Jia Zhang

Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate

Jia Zhang, Gaetano Scebba, Walter Karlen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

L G ] 2 4 O ct 2 01 7 Beat by Beat : Classifying Cardiac Arrhythmias with Recurrent Neural Networks

W. Karlen, G. Scebba, P. Schwab, 2017 .

Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2000 m a.s.l

W. Karlen, Laura Tüshaus, Jia Zhang, 2018, bioRxiv.

Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis (Preprint)

W. Karlen, Laura Tüshaus, H. Verastegui, 2018 .

Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study

W. Karlen, O. Distler, Laura Tüshaus, 2021, JMIR mHealth and uHealth.

Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2,000 m a.s.l.

W. Karlen, Laura Tüshaus, Jia Zhang, 2019, Journal of applied physiology.

Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis

Jia Zhang, Walter Karlen, Laura Tüshaus, 2018, JMIR mHealth and uHealth.

Beat by beat: Classifying cardiac arrhythmias with recurrent neural networks

Jia Zhang, Walter Karlen, Patrick Schwab, 2017, 2017 Computing in Cardiology (CinC).

Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation pdf

Walter Karlen, Oliver Distler, Gaetano Scebba, 2021, Informatics in Medicine Unlocked.