Prof. Dr. Björn Eskofier

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

Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices (2012) Gradl S, Kugler P, Lohmüller C, Eskofier B Conference contribution, Conference Contribution Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors (2012) Schuldhaus D, Kugler P, Leible M, Jensen U, Schlarb H, Eskofier B Conference contribution, Conference Contribution Automatic Classification of Sport Exercises for Training Support (2012) Schuldhaus D, Leutheuser H, Eskofier B Conference contribution, Conference Contribution Software-based Performance and Complexity Analysis for the Design of Embedded Classification Systems (2012) Ring M, Jensen U, Kugler P, Eskofier B Conference contribution, Conference Contribution A Virtual Environment Based Evaluating System for Goalkeepers’ Stereopsis Performance in Soccer (2012) Paulus J, Hornegger J, Schmidt M, Eskofier B, Michelson G Conference contribution, Conference Contribution Heart Rate Variability During Physical Exercise (2012) Leutheuser H, Eskofier B Conference contribution, Conference Contribution Generic Features for Biosignal Classification (2012) Jensen U, Ring M, Eskofier B Conference contribution, Conference Contribution Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease (2012) Barth J, Sünkel M, Bergner K, Schickhuber G, Winkler J, Klucken J, Eskofier B Conference contribution, Conference Contribution Biometric and Mobile Gait Analysis for Early Detection and Therapy Monitoring in Parkinson's Disease (2011) Barth J, Klucken J, Kugler P, Kammerer T, Steidl R, Winkler J, Hornegger J, Eskofier B Conference contribution, Conference Contribution Mobile und stationaere Gesundheitsassistenzsysteme - der Markt der Zukunft? (2011) Walk J, Eskofier B, Spallek J, Reuter LM Conference contribution