PhysioZoo is a collaborative platform dedicated to the study of continuous physiological time series analysis from Human and other mammals.
- 2023-10-01: PhysioZoo
v1.6.9PPG toolbox released.
- 2023-06-08: PhysioZoo
v1.6.7pecg toolbox released.
- 2022-03-04: PhysioZoo
- 2021-03-16: PhysioZoo
- 2018-09-06: PhysioZoo
v1.0.0is now publicly available!
PhysioZoo HRV is a collaborative platform dedicated to the study of the heart rate variability (HRV) from Humans and other mammals’ electrophysiological recordings.
PhysioZoo HRV provides algorithms and a user interface for R-peak detection of mammalian ECG data. In addition, it provides manual annotations tools (peak and data quality) to ensure the reliability of the analyzed data.
HRV measures and data visualization
PhysioZoo includes state of the art HRV measures tailored to the type of mammal that is studied and data visualization features including Poincare plots, power spectrum, distribution of NN intervals and multi scale entropy plot.
PhysioZoo ECG is a collaborative platform dedicated to the study of digital electrocardiography biomarkers to assess cardiac conduction.
ECG measures and data visualization
PhysioZoo ECG includes a set of electrocardiogram digital biomarkers broadly divided into two categories: (1) interval and segments and (2) waves characteristics.
PhysioZoo SPO2 is a collaborative platform dedicated to the study of oximetry digital biomarkers (OBM) analysis from Human continuous oximetry (SpO2) time series.
PhysioZoo SPO2 provides algorithms for detecting oxygen desaturations in continuous oximetry time series as well as visualization tools delimiting the beginnings and ends of the detected desaturations.
PhysioZoo SPO2 includes a number of prefiltering methods that can be used to remove sudden drop or increase in the oximetry time series due to transient noise or other technical issues.
OBM measures and data visualization
PhysioZoo SPO2 includes a set of oximetry digital biomarkers broadly divided into five categories: general statistics, complexity, periodicity, desaturations and hypoxic burden
PhysioZoo PPG is a collaborative platform dedicated to the study of digital photoplethysmography biomarkers to assess cardiac conduction.
The pyPPG toolbox is designed for the analysis of finger photoplethysmogram (PPG) signals, offering a range of features such as robust beat detection, precise fiducial point identification, and a comprehensive evaluation of standard biomarkers.
PPG Fiducial Points
The pyPPG toolbox provides the extraction of 15 fiducial. The fiducial points of the PPG signal include the systolic peak (sp), the pulse onset and offset (on, off), the dicrotic notch (dn), and the diastolic peak (dp). The fiducial points of PPG derivatives are represented by u, v, w, a, b, c, d, e, f, p1, p2. The biomarkers are calculated based on this set of fiducial points.
The pyPPG toolbox includes a comprehensive collection of 74 standard PPG morphological biomarkers which are calculated from the timings and amplitudes of the fiducial points. The biomarkers were categorized into four groups: (1) PPG Signal; (2) Signal Ratios; (3) PPG Derivatives; and (4) Derivatives Ratios. For PPG analysis 9 statistical measurements are provided for each biomarker.