Mäder T, Whitford J, Feinaigle P, Seifritz E, Karlen W, Kleim B. Kognitive und emotionale Prozesse vor dem Einschlafen und deren Einfluss auf den Schlaf: Eine Tagebuchstudie. In: 11. Workshopkongress für Klinische Psychologie und Psychotherapie. 2019.

Schneider N, Ferster M, Lustenberger C, Karlen W, Fehr E. Linking the change in decision-making after sleep restriction to the restorative function of sleep. In: International Conference on Advanced Sleep Modulation Technologies. Monte Verita, Ascona, Switzerland: 2019.

Schneider N, Bernays F, Ferster ML, Lustenberger C. Mitigating impairments in vigilance caused by insufficient sleep durations. In: International Conference on Advanced Sleep Modulation Technologies. Monte Verita, Ascona, Switzerland: 2019.

Schwab P, Karlen W. PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. Proceedings of the AAAI Conference on Artificial Intelligence. 2019; 331118--25.      [DOI]      [Datei] 

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]      [Datei] 

Cherbuin M, Zelder F, Karlen W. Quantifying cyanide in water and foodstuff using corrin-based CyanoKit technologies and a smartphone. The Analyst. 2019; 144(1):130--136.      [DOI]      [Datei] 

Käch M, Laube S, Geissmann L, Karlen W. Reliable data collection in clinical trials with remote settings infrastructure for data capture from wearables and mobile sensors. In: Swiss Medtech Day 2019. Berne: 2019.      [DOI] 

Chung K, Tüshaus L, Karlen W. Review of wearable electroencephalogram systems. Swiss Society Biomedical Engineering 2018 Annual Meeting. 2019;

Huwiler S, Ferster ML, Karlen W, Lustenberger C. Slow wave enhancing auditory stimulation might not influence cognitive functions in elderly. In: International Conference on Advanced Sleep Modulation Technologies. Monte Verita, Ascona, Switzerland: 2019.

Rodriguez Orefice H, Scebba G, Catanzaro S, Berli M, Karlen W. Wound image segmentation with deep neural networks. In: Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE) 2019. 2019.

Pham NM, Rusch S, Temiz Y, Lovchik RD, Beck H, Karlen W, Delamarche E. A bead-based immunogold-silver staining assay on capillary-driven microfluidics. Biomedical microdevices. 2018; 20(2):41.      [DOI]  [Weblink]  [Weblink] 

Karlen W, Schauer T, Möller K, Simanski O. Automation in medicine: from homecare to clinical applications. In: at - Automatisierungstechnik. 2018. p. 990.      [DOI]      [Datei] 

Kammerer T, Faihs V, Hulde N, Bayer A, Hübner M, Brettner F, Karlen W, Kröpfl JM, Rehm M, Spengler C, Schäfer ST. Changes of hemodynamic and cerebral oxygenation after exercise in normobaric and hypobaric hypoxia: associations with acute mountain sickness. Annals of occupational and environmental medicine. 2018; 30(1):66.      [DOI]      [Datei] 

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]      [Datei] 

Käch M, Laube S, Latkovic S, Mutke M, Brasier N, Hölz B, Karlen W, Eckstein J. Enabling continuous patient monitoring in clinics. In: Swiss Medtech Day 2018. Berne: 2018.

Maeder T, Whitford J, Feinaigle P, Karlen W, Kleim B. Investigating Pre-sleep Processes And How They Influence Sleep And Nightmares. Sleep. 2018; 41(suppl{\_}1):A372--A373.      [DOI]      [Datei] 

Pham NM, Karlen W, Beck H, Delamarche E. Malaria and the ‘last' parasite: how can technology help?. Malaria Journal. 2018; 17(1):260.      [DOI]      [Datei] 

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

Scebba G, Tüshaus L, Karlen W. Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Honolulu, HI, USA: IEEE; 2018. p. 5672--5.      [DOI]      [Datei] 

Schwab P, Keller E, Muroi C, Mack DJ, Strässle C, Karlen W. Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. In: Proceedings of the 35th International Conference on Machine Learning, ICML 2018. Stockholm, Sweden: 2018. p. 4525----34.      [DOI]      [Datei] 

Schwab P, Linhardt L, Karlen W. Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. ArXiv Preprint. 2018;     [Datei] 

Ferster ML, Lustenberger C, Karlen W. Prototype development for mobile and automated auditory sleep stimulation. In: 1st International Symposium of the CRPP Sleep & Health, Zurich. Zurich: 2018. p. 1.

