Publications

This is a list of my publications which i try to keep up to date on a regular basis. The last update was in August 2020. For collections that are always up to date please visit my ResearchGate and/or Google Scholar profile.

Since October 2020 i am an associate editor for frontiers in Neuroergonomics.

I am also regularly performing reviews for a number of journals, some of them shown on the right. You can find my publons profile here.

  • science_advances
    Science Advances

Upcoming

Gao, Y., Rogers, D., von Lühmann, A., Ortega-Martinez, A., Boas, D.A., Yücel, M. Short-separation regression incorporated diffuse optical tomography (SS-DOT) image reconstruction modeling for high-density functional near-infrared spectroscopy (fNIRS), (in review), 2022

2022

A. von Lümann, and P. Britz. „NIRS Device and Method „. European Patent Application No. (EP4023144A1).

Antonio Ortega-Martinez, Alexander Von Lühmann, Parya Farzam, De’Ja Rogers, Emily M. Mugler, David A. Boas, Meryem A. Yücel, „Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data,“ Neurophoton.9(2), 025003 (2022), doi: 10.1117/1.NPh.9.2.025003.

O’Brien, W. J., Zimmerman, B., Martinez, A., Bing, R., Farzam, P., von Lühmann, A., & Boas, D. NinjaNIRS 2021: Continued Progress towards Whole Head, High-Density fNIRS. In Optical Tomography and Spectroscopy (pp. JTu3A-46). Optica Publishing Group., Link, 2022

Ortega-Martinez, A., von Lühmann, A., Boas, D. A., & Yücel, M. A. Closed Loop Feedback fNIRS Brain-Computer Interface for Increasing Classification Accuracy in a Left Versus Right Hand Movement Task. In Optics and the Brain (pp. BM2C-8). Optica Publishing Group. Link, 2022

2021

Ortega-Martinez, A., von Lühmann, A., Yücel, M. A., Farzam, P., Rogers, D., & Boas, D. A. Real-time regression and classification of functional near-infrared spectroscopy signals acquired during motor tasks. In Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics (Vol. 11629, p. 116292N). International Society for Optics and Photonics. Link, 2021

Alexander von Lühmann, Yilei Zheng, Antonio Ortega-Martinez, Swathi Kiran, David Somers, Alice Cronin-Golomb, Louis Awad, Terry Ellis, David A. Boas, Meryem A. Yücel, „Towards Neuroscience of the Everyday World (NEW) using functional Near Infrared Spectroscopy,“ Current Opinion In Biomedical Engineering, vol. 18, 100272, doi: https://doi.org/10.1016/j.cobme.2021.100272, 2021

Surjo Soekadar, Simon H Kohl, Masahito Mihara, Alexander von Lühmann, „Optical brain imaging and its application to neurofeedback,“ Neuroimage: Clinical, 30, 102577, doi: https://doi.org/10.1016/j.nicl.2021.102577, 2021

Meryem A. Yücel, Alexander v. Lühmann, Felix Scholkmann, Judit Gervain, Ippeita Dan, Hasan Ayaz, David Boas, Robert J. Cooper, Joseph Culver, Clare E. Elwell, Adam Eggebrecht, Maria A. Franceschini, Christophe Grova, Fumitaka Homae, Frédéric Lesage, Hellmuth Obrig, Ilias Tachtsidis, Sungho Tak, Yunjie Tong, Alessandro Torricelli, Heidrun Wabnitz, Martin Wolf, „Best Practices for fNIRS publications,“ Neurophotonics. 8(1), 012101, doi: 10.1117/1.NPh.8.1.012101, 2021


2020

E. Opitz, W. Pronobis, G. Schliecker, P. Schrader, A. von Lühmann „Verfahren zum Bestimmen von Schaum beim Behandeln von Wäschestücken sowie Wäschepflegemaschine zu Dessen Durchführung“ German / European Patent Application No. D06F 23/14 (EP3988697A1).

A. von Lühmann, Xinge Li, Natalie Gilmore, Daid A. Boas, M.A. Yücel,
„Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses“, Frontiers in Neuroscience, vol 14 (953), doi: 10.3389/fnins.2020.579353, 2020

A. von Lühmann, B.B. Zimmermann, A.O. Martinez, N. Perkins, M.A. Yücel, D.A. Boas, „Towards Neuroscience in the Everyay World: Progress in wearable fNIRS instrumentation and applications“, Proceedings of the OSA Biophotonics Congress, Ford Lauderdale, Florida, USA, Link, 2020

A. von Lühmann, X. Li, K.-R. Müller, D.A. Boas, M.A. Yücel, “Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis”, NeuroImage, vol 208, pp.116472, doi: 10.1016/j.neuroimage.2019.116472, 2020

