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Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.

Y. Ma, J. Zschocke, M. Glos, M. Kluge, T. Penzel, J. Kantelhardt, and R. Bartsch. Comput. Biol. Medicine, (September 2023)

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Thomas Penzel

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Wearable Multimodal Stethoscope Patch for Wireless Biosignal Acquisition and Long-Term Auscultation.M. Klum, F. Leib, C. Oberschelp, D. Martens, A. Pielmus, T. Tigges, T. Penzel, and R. Orglmeister. EMBC, page 5781-5785. IEEE, (2019)Healthcare and data privacy requirements for e-health cloud: A qualitative analysis of clinician perspectives.T. Chomutare, K. Yigzaw, S. Olabarriaga, A. Makhlysheva, M. de Oliveira, L. Silsand, D. Krefting, T. Penzel, C. Hillen, and J. Bellika. HealthCom, page 1-8. IEEE, (2020)A Review of Obstructive Sleep Apnea Detection Approaches.F. Mendonça, S. Mostafa, A. Ravelo-García, F. Dias, and T. Penzel. IEEE J. Biomed. Health Informatics, 23 (2): 825-837 (2019)STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers.R. Urbanowicz, H. Bandhey, B. Keenan, G. Maislin, S. Hwang, D. Mowery, S. Lynch, D. Mazzotti, F. Han, Q. Li and 12 other author(s). CoRR, (2023)The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study.M. Sinclair, H. Alamdari, J. Paffile, K. El-Sankary, S. Lowe, S. Driscoll, S. Oore, H. Tomson, G. Begin, G. Aristi and 7 other author(s). IEEE Trans. Biomed. Eng., 70 (10): 2776-2787 (October 2023)Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.Y. Ma, J. Zschocke, M. Glos, M. Kluge, T. Penzel, J. Kantelhardt, and R. Bartsch. Comput. Biol. Medicine, (September 2023)Directional Couplings Between Electroencephalogram and Interbeat Intervals Signals in Awake State and Different Stages of Sleep.E. Borovkova, A. Hramkov, A. Karavaev, V. Ponomarenko, M. Prokhorov, Y. Ishbulatov, and T. Penzel. EMBC, page 5398-5402. IEEE, (2021)Detection of Sleep Apnea Using Sonar Smartphone Technology.G. Lyon, R. Tiron, A. Zaffaroni, A. Osman, H. Kilroy, K. Lederer, I. Fietze, and T. Penzel. EMBC, page 7193-7196. IEEE, (2019)Embedded system for non-obtrusive sleep apnea detection*.M. Gaiduk, S. Orcioni, M. Conti, R. Seepold, T. Penzel, N. Madrid, and J. Ortega. EMBC, page 2776-2779. IEEE, (2020)Breathing during REM and non-REM sleep: correlated versus uncorrelated behaviourJ. Kantelhardt, T. Penzel, S. Rostig, H. Becker, S. Havlin, and A. Bunde. Physica A: Statistical Mechanics and its Applications, (Mar 1, 2003)

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Disambiguation of "Penzel, Thomas"

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Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.

Please choose a person to relate this publication to

Thomas Penzel

Thomas Penzel

Thomas Penzel

Thomas Penzel

Thomas Penzel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Penzel, Thomas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.

Please choose a person to relate this publication to

Thomas Penzel

Thomas Penzel

Thomas Penzel

Thomas Penzel

Thomas Penzel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.