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RE: Method to identify VT1 and VT2 via HRV analysis [ reply ]
By: Abraham Otero on 2017-01-25 12:34
[forum:43825]
I am afraid that currently do not have any function to compute those thresholds in RHRV.

However, given that you are trying to reproduce the results of somebody else paper, I suggest you read this:

https://www.researchgate.net/profile/Arturo_Mendez/publication/45630438_Detecting_Sleep_Apnea_by_Heart_Rate_Variability_Analysis_Assessing_the_Validity_of_Databases_and_Algorithms/links/09e41509cf320c98e8000000.pdf

Method to identify VT1 and VT2 via HRV analysis [ reply ]
By: Laurent Therond on 2017-01-24 00:51
[forum:43823]

graph.png (2) downloads
I am trying to reproduce the results described in this research paper:

https://dl.dropboxusercontent.com/u/29886031/images/graph.png
https://dl.dropboxusercontent.com/u/29886031/images/text1.png
https://dl.dropboxusercontent.com/u/29886031/images/text2.png

RHRV does a great job getting me close. For the last step, I do:

HFFHF = unlist(lapply(hrv.data$FreqAnalysis[[1]]$HF, function(x) { x * hrv.data$FreqAnalysis[[1]]$HFmax }))
plot(HFFHF, typ="l")

I think that's the metric the paper uses, but I am not entirely clear about that.

Is there a better way to use RHRV to detect the first HF-HRV threshold (HFT1) and the second ventilatory threshold and the second HF-HRV threshold (HFT2)?

Thanks to:
Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge