Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Temporal correction of detected R-peaks in ECG signals: A crucial step to improve QRS detection algorithms (2015) Gradl S, Leutheuser H, Elgendi M, Lang N, Eskofier B Conference contribution, Conference Contribution On Sweat Analysis for Quantitative Estimation of Dehydration during Physical Exercise (2015) Ring M, Lohmüller C, Rauh M, Eskofier B Conference contribution ER-Force Extended Team Description Paper for Robocup 2015 (2015) Eischer M, Blank P, Danzer A, Hauck A, Hoffmann M, Reck B, Eskofier B Conference contribution Comparative Study on Classifying Gait With a Single Trunk-Mounted Inertial-Magnetic Measurement Unit (2015) Full K, Leutheuser H, Schlessmann J, Armitage R, Eskofier B Conference contribution Pull Test Estimation in Parkinson's Disease Patients using Wearable Sensor Technology (2015) Pasluosta CF, Barth J, Gaßner H, Klucken J, Eskofier B Conference contribution, Original article Sensor-based stroke detection and stroke type classification in table tennis (2015) Blank P, Hoßbach J, Schuldhaus D, Eskofier B Conference contribution, Conference Contribution Sampling rate impact on energy consumption of biomedical signal processing systems (2015) Tobola A, Streit FJ, Espig C, Korpok O, Leutheuser H, Sauter C, Lang N, et al. Conference contribution, Conference Contribution A Robust Kalman Framework with Resampling and Optimal Smoothing (2015) Kautz T, Eskofier B Journal article, Original article Speed modelling of relative gait phase durations. (2015) Hebenstreit F, Leibold A, Krinner S, Welsch G, Lochmann M, Eskofier B Conference contribution, Abstract of a poster Predictive Musculoskeletal Simulation of Uphill and Downhill Running (2015) Dorschky E, van den Bogert AJ, Schlarb H, Eskofier B Conference contribution, Conference Contribution