Kubios HRV - Heart rate variability analysis software

By Mika P. Tarvainen, Juha-Pekka Niskanen, Jukka Antero Lipponen, Perttu O. Ranta-aho, Pasi A. Karjalainen. Comput. Methods Programs Biomed., 2014

2,546 citations recorded by the source corpus.

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 http://kubios.uef.fi.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine

View Paper: https://www.semanticscholar.org/paper/483783171ec1d4fa5f2a37cb850939842685c38f

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In Biomedical Engineering

In Cardiology and Cardiovascular Medicine

Citations in the corpus

Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017, methodology): “The different threshold levels for artifact correction in Kubios are the following: very low = 0.45 s, low = 0.35 s, medium = 0.25 s, strong = 0.15 s, very strong = 0.05 s.”
A robust algorithm for heart rate variability time series artefact correction using novel beat classification (2019, methodology): “The sampling rate of the ECG was 500Hz and QRS-complexes were detected using the Kubios HRV software [18].”
A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain (2016, methodology): “[0, 6] [7, 8] [9, 10] [11, 12] [13, 14] [15, 16] [17, 37] R at e o f M A C E ( % )”