop Feedback fNIRS Brain Computer Interface for Increasing Classification Accuracy in a Left Versus Right Hand Movement Task. Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), BM2C.8. https://doi.org/10.1364/BRAIN.2022.BM2C.8
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Yücel, M. A., Lühmann, A., Scholkmann, F., Gervain, J., Dan, I., Ayaz, H., Boas, D., Cooper, R. J., Culver, J., Elwell, C. E., Eggebrecht, A., Franceschini, M. A., Grova, C., Homae, F., Lesage, F., Obrig, H., Tachtsidis, I., Tak, S., Tong, Y., … Wolf, M. (2021). Best practices for fNIRS publications. Neurophotonics, 8(01). https://doi.org/10.1117/1.NPh.8.1.012101
von Lühmann, A., Zheng, Y., Ortega-Martinez, A., Kiran, S., Somers, D. C., Cronin-Golomb, A., Awad, L. N., Ellis, T. D., Boas, D. A., & Yücel, M. A. (2021). Toward Neuroscience of the Everyday World (NEW) using functional near-infrared spectroscopy. Current Opinion in Biomedical Engineering, 18, 100272. https://doi.org/10.1016/j.cobme.2021.100272
Soekadar, S. R., Kohl, S. H., Mihara, M., & von Lühmann, A. (2021). Optical brain imaging and its application to neurofeedback. NeuroImage: Clinical, 30, 102577. https://doi.org/10.1016/j.nicl.2021.102577
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Vo, A. J. D. (2021). Entwicklung einer Firmware zum Steuern und Auslesen eines integrierten Pulsoximetrie- Schaltkreises für den Einsatz in einem tragbaren funktionalen Nahinfrarotspektroskopie-System. HTW Berlin.
Sardogan, A. (2021). Entwicklung und Untersuchung einer flexiblen Elektronik mit hocheffizienten LEDs und integrierten Fotosensoren für funktionelle Nahinfrarotspektroskopie am Vorderkopf [Bachelor Thesis]. HTW Berlin.
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4876750
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2021
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Ortega-Martinez, A., Lühmann, A. von, Yücel, M. A., Farzam, P., Rogers, D., & Boas, D. A. (2021). Real-time regression and classification of functional near infrared spectroscopy signals acquired during motor tasks. In Q. Luo, J. Ding, & L. Fu (Eds.), Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics (p. 71). SPIE. https://doi.org/10.1117/12.2578674
2020
Full Papers
4876750
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2020
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37
https://ibs-lab.com/wp-content/plugins/zotpress/
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von Lühmann, A., Li, X., Gilmore, N., Boas, D. A., & Yücel, M. A. (2020). Open Access Multimodal fNIRS Resting State Dataset With and Without Synthetic Hemodynamic Responses. Frontiers in Neuroscience, 14, 579353. https://doi.org/10.3389/fnins.2020.579353
von Lühmann, A., Ortega-Martinez, A., Boas, D. A., & Yücel, M. A. (2020). Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective. Frontiers in Human Neuroscience, 14, 30. https://doi.org/10.3389/fnhum.2020.00030
von Lühmann, A., Li, X., Müller, K.-R., Boas, D. A., & Yücel, M. A. (2020). Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis. NeuroImage, 208, 116472. https://doi.org/10.1016/j.neuroimage.2019.116472
von Lühmann, A., & Britz, P. (2020). NIRS Device and Method (Patent No. EP4023144).
Opitz, E., Pronobis, W., Schliecker, G., Schrader, P., & von Lühmann, A. (2020). Verfahren zum Bestimmen von Schaum beim Behandeln von Wäschestücken sowie Wäschepflegemaschine zu dessen DVERFAHREN ZUM BESTIMMEN VON SCHAUM BEIM BEHANDELN VON WÄSCHESTÜCKEN SOWIE WÄSCHEPFLEGEMASCHINE ZU DESSEN DURCHFÜHRUNG (DPMA Patent).
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von Lühmann, A., Zimmermann, B. B., Ortega-Martinez, A., Perkins, N., Yücel, M. A., & Boas, D. A. (2020). Towards Neuroscience in the Everyday World: Progress in wearable fNIRS instrumentation and applications. Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN), BM3C.2. https://doi.org/10.1364/BRAIN.2020.BM3C.2
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von Lühmann, A., Boukouvalas, Z., Müller, K.-R., & Adalı, T. (2019). A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy. NeuroImage, 200, 72–88. https://doi.org/10.1016/j.neuroimage.2019.06.021
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von Lühmann, A., & Müller, K.-R. (2018). Biosignal acquisition device and system, method for acquisition of biosignals (Patent No. US20170281014).
Shin, J., von Lühmann, A., Kim, D.-W., Mehnert, J., Hwang, H.-J., & Müller, K.-R. (2018). Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset. Scientific Data, 5(180003). https://doi.org/10.1038/sdata.2018.3
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von Lühmann, A. (2018). Multimodal Instrumentation and Methods for Neurotechnology Out of the Lab [Technische Universität Berlin].
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Friebe, T. (2017). On-chip implementation of electrode impedance measurements and methods for simultaneous acquisition of EEG in a mobile device [Bachelor Thesis]. Technische Universität Berlin.
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Brandl, S., Lühmann, A. von, & Müller, K.-R. (2017). Towards Brain-Computer Interfaces outside the lab: new measuring devices and machine learning challenges. Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
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von Lühmann, A., Wabnitz, H., Sander, T., & Müller, K.-R. (2016). Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and Accelerometer. Proceedings of the Society for Functional Near Infrared Spectroscopy Biennial Meeting 2016.
von Lühmann, A. (2016). Hybridization of bio-electrical and bio-optical acquisition technology using open fNIRS components. Proceedings of the DGBMT Workshop Biosignal Processing. DGBMT Workshop Biosignal Processing.
von Lühmann, A., & Müller, K.-R. (2016). M3BA: New Technology for Mobile Hybrid BCIs. Proceedings of the 6th International Brain-Computer Interface Meeting 2016, 151. https://doi.org/10.3217/978-3-85125-467-9-151
2015
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von Lühmann, A., Herff, C., Heger, D., & Schultz, T. (2015). Towards a wireless open source instrument: functional Near-Infrared Spectroscopy in mobile neuroergonomics and BCI applications. Fronthumneurosci, 9(617). https://doi.org/10.3389/fnhum.2015.00617
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von Lühmann, A. (2014). Design and Evaluation of a System for Mobile Brain Activity Measurements Using Functional Near-Infrared Spectroscopy [Master Thesis]. Karlsruhe Institute of Technology (KIT).
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von Lühmann, A. (2012). Kapazitives sensorsystem zur Messung von Biopotenzialen mit Anordnung zur Erkennung von Bewegungsartefakten (Patent No. A61B 5/04 (2012.01)).
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von Lühmann, A. (2011). Entwicklung kapazitiver Sensorelemente für den Kopf- und Halsbereich zur Ableitung von Bewegungsabsichten für die Steuerung einer aktiven Orthese [Bachelor Thesis]. Karlsruhe Institute of Technology (KIT).
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