Database for ECG, arterial blood pressure, and respiration signal analysis: feature extraction, spectral estimation, and parameter quantification

An interactive, CD ROM based database developed collaboratively at Harvard Medical School (HMS, Children's Hospital), Massachusetts Institute of Technology (MIT), and the Favaloro Foundation Medical School (FFMS) is presented. The HMS-MlT-FFMS database is designed to expedite training in and comparison of a variety of methodologies for analyzing heart rate (HR), arterial blood pressure (ABP), and instantaneous lung volume (ILV) variability by using a standardized data set as well as development and validation of new methodologies. The database consists of short and long term cardiorespiratory records, representing various physiological conditions, and a variety of algorithms for time and frequency domain analysis. The database package allows feature extraction from sampled data, signal analysis, spectral estimation, and parameter quantification of cardiorespiratory variables such as HR, ABP, and ILV.