A. von Lühmann, A.O. Martinez, D.A. Boas, M.A. Yücel, “Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective”, Frontiers in Human Neuroscience, vol 14, pp.30, doi: 10.3389/fnhum.2020.00030, 2020


2019

A. von Lühmann, Z. Boukouvalas, K.-R. Müller, Tülay Adali “A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy”, NeuroImage, vol. 200, pp. 72-88, doi: 10.1016/j.neuroimage.2019.06.021, 2019


2018

A. von Lühmann, „Multimodal instrumentation and methods for neurotechnology out of the lab„, PhD Thesis, Technische Universität Berlin, doi: 10.14279/depositonce-7445, 2018

J. Shin, A. von Lühmann, D.W. Kim, J. Mehnert, H.J. Hwang and K.-R. Müller, “Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset”, Nature Scientific Data, vol. 5, art. No. 180003, doi: 10.1038/sdata.2018.3, 2018

J. Shin, A. von Lühmann, B. Blankertz, D.W. Kim, J. Mehnert, J. Jeong, H.W. Hwang, and K.-R. Müller. „Open access repository for hybrid EEG-NIRS data.“ In 2018 6th International Conference on Brain-Computer Interface (BCI), pp. 1-4. IEEE, doi: 10.1109/IWW-BCI.2018.8311523, 2018.


2017

A. von Lümann, and K.-R. Müller. „Biosignal acquisition device and system, method for acquisition of biosignals.“ U.S. Patent Application No. 15/090,141 (US20170281014A1), US, CA, AU, EP, CN, WO

J. Shin, A. von Lühmann, B. Blankertz, Do-Won Kim, H.-J. Wang and K.-R. Müller, „Open Access Dataset for EEG+NIRS Single-Trial Classification”, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 25, no. 10, pp. 1735-1745, doi: 10.1109/TNSRE.2016.2628057, 2017

A. von Lühmann, S. Soekadar, K.-R. Müller, B. Blankertz, „Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes“, Proceedings of the 7th Graz Brain-Computer Interface Conference, Graz, Austria, Link, 2017

A. von Lühmann and K.-R. Müller, „Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware”, Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, JeJu Island, Korea, doi: 10.1109/EMBC.2017.8037850, 2017

A. von Lühmann, Jessica Addesa, Sourav Chandra, Abhijit Das, Mitsuhiro Hayashibe and Anirban Dutta, „Neural interfacing non-invasive brain stimulation with NIRS-EEG joint imaging for closed-loop control of neuroenergetics in ischemic stroke”, Conference Proceedings—8th International IEEE EMBS Conference On Neural Engineering, Shanghai, China, doi: 10.1109/NER.2017.8008362, 2017


2016

A. von Lühmann, H. Wabnitz, T. Sander and K.-R. Müller, „M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition architecture for miniaturized EEG-NIRS based hybrid BCI and monitoring”, IEEE Trans. on Biomedical Engineering, vol. 64, no. 6, pp. 1199-1210, doi: 10.1109/TBME.2016.2594127 , 2017 (special feature and front cover article IEEE TBME)

A. von Lühmann and K.R-Müller, „M3BA: New Technology for Mobile Hybrid BCIs“, Proceedings of the 6th International Brain-Computer Interface Meeting, pp. 151, doi: 10.3217/978-3-85125-467-9-15, 2016

A. von Lühmann, „Hybridization of bio-electrical and bio-optical acquisition technology using open fNIRS components“, Proceedings of the Workshop Biosignal Processing, DGBMT, Berlin, Germany, 2016


2015

A. von Lühmann, C. Herff, D. Heger, and T. Schultz, “Towards a wireless open source instrument: functional near-infrared spectroscopy in mobile neuroergonomics and BCI applications”, Frontiers in Human Neuroscience, vol. 9, no. 617, doi: 10.3389/fnhum.2015.00617, 2015


2013

A. von Lühmann, „Capacitive sensor system for measurement of electromagnetic bio-signals, has two capacitive sensors which are provided for measurement of bioelectric field, and for detecting relative movement of two relatively movable elements“, DE Patent Application (DE102012014219A1), 2013


2012

B. Schmitz, R. Wiegand, A. von Lühmann and S. Schulz, „A new capacitive EMG Sensor for control of the active orthosis orthojacket“, Proceedings of the LASTED international Conference BioMed 2012, Innsbruck, Austria, Link, 2012


2009

A. von Lühmann, „Wenn sich das Gehirn selbst betrachtet“, Young Researcher, Verlag Junge Wissenschaft, no. 84, pp. 44-55, Link, 2009