Dr. Jörn M. Horschig Profile

Dr. Jörn M. Horschig

at Artinis Medical Systems BV

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Author

Publications (5)

Proceedings Article | 6 March 2023 Presentation + Paper

Application of a recurrent neural network to predict the oxygenated recovery state following maximum isometric hand gripping exercise

B. Pol, T. Willigenburg, W. Kregting, S. Sappia, J. Horschig, W. Colier

Proceedings Volume 12375, 1237509 (2023) https://doi.org/10.1117/12.2653238

KEYWORDS: Muscles, Data modeling, Oxygenation, Near infrared spectroscopy, Neural networks, Statistical modeling, Performance modeling, Cross validation, Artificial intelligence, Machine learning

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SPIE Journal Paper | 9 December 2022 Open Access

Introduction to the shared near infrared spectroscopy format

Stephen Tucker, Jay Dubb, Sreekanth Kura, Alexander von Lühmann, Robert Franke, Jörn M. Horschig, Samuel Powell, Robert Oostenveld, Michael Lührs, Édouard Delaire, Zahra Aghajan, Hanseok Yun, Meryem Yücel, Qianqian Fang, Theodore Huppert, Blaise deB. Frederick, Luca Pollonini, David Boas, Robert Luke

NPh, Vol. 10, Issue 01, 013507, (December 2022) https://doi.org/10.1117/12.10.1117/1.NPh.10.1.013507

KEYWORDS: Near infrared spectroscopy, Data acquisition, Standards development, Software development, Neuroimaging, Neurophotonics, Design and modelling, MATLAB, Data storage, Compliance

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Proceedings Article | 5 March 2021 Presentation + Paper

Cerebral oxygenation responses to head movement measured with near-infrared spectroscopy

Iara de Almeida Ivo, Jörn Horschig, Svetlana Gerakaki, Marc van Wanrooij, Willy N. J. Colier

Proceedings Volume 11638, 116380G (2021) https://doi.org/10.1117/12.2587168

KEYWORDS: Head, Near infrared spectroscopy, Motion analysis, Neuroimaging

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Proceedings Article | 5 March 2021 Presentation + Paper

Employing cardiac and respiratory features extracted from fNIRS signals for mental workload classification

Liucija Svinkunaite, Jörn Horschig, Marianne Floor-Westerdijk

Proceedings Volume 11638, 116380H (2021) https://doi.org/10.1117/12.2587155

KEYWORDS: Feature extraction, Heart, Signal processing, Near infrared spectroscopy, Modulation, Machine learning, Hemodynamics, Brain

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Proceedings Article | 5 March 2021 Presentation + Paper

fNIRS signal quality estimation by means of a machine learning algorithm trained on morphological and temporal features

M. Sofía Sappia, Naser Hakimi, Liucija Svinkunaite, Thomas Alderliesten, Jörn Horschig, Willy N. J. Colier

Proceedings Volume 11638, 116380F (2021) https://doi.org/10.1117/12.2587188

KEYWORDS: Feature extraction, Machine learning, Signal analyzers, Algorithm development, Statistical analysis, Reliability, Hemodynamics, Functional near infrared spectroscopy, Binary data

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