Department Artificial Intelligence in Biomedical Engineering (AIBE)


close-button

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Unpublished / Preprint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

ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients (2018) Ivanovic M, Ring M, Baronio F, Calza S, Vukcevic V, Hadzievski L, Maluckov A, Eskofier B Journal article, Original article Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach (2018) Ceron JD, López DM, Eskofier B Journal article Accurate and Efficient Calibration of a Robotic C-Arm System Based on X-Ray Observations (2018) Thürauf S Thesis Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks (2018) Schellenberger S, Shi K, Mai M, Wiedemann JPW, Steigleder T, Eskofier B, Weigel R, Kölpin A Conference contribution, Conference Contribution Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis (2018) Nitschke M, Dorschky E, Seifer AK, Schlarb H, van den Bogert AJ, Eskofier B Conference contribution, Abstract of a poster Super-Resolution in RSS-based Direction-of-Arrival Estimation (2018) Nowak T, Hartmann M, Thielecke J, Hadachik N, Mutschler C Conference contribution, Conference Contribution Classification of Match Phases in Handball (2018) Maurer M, Kautz T, Schlenzig A, Hiemann A, Zrenner M, Eskofier B Conference contribution, Abstract of a poster "MigraineMonitor" – Towards a System for the Prediction of Migraine Attacks using Electrostimulation (2018) Stefke A, Wilm F, Richer R, Gradl S, Eskofier B, Forster C, Namer B Conference contribution, Conference Contribution Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards (2018) Da Costa CA, Pasluosta CF, Eskofier B, Da Silva DB, Righi RDR Journal article, Review article FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk) (2018) Ullrich M, Gladow T, Roth N, Küderle A, Ollenschläger M, Gaßner H, Winkler J, et al. Conference contribution, Abstract of lecture