Author Info
Name
Affiliation
Papers
BJÖRN M. ESKOFIER
Univ Erlangen Nurnberg, D-91058 Erlangen, Germany
17
Collaborators
Citations 
PageRank 
84
38
6.97
Referers 
Referees 
References 
176
893
229
Search Limit
100893
Title
Citations
PageRank
Year
DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration20.452021
Application Of Artificial Intelligence Methods In Vital Signs Analysis Of Hospitalized Patients: A Systematic Literature Review00.342020
Toward analyzing mutual interference on infrared-enabled depth cameras10.382019
On Providing Multi-Level Quality of Service for Operating Rooms of the Future.00.342019
Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units.00.342018
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.60.482018
A Survey of Sensors in Healthcare Workflow Monitoring.10.342018
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.60.532018
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.30.422017
Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking.00.342017
Privacy Implications Of Room Climate Data20.362017
Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters.70.672017
Can machine learning techniques predict customer dissatisfaction? A feasibility study for the automotive industry.00.342017
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models.30.452017
Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data30.432015
Guest Editorial: Enabling Technologies for Parkinson's Disease Management.00.342015
Sampling rate impact on energy consumption of biomedical signal processing systems40.452015