Proceedings of the 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, 2020

2019

Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2019

Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

Usability Study on Mobile Processes Enabling Remote Therapeutic Interventions.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

Mobile Crowdsensing Services for Tinnitus Assessment and Patient Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on AI & Mobile Services, 2017

Studying the Potential of Multi-target Classification to Characterize Combinations of Classes with Skewed Distribution.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

An IT Platform Enabling Remote Therapeutic Interventions.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016

Using Mobile Serious Games in the Context of Chronic Disorders: A Mobile Game Concept for the Treatment of Tinnitus.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Using Wearables in the Context of Chronic Disorders: Results of a Pre-Study.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015

Mobile Crowd Sensing Services for Tinnitus Assessment, Therapy, and Research.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

Mobile Crowd Sensing in Clinical and Psychological Trials - A Case Study.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2010

The Tinnitus Research Initiative (TRI) database: A new approach for delineation of tinnitus subtypes and generation of predictors for treatment outcome.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2010