Cargando…
Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia
Compensated shock and hypovolaemia are frequent conditions that remain clinically undetected and can quickly cause deterioration of perioperative and critically ill patients. Automated, accurate and non-invasive detection methods are needed to avoid such critical situations. In this experimental stu...
Autores principales: | Stetzuhn, Matthias, Tigges, Timo, Pielmus, Alexandru Gabriel, Spies, Claudia, Middel, Charlotte, Klum, Michael, Zaunseder, Sebastian, Orglmeister, Reinhold, Feldheiser, Aarne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316072/ https://www.ncbi.nlm.nih.gov/pubmed/35890746 http://dx.doi.org/10.3390/s22145066 |
Ejemplares similares
-
Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram
por: Klum, Michael, et al.
Publicado: (2020) -
GRU Neural Network Improved Bioimpedance Based Stroke Volume Estimation during Ergometry Stress Test
por: Urban, Mike, et al.
Publicado: (2022) -
Perioperative advanced haemodynamic monitoring of patients undergoing multivisceral debulking surgery: an observational pilot study
por: Middel, Charlotte, et al.
Publicado: (2023) -
Beat-to-Beat Blood Pressure Estimation by Photoplethysmography and Its Interpretation
por: Fleischhauer, Vincent, et al.
Publicado: (2022) -
Do intravascular hypovolaemia and hypervolaemia result in changes in pulmonary blood volume?
por: Vos, JJ, et al.
Publicado: (2015)