Stetzuhn, M.; Tigges, T.; Pielmus, A.G.; Spies, C.; Middel, C.; Klum, M.; Zaunseder, S.; Orglmeister, R.; Feldheiser, A.
Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia. Sensors 2022, 22, 5066.
https://doi.org/10.3390/s22145066
AMA Style
Stetzuhn M, Tigges T, Pielmus AG, Spies C, Middel C, Klum M, Zaunseder S, Orglmeister R, Feldheiser A.
Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia. Sensors. 2022; 22(14):5066.
https://doi.org/10.3390/s22145066
Chicago/Turabian Style
Stetzuhn, Matthias, Timo Tigges, Alexandru Gabriel Pielmus, Claudia Spies, Charlotte Middel, Michael Klum, Sebastian Zaunseder, Reinhold Orglmeister, and Aarne Feldheiser.
2022. "Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia" Sensors 22, no. 14: 5066.
https://doi.org/10.3390/s22145066
APA Style
Stetzuhn, M., Tigges, T., Pielmus, A. G., Spies, C., Middel, C., Klum, M., Zaunseder, S., Orglmeister, R., & Feldheiser, A.
(2022). Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia. Sensors, 22(14), 5066.
https://doi.org/10.3390/s22145066