Wearable Seismocardiography‐Based Assessment of Stroke Volume in Congenital Heart Disease

Background Patients with congenital heart disease (CHD) are at risk for the development of low cardiac output and other physiologic derangements, which could be detected early through continuous stroke volume (SV) measurement. Unfortunately, existing SV measurement methods are limited in the clinic...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Venu G. Ganti, Asim H. Gazi, Sungtae An, Adith V. Srivatsa, Brandi N. Nevius, Christopher J. Nichols, Andrew M. Carek, Munes Fares, Mubeena Abdulkarim, Tarique Hussain, F. Gerald Greil, Mozziyar Etemadi, Omer T. Inan, Animesh Tandon
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Wiley 2022-09-01
Σειρά:	Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Θέματα:	cardiac output machine learning multimodal noninvasive pediatrics
Διαθέσιμο Online:	https://www.ahajournals.org/doi/10.1161/JAHA.122.026067
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