Prof. Dr. Björn Eskofier

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

Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices (2014) Richer R, Blank P, Schuldhaus D, Eskofier B Conference contribution, Conference Contribution A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports (2014) Ring M, Lohmüller C, Rauh M, Eskofier B Conference contribution miPod - A Wearable Sports and Fitness Sensor (2014) Blank P, Kugler P, Eskofier B Conference contribution Comparison of Real-Time Classification Systems for Arrhythmia Detection on Android-based Mobile Devices (2014) Leutheuser H, Gradl S, Kugler P, Anneken L, Achenbach S, Eskofier B, Arnold M Conference contribution Movement prediction in rowing using a Dynamic Time Warping based stroke detection (2014) Groh B, Reinfelder S, Streicher M, Taraben A, Eskofier B Conference contribution, Conference Contribution Exergaming on Mobile Devices (2014) Blank P, Eskofier B Conference contribution A Wearable Sensor System for Sports and Fitness Applications (2014) Blank P, Kugler P, Schlarb H, Eskofier B Conference contribution Comparison of A Priori Calibration Models for Respiratory Inductance Plethysmography During Running (2014) Leutheuser H, Heyde C, Gollhofer A, Eskofier B Conference contribution A data collection and communication module for telemedicine and mhealth systems (2014) Blank P, Kugler P, Schuldhaus D, Eskofier B Conference contribution Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy (2014) Schuldhaus D, Leutheuser H, Eskofier B Conference contribution