Publications

Ning, M., Duwadi, S., Yücel, M. A., Von Lühmann, A., Boas, D. A., & Sen, K. (2024). fNIRS dataset during complex scene analysis. Frontiers in Human Neuroscience, 18, 1329086. https://doi.org/10.3389/fnhum.2024.1329086

Jenko, F. (2024). Three-Dimensional Detection of fNIRS Optodes. Technische Universität Berlin.

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, Boston.

Motamed Jahromi, L., Yang, L., Grosenick, D., & Von Lühmann, A. (2023). Accuracy of tissue oxygen saturation measurement with multidistance CW fNIRS: a phantom study. In D. Contini, Y. Hoshi, & T. D. O'Sullivan (Eds.), Diffuse Optical Spectroscopy and Imaging IX (p. 85). SPIE. https://doi.org/10.1117/12.2670875

Beeler, D., Gao, Y., Tripathi, V., Cronin-Golomb, A., Ellis, T., Kiran, S., Von Lühmann, A., Yücel, M., Boas, D., & Somers, D. (2023). Observability of Visual Working Memory Brain Circuitry With Functional Near-Infrared Spectroscopy. Journal of Vision, 23(9), 5841. https://doi.org/10.1167/jov.23.9.5841

Gao, Y., Rogers, D., Von Lühmann, A., Ortega-Martinez, A., Boas, D. A., & Yücel, M. A. (2023). Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy. Neurophotonics, 10(02). https://doi.org/10.1117/1.NPh.10.2.025007

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

Vidal-Rosas, E. E., von Lühmann, A., Pinti, P., & Cooper, R. J. (2023). Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective. Neurophotonics, 10(2). https://doi.org/10.1117/1.NPh.10.2.023513

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

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.

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

Blickensdörfer, A. (2022). Development and Evaluation of Methods for the Detection of Intracranial Hemorrhages with Functional Near-Infrared Spectroscopy [Master Thesis]. Technische Universität Berlin.

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, Boston, USA.

von Lühmann, A., Blickensdörfer, A., Kaffes, M., Schmitz, C., & Audebert, H. (2022). Exploration of whole-head CW fNIRS-based intracranial hemorrhage detection: progress and challenges. Proc. Biennial Meeting of the Society for FNIRS 2022. Biennial Meeting of the Society for fNIRS 2022, Boston, USA.

Rogers, D., Gao, Y., Boas, D. A., Cronin-Golomb, A., Ellis, T. D., Kiran, S., Somers, D. C., von Lühmann, A., & Yücel, M. (2022). Fast and slow movement-related artifacts in fNIRS signal: what is a viable solution? Proc. Biennial Meeting of the Society for FNIRS 2022, 1.

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.

Gao, Y., Rogers, D., von Lühmann, A., Ortega-Martinez, A., Boas, D. A., & Yücel, M. (2022). Short-separation Regression Incorporated Diffuse Optical Tomography (SS-DOT). Proc. Biennial Meeting of the Society for FNIRS 2022, 1.

Braun, E. J., Carpenter, E., Gao, Y., Cronin-Golomb, A., Ellis, T., Somers, D. C., von Lühmann, A., Yücel, M., Boas, D. A., & Kiran, S. (2022). Neuroscience in the everyday world: Brain correlates of naturalistic discourse in individuals with aphasia. Proc. Biennial Meeting of the Society for FNIRS 2022, 1.

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.

Yang, L., Grosenick, D., Wabnitz, H., & von Lühmann, A. (2022). Towards the integration of CW fNIRS and absolute oximetry: A proof of concept. Proc. Biennial Meeting of the Society for FNIRS 2022, 1.

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

O'Brien, W. J., Zimmerman, B., Martinez, A., Bing, R., Farzam, P., Rogers, D., von Lühmann, A., & Boas, D. (2022). NinjaNIRS 2021: Continued Progress towards Whole Head, High Density fNIRS. Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), JTu3A.46. https://doi.org/10.1364/TRANSLATIONAL.2022.JTu3A.46

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.

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

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

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., 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

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

von Lühmann, A. (2018). Multimodal Instrumentation and Methods for Neurotechnology Out of the Lab [Technische Universität Berlin].

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

von Lühmann, A., & Müller, K.-R. (2018). Biosignal acquisition device and system, method for acquisition of biosignals (Patent US20170281014).

von Lühmann, A., Soekadar, S., Müller, K.-R., & Blankertz, B. (2017). Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, 496–501. https://doi.org/http://dx.doi.org/10.3217/978-3-85125-533-1

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.

von Lühmann, A., & Müller, K.-R. (2017). Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4475–4478. https://doi.org/10.1109/EMBC.2017.8037850

von Lühmann, A., Wabnitz, H., Sander, T., & Müller, K.-R. (2017). M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring. IEEE Transactions on Biomedical Engineering, 64(6), 1199–1210. https://doi.org/10.1109/TBME.2016.2594127

von Lühmann, A., Addesa, J., Chandra, S., Das, A., Hayashibe, M., & Dutta, A. (2017). Neural interfacing non-invasive brain stimulation with NIRS-EEG joint imaging for closed-loop control of neuroenergetics in ischemic stroke. Proceedings of the 8th International IEEE EMBS Conference On Neural Engineering (NER), 349–353. https://doi.org/10.1109/NER.2017.8008362

Shin, J., von Lühmann, A., Blankertz, B., Kim, D.-W., Jeong, J., Hwang, H.-J., & Müller, K.-R. (2017). Open Access Dataset for EEG+ NIRS Single-Trial Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(10), 1735–1745. https://doi.org/10.1109/TNSRE.2016.2628057

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).

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, Berlin, Germany.

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., & 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

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

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).

von Lühmann, A. (2012). Kapazitives sensorsystem zur Messung von Biopotenzialen mit Anordnung zur Erkennung von Bewegungsartefakten (Patent A61B 5/04 (2012.01)).

Schmitz, B., Wiegand, R., Lühmann, A. von, & Schulz, S. (2012). A New Capacitive EMG Sensor for Control of the Active Orthosis Orthojacket. Biomedical Engineering / 765: Telehealth / 766: Assistive Technologies. Biomedical Engineering, Innsbruck, Austria. https://doi.org/10.2316/P.2012.764-059

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).