Prof. Dr. Björn Eskofier

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Design and validation of a multi-task, multi-context protocol for real-world gait simulation (2022) Scott K, Bonci T, Salis F, Alcock L, Buckley E, Gazit E, Hansen C, et al. Journal article Vagus activation by Cold Face Test reduces acute psychosocial stress responses (2022) Richer R, Zenkner JJ, Küderle A, Rohleder N, Eskofier B Journal article, Original article Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring (2022) Herzer L, Mücke A, Richer R, Albrecht NC, Heyder M, Jäger K, König V, et al. Conference contribution, Conference Contribution Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG (2022) Jäger K, Nissen M, Richer R, Rahm S, Titzmann A, Fasching P, Eskofier B, Leutheuser H Conference contribution, Conference Contribution The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction (2022) Müller V, Richer R, Henrich L, Berger L, Gelardi A, Jäger K, Eskofier B, Rohleder N Conference contribution In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy (2022) Hecht D, Pfahler T, Ullmann I, Altstidl TR, Amer N, Jin Y, Eskofier B, Vossiek M Conference contribution xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning (2022) Link J, Schwinn L, Pulsmeyer F, Kautz T, Eskofier B Journal article Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information (2022) Krauß D, Richer R, Küderle A, Beilner J, Rohleder N, Eskofier B Conference contribution, Abstract of a poster A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites (2022) Rodrigues VF, Antunes RS, Seewald LA, Bazo R, dos Reis ES, dos Santos UJ, Righi RdR, et al. Journal article Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation (2022) Qiu J, Oppelt M, Nissen M, Anneken L, Breininger K, Eskofier B Conference contribution