Is everyone using Kubios for R-R interval analysis?
Any other options for the (mac)?
I use an iPhone app (cardiio) although it doesn’t do much analysis you can keep track of your resting hr and it actually measures it too using the phone camera - it’s pretty accurate too 
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You can definitely run kubios 2.0 using winonx, confirmed. I think you can use 2.1 as well.
http://dsquintana.com/post/19814503981/how-to-install-kubios-hrv-on-a-mac-without-parallels
I guess I should mention before you go chasing this down, having worked with it and looked into it extensively, I don’t currently see a use for hrv either at rest or during training.
Many of my problems can be seen in this particular paper.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936188/#!po=57.4074
I will say that anything using hf and lf power breakouts without specifying breathing rates during testing for athletes , I’d discount out of hand. Not at all uncommon for athletes to have resting breathing rates that put the rsa into low frequency region, seen it personally in pilot study.
I’d consider rmssd, sd1 or the hot new lnRMSSD but there seem to be a lot of times where those numbers give conflicting results, where the better trained a person is, the lower those numbers are.
Having looked at it, I wish it worked, especially since r-r data are so widely available now.
I guess I should mention before you go chasing this down, having worked with it and looked into it extensively, I don’t currently see a use for hrv either at rest or during training.
Many of my problems can be seen in this particular paper.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936188/#!po=57.4074
I will say that anything using hf and lf power breakouts without specifying breathing rates during testing for athletes , I’d discount out of hand. Not at all uncommon for athletes to have resting breathing rates that put the rsa into low frequency region, seen it personally in pilot study.
I’d consider rmssd, sd1 or the hot new lnRMSSD but there seem to be a lot of times where those numbers give conflicting results, where the better trained a person is, the lower those numbers are.
Having looked at it, I wish it worked, especially since r-r data are so widely available now.
Thanks Kevin!
The one thing I did find is the APP HRV4Training, and it actually does use breathing in the assessment. Well, to be more precise it prompts you when inspiration/expiration should be.
Yes, I’ve been reading quite heavily over the last few days. I do see a lot on rmssd, sd1 etc. Any chance you could give a quick explanation of the differences, as I’m quite far removed from my statistics knowledge? 