This article describes a biomedical signal processing (BSP) toolbox for the analysis
of physiologic signals. The BSP toolbox is designed to enable researchers to conduct
preliminary analysis of physiologic time series, such as the electrocardiogram (ECG),
intracranial pressure (ICP), arterial blood pressure (ABP), and oxygen saturation (SpO2).
The toolbox includes detection algorithms for the ECG and pressure waveforms, spectral
analysis, nonlinear filtering, multi-signal analysis, and nonstationary signal visualization.
The following sections discuss the functionality of this toolbox and provide examples of its