Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE)

Wearable sensors provide objective gait parameters correlating to clinical scores in Parkinson’s disease (2016) Gaßner H, Schlachetzki J, Marxreiter F, Kohl Z, Barth J, Goßler J, Reinfelder S, et al. Conference contribution, Abstract of lecture Predicting the Effects of Midsole Materials on Running Using Optimal Control Simulation (2016) Dorschky E, Kurfess N, Krüger D, Schlarb H, Eskofier B, van den Bogert AJ Conference contribution, Conference Contribution Inertial Sensor based Gait Analysis Discriminates Subjects with and without Visual Impairment Caused by Simulated Macular Degeneration (2016) Kanzler CM, Barth J, Klucken J, Eskofier B Conference contribution, Conference Contribution Instantaneous P-and T-wave detection: Assessment of three ECG fiducial points detection algorithms (2016) Leutheuser H, Gradl S, Anneken L, Lang N, Achenbach S, Eskofier B, Arnold M Conference contribution, Conference Contribution Detection of Fetal Kicks Using Body-Worn Accelerometers During Pregnancy: Trade-offs Between Sensors Number and Positioning (2016) Gradl S, Altini M, Grieten L, Eskofier B, Geusens N, Mullan P, Penders J, Rooijakkers M Conference contribution, Conference Contribution MotionLab@Home: Complementary Measurement of Gait Characteristics Using Wearable Technology and Markerless Video Tracking - A Study Protocol (2016) Kluge F, Pasluosta CF, Gaßner H, Klucken J, Eskofier B Journal article, Original article A Temperature-Based Bioimpedance Correction for Water Loss Estimation During Sports (2016) Ring M, Lohmüller C, Rauh M, Mester J, Eskofier B Journal article Recent Machine Learning Advancements in Sensor-Based Mobility Analysis: Deep Learning for Parkinson’s Disease Assessment (2016) Eskofier B, Lee SI, Daneault JF, Golabchi FN, Ferreira-Carvalho G, Vergara-Diaz G, Sapienza S, et al. Conference contribution, Conference Contribution Your Personal Movie Producer: Generating Highlight Videos in Soccer Using Wearables (2016) Schuldhaus D, Jakob C, Zwick C, Koerger H, Eskofier B Conference contribution, Conference Contribution Blood glucose level prediction based on support vector regression using mobile platforms (2016) Reymann M, Dorschky E, Groh B, Martindale C, Blank P, Eskofier B Conference contribution, Conference Contribution