Schwab P, Khashkhashi Moghaddam MA, Karlen W. Automated Extraction of Digital Biomarkers for Parkinson ' s Disease. In: 10th Annual RECOMB/ISCB Conference on Regulatory & Systems Genomics with DREAM Challenges. New York, USA: Sage Bionetworks; 2017.     [Datei] 

Schwab P, Scebba GC, Zhang J, Delai M, Karlen W. Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. Computing in Cardiology (CinC). 2017; 441--4.      [DOI]      [Datei] 

Scebba G, Dragas J, Hu S, Karlen W. Improving ROI detection in photoplethysmographic imaging with thermal cameras. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Jeju Island, South Korea: 2017. p. 4285--88.      [DOI] 

Faihs V, Kammerer T, Hulde N, Brettner F, Rehm M, Karlen W, Kroepfl J, Spengler C, Kreth S, Schäfer S. Influence of acute normobaric and hypobaric hypoxia on hemodynamics, cognitive function, cerebral near-infrared spectroscopy and gene expression. In: 2nd Human Physiology Workshop. K{\"{o}}ln: 2017. p. 2017.

Dragas J, Karlen W. Open-Source Low-Cost Wearable Physical Activity Tracker. In: 3rd WHO Global Forum on Medical Devices. Geneva: World Health Organisation; 2017.     [Datei] 

Karlen W. Teaching Appropriate Medical Device Design to Engineers. In: 3rd WHO Global Forum on Medical Devices. Geneva: World Health Organisation; 2017.

Scebba G, Dragas J, Hu S, Karlen W. Thermal cameras enhance ROI detection in photoplethysmographic imaging. In: Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE). Winterthur: 2017.

Ding X, Zhang Y, Tsang HK, Karlen W. A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE; 2016. p. 4240--3.      [DOI]      [Datei] 

Dunsmuir D, Garde A, Zhou G, Raihana S, Huda T, Karlen W, Dehkordi P, Arifeen SE, Ansermino JM. Analysis of the Predictive Potential of Pulse Oximeter Data for Admission. In: Proceedings of the 2016 Society for Technology in Anesthesia Annual Meeting. Anesthesia and analgesia; 2016. p. 75--76.

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]      [Datei] 

Dehkordi P, Garde A, Karlen W, Petersen CL, Wensley D, Dumont GA, Mark Ansermino J. Evaluation of cardiac modulation in children in response to apnea/hypopnea using the Phone Oximeter™. Physiological Measurement. 2016; 37(2):187--202.      [DOI]      [Datei] 

Garde A, Zhou G, Raihana S, Dunsmuir D, Karlen W, Dekhordi P, Huda T, Arifeen SE, Larson C, Kissoon N, Dumont GA, Ansermino JM. Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study. BMJ Open. 2016; 6(8):e011094.      [DOI]      [Datei] 

Luca VD, Jaggi M, Karlen W, Keller E. Temporal prediction of cerebral hypoxia in neurointensive care patients: a feasibility study. In: International Symposium on Intracranial Pressure and Neuromonitoring. 2016. p. 86--87.

Wiens MO, Gan H, Barigye C, Zhou G, Kumbakumba E, Kabakyenga J, Kissoon N, Ansermino JM, Karlen W, Larson CP, MacLeod SM. A cohort study of morbidity, mortality and health seeking behavior following rural health center visits by children under 12 in Southwestern Uganda. PLoS ONE. 2015; 10(1):e0118055.      [DOI] 

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

Raihana S, Dunsmuir D, Huda T, Zhou G, Rahman QS, Garde A, Moinuddin M, Karlen W, Dumont GA, Kissoon N, El Arifeen S, Larson C, Ansermino JM. Development and Internal Validation of a Predictive Model Including Pulse Oximetry for Hospitalization of Under-Five Children in Bangladesh. PLoS ONE. 2015; 10(11):e0143213.      [DOI]      [Datei] 

Karlen W, Dunsmuir D, Ansermino JM. Efficiency of respiratory rate measurements: Comment on Black et al., 2015: “Can simple mobile phone applications provide reliable counts of respiratory rates in sick infants and children? An initial evaluation of three new applications. In: International Journal of Nursing Studies. Elsevier Ltd; 2015. p. 1279--1280.      [DOI]      [Datei] 

Karlen W, Garde A, Myers D, Scheffer C, Ansermino JM, Dumont GA. Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry. IEEE Journal of Biomedical and Health Informatics. 2015; 19(4):1331--8.      [DOI]      [Datei]