AcqKnowledge ® software includes a fully-automated Heart Rate Variability analysis tool with flexible options for extracting a wide range of heart rate variability (HRV) and respiratory sinus arrhythmia (RSA) measures. Extract HRV measures over user-defined areas of data, such as fixed time trials (“epochs,”) events and focus areas.
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This project will be moving to GitHub. If you want to contribute or get the latest source go to:HRVAS is a heart rate variability (HRV) analysis tool developed using MATLAB. HRVAS can detrend and filter IBI and can perform time domain, frequency domain, time-frequency, Poincare', and nonlinear HRV analysis.If you use this application or modify this application for your research, please reference the thesis entitled 'DESIGN, EVALUATION, AND APPLICAION OF HEART RATE VARIABILITYANALYSIS SOFTWARE (HRVAS)'. The thesis can be found here.
Kubios HRV is an advanced and easy to use software for heart rate variability (HRV) analysis. The software supports several input data formats for electrocardiogram (ECG) data and beat-to-beat RR interval data. It includes an adaptive QRS detection algorithm and tools for artifact correction, trend removal and analysis sample selection.
The software computes all the commonly used time-domain and frequency-domain HRV parameters and several nonlinear parameters. There are several adjustable analysis settings through which the analysis methods can be optimized for different data. The ECG derived respiratory frequency is also computed, which is important for reliable interpretation of the analysis results. The analysis results can be saved as an ASCII text file (easy to import into MS Excel or SPSS), Matlab MAT-file, or as a PDF report. The software is easy to use through its compact graphical user interface. The software is available free of charge for Windows and Linux operating systems at. Previous article in issue.
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