Publikationen

2023

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] 

2022

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] 
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] 
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] 
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] 
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] 
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] 
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] 
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] 

2021

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] 
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] 
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] 
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] 
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] 
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, 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] 
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] 

2020

Leach S, Chung K, Tüshaus L, Huber R, Karlen W. A Protocol for Comparing Dry and Wet EEG Electrodes During Sleep. Frontiers in Neuroscience. 2020 Jun.; 14586.      [DOI]      [Datei] 
Schwab P, Linhardt L, Bauer S, Buhmann JM, Karlen W. Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. Proceedings of the AAAI Conference on Artificial Intelligence. 2020 ; 34(04):5612--5619.      [DOI]      [Datei] 
Dutt AG, Verling M, Karlen W. Wearable bioimpedance for continuous and context-aware clinical monitoring. In: 42nd Annual International Conference of the IEEE Engineering in Medicine {\&} Biology Society (EMBC). Montreal, CA: IEEE; 2020. p. 3985--8.      [DOI]      [Datei] 
Stucky B, Clark I, Azza Y, Müller S, Karlen W, Achermann P, Kleim B. Validation of a wearable heart rate and sleep tracker compared with polysomnography in police and rescue workers under natural conditions. Journal of Sleep Research. 2020; 2978.
Albrecht J, Altermatt S, Brotschi B, Baumann C, Ferster M, Karlen W, Huber R. Sleep after concussion: long-term monitoring in children and adolescents in a home-setting. Journal of Sleep Research. 2020; 29355.
Clark I, Stucky B, Azza Y, Müller S, Karlen W, Seifritz E, Kleim B. Shift work-related circadian disruption on diurnal rest-activity and sleep patterns in morning-and evening-type first responders under naturalistic conditions. Journal of Sleep Research. 2020; 29147.
Behar JA, Liu C, Kotzen K, Tsutsui K, Corino VDA, Singh J, Pimentel MAF, Warrick P, Zaunseder S, Andreotti F, Sebag D, Kopanitsa G, McSharry PE, Karlen W, Karmakar C, Clifford GD. Remote health diagnosis and monitoring in the time of COVID-19. Physiological Measurement. 2020; 41(10):      [DOI]      [Datei] 
Ding X, Yan BP, Karlen W, Zhang Y, Tsang HK. Pulse transit time based respiratory rate estimation with singular spectrum analysis. Medical {\&} Biological Engineering {\&} Computing. 2020; 58(2):257--266.      [DOI]      [Datei] 
Krugliakova E, Skorucak J, Sousouri G, Leach S, Ferster L, Poian GD, Karlen W, Huber R. Mapping changes in delta band power following auditory stimulation targeting slow wave up-and down-phases: a source-localization study. Journal of Sleep Research. 2020; 29
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] 
Maeder T, Whitford J, Feinaigle P, Karlen W, Seifritz E, Pace-Schott EF, Kleim B. Investigating Pre-Sleep Processes and How They Influence Sleep: A Diary and Actigraphy Study. Sleep. 2020 ; 43(Supplement{\_}1):A211--A211.      [DOI]      [Datei] 
Schwab P, Karlen W. A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. IEEE Journal of Biomedical and Health Informatics. 2020;      [DOI]      [Datei] 
Hüser M, Kündig A, Karlen W, De Luca V, Jaggi M. Forecasting intracranial hypertension using multi-scale waveform metrios. Physiological Measurement. 2020; 41(1):014001.      [DOI]      [Datei] 
Zhang J, Scebba G, Karlen W. Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate. In: 42nd Annual International Conference of the IEEE Engineering in Medicine {\&} Biology Society (EMBC). Montreal, CA: IEEE; 2020. p. 5939--42.      [DOI]      [Datei] 
Sousouri G, Krugliakova E, Skorucak J, Leach S, Ferster M, Poian GD, Karlen W, Huber R. Changes in slow-wave traveling after phase targeted auditory stimulation of the up and down phase of sleep slow waves. Journal of Sleep Research. 2020; 29234.
Schneider N, Ferster M, Lustenberger C, Schlegel J, Karlen W, Huber R, Maric A, Baumann CR. Can auditory slow wave stimulation during chronic sleep restriction intensify subjective recovery?. Journal of Sleep Research. 2020; 29225.
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]      [Datei] 
Hartinger SM, Nuño N, Hattendorf J, Verastegui H, Karlen W, Ortiz M, Mäusezahl D. A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline findings. BMC medical research methodology. 2020; 20(1):73.      [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. 2020;      [DOI]      [Datei] 

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] 

Folgen sie uns auf twitter!
@medtech_uulm

Forschungschwerpunkte