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Andreas Ziegl
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2020 – today
- 2024
- [c13]Markus Falgenhauer, Aaron Lauschensky, Karl Kreiner
, Stefan Beyer
Towards an Electronic Health Prevention Record Based on HL7 FHIR and the OMOP Common Data Model. dHealth 2024: 107-112 - [c12]Martin Baumgartner, Manuel Grössl, Raphaela Haumer, Katharina Poimer, Flora Prantl, Katharina Weick, Markus Falgenhauer, Stefan Beyer
Neural Network-Based Prediction of Perceived Sleep Quality Through Wearable Device Data. dHealth 2024: 221-227 - [c11]Klaus Donsa
Smart FOX - Enabling Citizen-Based Donation of EHR-Standardised Data for Clinical Research in Austria. MIE 2024: 83-87 - 2023
- [c10]Gihan El Moazen, Andreas Ziegl, Hannah Vinatzer, Angelika Rzepka
Identifying Accuracy-related Outliers in a 6-Minute Walk Test Application for Monitoring Cardiovascular Disease Patients. EMBC 2023: 1-4 - 2022
- [c9]Hannah Vinatzer, Angelika Rzepka
Accuracy of Wearable Photoplethysmography Sensors for Continuous Heart Rate Monitoring in Telehealth Applications. dHealth 2022: 205-211 - [c8]Hannah Vinatzer, Angelika Rzepka
Investigation of the time shift between wearable photoplethysmography sensors used for continuous heart rate monitoring. EMBC 2022: 4308-4311 - 2021
- [j1]Andreas Ziegl
Quantification of the Link between Timed Up-and-Go Test Subtasks and Contractile Muscle Properties. Sensors 21(19): 6539 (2021) - [c7]Andreas Ziegl, Angelika Rzepka
mHealth 6-minute walk test - accuracy for detecting clinically relevant differences in heart failure patients. EMBC 2021: 7095-7098 - [c6]Ane Diz Felipe, Andreas Ziegl
Development of Algorithms for Automated Timed Up-and-Go Test Subtask and Step Frequency Analysis. ICIMTH 2021: 367-370 - 2020
- [c5]Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn
Multi-Stream Deep Neural Network For 12-Lead ECG Classification. CinC 2020: 1-4 - [c4]Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn
Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data. dHealth 2020: 248-255 - [c3]Andreas Ziegl, Dieter Hayn
Machine Learning Based Walking Aid Detection in Timed Up-and-Go Test Recordings of Elderly Patients. EMBC 2020: 808-811
2010 – 2019
- 2018
- [c2]Andreas Ziegl, Peter Kastner, Robert Modre-Osprian, Günter Schreier:
Automated Measurement and Subtask Analysis of the Timed Upand- Go Test in the Field of Geriatrics. EMBC 2018: 1526-1529 - 2017
- [c1]Andreas Ziegl, Robert Modre-Osprian, Alberto Sánchez, Markus Falgenhauer, Peter Kastner, Günter Schreier:
Timed Up-and-Go Device for Unsupervised Functional Assessment of Elderly Patients. eHealth 2017: 298-304
Coauthor Index
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