gHRV: Heart rate variability analysis made easy.
In this paper, the gHRV software tool is presented. It is a simple, free and portable tool developed in python for analysing heart rate variability. It includes a graphical user interface and it can import files in multiple formats, analyse time intervals in the signal, test statistical significance and export the results. This paper also contains, as an example of use, a clinical analysis performed with the gHRV tool, namely to determine whether the heart rate variability indexes change across different stages of sleep. Results from tests completed by researchers who have tried gHRV are also explained: in general the application was positively valued and results reflect a high level of satisfaction. gHRV is in continuous development and new versions will include suggestions made by testers.
Department of Computer Science, ESEI, University of Vigo, Spain(1). Electronic address: leandro@uvigo.es.
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Rodríguez-Liñares
Department of Computer Science, ESEI, University of Vigo, Spain(1). Electronic address: mrpepa@uvigo.es.
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Lado
Department of Computer Science, ESEI, University of Vigo, Spain(1). Electronic address: anton@uvigo.es.
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Vila
Department of Computer Science, ESEI, University of Vigo, Spain(1). Electronic address: mrarthur@uvigo.es.
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Méndez
Department of Computer Science, ESEI, University of Vigo, Spain(1). Electronic address: pcuesta@uvigo.es.
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Cuesta
D000465:Algorithms; D000818:Animals; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D020407:Internet; D011381:Programming Languages; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D012985:Software Design; D014584:User-Computer Interface
Heart rate variability; Open source; Signal processing