Prof. Dr. Walter Karlen

Walter Karlen
Prof. Dr. Walter Karlen
Institutsleiter
Institut für Biomedizinische Technik
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Deutschland
Raum: 45.2.219

Prof. Walter Karlen

is professor for Biomedical Engineering at Ulm University since May 2021. He is the director of the Institute of Biomedical Engineering in the Faculty of Engineering, Computer Science and Psychology.  Since July 2022 he is also the acting chair of the Institute of Information Resource Management.

He was a Swiss National Science Foundation professor at the Eidgenössische Technische Hochschule Zürich (ETH Zürich) in the Department of Health Sciences and Technology from 2014 to 2020 where he founded and directed the Mobile Health Systems Laboratory. Between 2005 and 2014, he held research positions at the Biomedical Engineering Research Group of the Department of Mechanical and Mechatronics Engineering at the University of Stellenbosch, South Africa; the pediatric anesthesia research group of BC Children's Hospital and Child and Family Research Institute (CFRI);  the Electrical and Computer Engineering in Medicine Research Group of the University of British Columbia (UBC) in Vancouver, Canada;  and the Laboratory of Intelligent Systems at Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
Walter Karlen holds a Master degree in micro-engineering from EPFL and a Docteur ès sciences (PhD) in Computer, Communication and Information Sciences (also EPFL). 

Prof. Karlen was an awardee of the Rising Stars in Global Health program of Grand Challenges Canada. In 2013, he was awarded the Dorothy J. Killam Memorial Postdoctoral Prize for his accomplishments at UBC involving the research on biomedical sensors for global health. He is a Senior Member of the IEEE EMBC society. Prof. Karlen co-directs the Hochschulmedizin Zürich flagship project SleepLoop, a consortia that aims to develop and validate novel technologies for improving sleep and prevent sleep related disease.  

Research Goals and Interests

Prof. Karlen’s objective is to enable the diagnosis, monitoring, and treatment of major global health burdens by developing personalized methods, intelligent devices, and efficient systems that can be used at the point-of-care. His research focuses on the technical aspects of mobile health and point-of-care devices such as real-time biomedical signal processing, mobile computing, sensors and systems design, and quality control. He also works on the improvement of clinical decision support with the design of adaptive systems, smart alarms, and optimized user-machine interaction. 

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Publikationen

Ausgewählte Publikationen der letzten 2 Jahren. Eine vollständige Liste finden Sie auf unserer Forschungsseite.

Garatva P, Terhorst Y, Meßner E, Karlen W, Pryss R, Baumeister H. Smart Sensors for Health Research and Improvement. In: Montag, Christian and Baumeister, Harald, editors. Digital Phenotyping and Mobile Sensing. Cham: Springer International Publishing; 2023. p. 395--411.      [DOI]      [Datei] 
Lustenberger C, Ferster ML, Huwiler S, Brogli L, Werth E, Huber R, Karlen W. Auditory deep sleep stimulation in older adults at home: a randomized crossover trial. Communications Medicine. 2022; 2(1):30.      [DOI]      [Datei] 
Ferster ML, Da Poian G, Menachery K, Schreiner S, Lustenberger C, Maric A, Huber R, Baumann C, Karlen W. Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep. IEEE Transactions on Biomedical Engineering. 2022; 69(9):2916-25.      [DOI]      [Datei] 
Scebba G, Zhang J, Catanzaro S, Mihai C, Distler O, Berli M, Karlen W. Detect-and-segment: A deep learning approach to automate wound image segmentation. Informatics in Medicine Unlocked. 2022; 29100884.      [DOI]      [Datei] 
Meinke A, Peters R, Knols R, Swanenburg J, Karlen W. Feedback on Trunk Movements From an Electronic Game to Improve Postural Balance in People With Nonspecific Low Back Pain: Pilot Randomized Controlled Trial. JMIR Serious Games. 2022; 10(2):e31685.      [DOI]  [Weblink]      [Datei] 
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]      [Datei] 
Sousouri G, Krugliakova E, Skorucak J, Leach S, Snipes S, Ferster ML, Da Poian G, Karlen W, Huber R. Neuromodulation by means of phase-locked auditory stimulation affects key marker of excitability and connectivity during sleep. Sleep. 2022; 45(1):zsab204.      [DOI]      [Datei] 
Meinke A, Maschio C, Meier M, Karlen W, Swanenburg J. The Association of Fear of Movement and Postural Sway in People with Low Back Pain. medRxiv. 2022; preprint.      [DOI]      [Datei] 
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] 
Coleman J, Ginsburg AS, Macharia WM, Ochieng R, Zhou G, Dunsmuir D, Karlen W, Ansermino JM. Identification of thresholds for accuracy comparisons of heart rate and respiratory rate in neonates. Gates Open Research. 2021 ; 593.      [DOI]      [Datei] 
Scebba G, Da Poian G, Karlen W. Multispectral Video Fusion for Non-Contact Monitoring of Respiratory Rate and Apnea. IEEE Transactions on Biomedical Engineering. 2021; 68(1):350--9.      [DOI]      [Datei] 
Fröhlich S, Helbling M, Fucentese SF, Karlen W, Frey WO, Spörri J. Injury risks among elite competitive alpine skiers are underestimated if not registered prospectively, over the entire season and regardless of whether requiring medical attention. Knee Surgery, Sports Traumatology, Arthroscopy. 2021 ; 29(5):1635--1643.      [DOI]      [Datei] 
Schwab P, Karlen W. A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. IEEE Journal of Biomedical and Health Informatics. 2021 ; 25(4):1284--1291.      [DOI]      [Datei] 
Meinke A, Peters R, Knols R, Karlen W, Swanenburg J. Exergaming Using Postural Feedback From Wearable Sensors and Exercise Therapy to Improve Postural Balance in People With Nonspecific Low Back Pain: Protocol for a Factorial Pilot Randomized Controlled Trial. JMIR Research Protocols. 2021 ; 10(8):e26982.      [DOI]      [Datei] 
Ferretti A, Ienca M, Sheehan M, Blasimme A, Dove ES, Farsides B, Friesen P, Kahn J, Karlen W, Kleist P, Liao SM, Nebeker C, Samuel G, Shabani M, Rivas Velarde M, Vayena E. Ethics review of big data research: What should stay and what should be reformed?. BMC Medical Ethics. 2021 ; 22(1):51.      [DOI]      [Datei] 
Clark I, Stucky B, Azza Y, Schwab P, Müller S, Weibel D, Button D, Karlen W, Seifritz E, Kleim B, Landolt H. Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions. Chronobiology International. 2021; 38(12):1702-1713.      [DOI]      [Datei] 
Snipes S, Huber R, Karlen W. A response to Basner et al. (2021): “Response speed measurements on the psychomotor vigilance task: how precise is precise enough?". Sleep. 2021 ; 44(7):      [DOI]      [Datei] 
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]      [Datei] 
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