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Monitoring cardiac function by accelerometer - detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundant.

A. Wajdan, M. Krogh, M. Villegas-Martínez, P. Halvorsen, O. Grymyr, O. Elle, and E. Remme. EMBC, page 4922-4925. IEEE, (2019)

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Markus Remme

Irmgard Remme

Stefan Remme

Joachim Remme

Uwe Remme

Other publications of authors with the same name

Detection of Regional Mechanical Activation of the Left Ventricular Myocardium Using High Frame Rate Ultrasound Imaging.K. Kvåle, J. Bersvendsen, E. Remme, S. Salles, J. Aalen, P. Brekke, T. Edvardsen, and E. Samset. IEEE Trans. Med. Imaging, 38 (11): 2665-2675 (2019)Monitoring cardiac function by accelerometer - detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundant.A. Wajdan, M. Krogh, M. Villegas-Martínez, P. Halvorsen, O. Grymyr, O. Elle, and E. Remme. EMBC, page 4922-4925. IEEE, (2019)Extraction and quantification of left ventricular deformation modes.E. Remme, A. Young, K. Augenstein, B. Cowan, and P. Hunter. IEEE Trans. Biomed. Eng., 51 (11): 1923-1931 (2004)Parameter distribution models for estimation of population based left ventricular deformation using sparse fiducial markers.E. Remme, K. Augenstein, A. Young, and P. Hunter. IEEE Trans. Med. Imaging, 24 (3): 381-388 (2005)Continuous Estimation of Acute Changes in Preload Using Epicardially Attached Accelerometers.M. Krogh, P. Halvorsen, O. Grymyr, J. Bergsland, O. Elle, E. Fosse, and E. Remme. IEEE Trans. Biomed. Eng., 68 (7): 2067-2075 (2021)A computational pipeline for quantification of mouse myocardial stiffness parameters.Ø. Nordbø, P. Lamata, S. Land, S. Niederer, J. Aronsen, W. Louch, I. Sjaastad, H. Martens, A. Gjuvsland, K. Tøndel and 7 other author(s). Comput. Biol. Medicine, (2014)Microsensors for continuous monitoring of heart function.L. Hoff, K. Imenes, L. Fleischer, P. Halvorsen, A. Espinoza, E. Remme, O. Elle, and E. Fosse. BODYNETS, page 117-123. ACM / ICST, (2010)Automatic Detection of Aortic Valve Events Using Deep Neural Networks on Cardiac Signals From Epicardially Placed Accelerometer.A. Wajdan, T. Jahren, M. Villegas-Martínez, F. Khan, P. Halvorsen, H. Odland, O. Elle, A. Solberg, and E. Remme. IEEE J. Biomed. Health Informatics, 26 (9): 4450-4461 (2022)Characteristic Strain Pattern of Moderately Ischemic Myocardium Investigated in a Finite Element Simulation Model.E. Remme, and O. Smiseth. FIMH, volume 4466 of Lecture Notes in Computer Science, page 330-339. Springer, (2007)Cardiac valve event timing in echocardiography using deep learning and triplane recordings.B. Fermann, J. Nyberg, E. Remme, J. Grue, H. Grue, R. Håland, L. Løvstakken, H. Dalen, B. Grenne, S. Aase and 2 other author(s). CoRR, (2024)

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Disambiguation of "Remme, Espen W."