TY - GEN
T1 - PhysioZoo
T2 - 50th Computing in Cardiology, CinC 2023
AU - Behar, Joachim A.
AU - Levy, Jeremy
AU - Zvuloni, Eran
AU - Gendelman, Sheina
AU - Rosenberg, Aviv
AU - Biton, Shany
AU - Derman, Raphael
AU - Sobel, Jonathan A.
AU - Alexandrovich, Alexandra
AU - Charlton, Peter H.
AU - Goda, Marton A.
N1 - Publisher Copyright:
© 2023 CinC.
PY - 2023
Y1 - 2023
N2 - PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library, a user interface, and a set of tutorials: (1) PhysioZoo HRV, dedicated to studying heart rate variability (HRV) in humans and other mammals; (2) PhysioZoo SPO2, which focuses on the analysis of digital oximetry biomarkers (OBM) using continuous oximetry (SPO2) measurements from humans; (3) PhysioZoo ECG, dedicated to the analysis of electrocardiogram (ECG) time series; (4) PhysioZoo PPG, designed to study photoplethys-mography (PPG) time series. In this proceeding, we introduce the PhysioZoo platform as an open resource for digital physiological biomarkers engineering, facilitating streamlined analysis and data visualization of physiological time series while ensuring the reproducibility of published experiments. We welcome researchers to contribute new libraries for the analysis of various physiological time series, such as electroencephalography, blood pressure, and phonocardiography. You can access the resource at physiozoo.com. We encourage researchers to explore and utilize this platform to advance their studies in the field of continuous physiological time-series analysis.
AB - PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library, a user interface, and a set of tutorials: (1) PhysioZoo HRV, dedicated to studying heart rate variability (HRV) in humans and other mammals; (2) PhysioZoo SPO2, which focuses on the analysis of digital oximetry biomarkers (OBM) using continuous oximetry (SPO2) measurements from humans; (3) PhysioZoo ECG, dedicated to the analysis of electrocardiogram (ECG) time series; (4) PhysioZoo PPG, designed to study photoplethys-mography (PPG) time series. In this proceeding, we introduce the PhysioZoo platform as an open resource for digital physiological biomarkers engineering, facilitating streamlined analysis and data visualization of physiological time series while ensuring the reproducibility of published experiments. We welcome researchers to contribute new libraries for the analysis of various physiological time series, such as electroencephalography, blood pressure, and phonocardiography. You can access the resource at physiozoo.com. We encourage researchers to explore and utilize this platform to advance their studies in the field of continuous physiological time-series analysis.
UR - http://www.scopus.com/inward/record.url?scp=85182344071&partnerID=8YFLogxK
U2 - 10.22489/CinC.2023.190
DO - 10.22489/CinC.2023.190
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85182344071
T3 - Computing in Cardiology
BT - Computing in Cardiology, CinC 2023
Y2 - 1 October 2023 through 4 October 2023
ER -