Semkiv K, Zhang J, Ferster ML, Karlen W. Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms. arXiv preprint arXiv:2504.08469. 2025;      [DOI] 

Coleman J, Ginsburg AS, Macharia WM, Ochieng R, Chomba D, Zhou G, Dunsmuir D, Karlen W, Ansermino JM. Assessment of neonatal respiratory rate variability. Journal of Clinical Monitoring and Computing. 2022; ahead of print.      [DOI]  [Weblink] 

Chiu N, Huwiler S, Ferster ML, Karlen W, Wu H, Lustenberger C. Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG. Biomedical Signal Processing and Control. 2022; 72(A):103220.      [DOI]      [File] 

Zhang J, Karlen W. A novel quality indicator for displaying and comparing the missingness of the PPG derived respiratory rate. In: Society for Technology in Anaesthesia Annual Meeting 2021 (STA 2021). 2021. p. 67.      [DOI] 

Zhang J, Mihai C, Tüshaus L, Scebba G, Distler O, Karlen W. Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study. JMIR mHealth and uHealth. 2021; 9(7):e26149.      [DOI]      [File] 

Muroi C, Meier S, De Luca V, Mack DJ, Strässle C, Schwab P, Karlen W, Keller E. Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection. Neurocritical Care. 2020; 32(2):419--426.      [DOI]      [File] 

Geissmann L, Käch M, Laube S, Zhang J, Karlen W. Data Integrity for the Internet of Medical Things - Real Time Quality Monitoring for Data Streams from Wearable Sensors. In: Swiss Medtech Day 2020. Berne: 2020.      [DOI] 

Tüshaus L, Moreo M, Zhang J, Hartinger SM, Mäusezahl D, Karlen W. Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2,000 m a.s.l.. Journal of Applied Physiology. 2019; 127(3):847--57.      [DOI]      [File] 

Zhang J, Tüshaus L, Nuño Martinez N, Moreo M, Verastegui H, Hartinger SM, Mäusezahl D, Karlen W. Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis. JMIR mHealth and uHealth. 2018; 6(12):e11896.      [DOI]      [File] 

Zhang J, Misano I, Rimensberger M, Scebba G, Karlen W. mHealth tool for self-assessment of digital ulcers. SSBE 2018 Annual Meeting. 2018;

Ettinger KM, Pharaoh H, Buckman RY, Conradie H, Karlen W. Building quality mHealth for low resource settings. Journal of Medical Engineering {\&} Technology. 2016; 40(7-8):431--43.      [DOI]      [File] 

Karlen W. Data Quality in mHealth. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2015.      [DOI] 

Karlen W, Wiens MO, Gan H, Dunsmuir D, Chiu M, Dumont GA, Ansermino JM. Assessing the Quality of Manual Respiratory Rate Measurements using Mobile Devices. In: Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014). London, UK: IET; 2014. p. 1--4.

Karlen W, Scheffer C. Design of an interactive medical guideline application for community health workers. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2014. p. 1366--1369.      [DOI] 

Crede S, Merwe G, Hutchinson J, Woods D, Karlen W, Lawn J. Where do pulse oximeter probes break?. Journal of clinical monitoring and computing. 2014; 28(3):309--14.      [DOI]      [File] 

Karlen W, Ansermino JM, Dumont G. Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. San Diego: IEEE; 2012. p. 3131--3134.      [DOI]      [File]