RespirAnalyzer

RespirAnalyzer provides an analytic tool for feature extraction, fractal and complexity analysis for continuous monitoring of respiratory signals (CMRS) data.

Key Features:

• Inter-breath interval extraction: Obtains inter-breath intervals (IBI) series from CMRS data.
• Time series visualization: Plots time series of respiratory signals.
• Summary statistics: Obtains summary statistics of IBI series.
• Power spectral density analysis: Conducts power spectral density (PSD) analysis on IBI series.
• Multifractal detrended fluctuation analysis: Performs multifractal detrended fluctuation analysis (MFDFA) on CMRS data.
• Multiscale sample entropy analysis: Conducts multiscale sample entropy (MSE) analysis on CMRS data.
• Extended binomial multifractal model fitting: Fits MFDFA results with the extended binomial multifractal model.
• Result visualization: Displays analysis results using various plots.

Scientific Applications:

• Patient care improvement: Supports analysis of respiratory signals to improve patient care.
• Sports performance optimization: Enables analysis of respiratory data to optimize sports performance.
• Respiratory health research: Advances scientific understanding in the field of respiratory health through feature extraction and complexity analysis of CMRS data.
• Clinical feature investigation: Assists researchers in computing related features of CMRS data to investigate their clinical significance.

Methodology:

The package implements preprocessing, statistical analysis including power spectral density (PSD), multiscale sample entropy (MSE), and multifractal detrended fluctuation analysis (MFDFA), and visualization for continuous monitoring of respiratory signals data.