Institute of Databases and Information Systems
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Measuring the Moment-to-Moment Variability of Tinnitus: The TrackYourTinnitus Smart Phone App.
Frontiers in aging neuroscience , 2016 | Pubmed ID: 28018210
Innovations in Doctoral Training and Research on Tinnitus: The European School on Interdisciplinary Tinnitus Research (ESIT) Perspective.
Frontiers in aging neuroscience , 2017 | Pubmed ID: 29375369
Learnability of a Configurator Empowering End Users to Create Mobile Data Collection Instruments: Usability Study.
JMIR mHealth and uHealth Jun, 2018 | Pubmed ID: 29959107
Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments.
Frontiers in neuroscience , 2018 | Pubmed ID: 30177869
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data.
Sensors (Basel, Switzerland) Sep, 2019 | Pubmed ID: 31510064
Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study.
JMIR mHealth and uHealth 10, 2019 | Pubmed ID: 31670692
Learning to Read by Learning to Write: Evaluation of a Serious Game to Foster Business Process Model Comprehension.
JMIR serious games Jan, 2020 | Pubmed ID: 31917374
Measuring Mental Effort for Creating Mobile Data Collection Applications.
International journal of environmental research and public health 03, 2020 | Pubmed ID: 32138381
Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain.
Frontiers in neuroscience , 2020 | Pubmed ID: 32184708
Smartphone Apps in the Context of Tinnitus: Systematic Review.
Sensors (Basel, Switzerland) Mar, 2020 | Pubmed ID: 32204540
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.
Sensors (Basel, Switzerland) Jun, 2020 | Pubmed ID: 32570953
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study.
Journal of medical Internet research Jun, 2020 | Pubmed ID: 32602842
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment.
JMIR mHealth and uHealth Aug, 2020 | Pubmed ID: 32808939
Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study.
Sensors (Basel, Switzerland) Aug, 2020 | Pubmed ID: 32823891
Burkhard Hoppenstedt1,
Thomas Probst2,
Manfred Reichert1,
Winfried Schlee3,
Klaus Kammerer1,
Myra Spiliopoulou4,
Johannes Schobel1,
Michael Winter1,
Anna Felnhofer5,
Oswald D. Kothgassner6,
Rüdiger Pryss7
1Institute of Databases and Information Systems, Ulm University,
2Department for Psychotherapy and Biopsychosocial Health, Danube University Krems,
3Department of Psychiatry and Psychotherapy, University of Regensburg,
4Faculty of Computer Science, Otto von Guericke University Magdeburg,
5Department of Pediatrics and Adolescent Medicine, Medical University of Vienna,
6Department of Child and Adolescent Psychiatry, Medical University of Vienna,
7Institute of Clinical Epidemiology and Biometry, University of Würzburg
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