HRV Heart Rate Variability algorithms
Hi, I'm interested in measuring heart rate variability. I used OpenBCI with an innovating thinker Alex Doud at a codeathon and was super impressed about how much functionality OpenBCI gives you out of the box. However, I'm interested in measuring the heart's electromagnetic output as an indicator of emotional/psychological/coherence state (how do you feel to put it bluntly).
Does this technology lend itself well to changing electrodes and measured frequencies so I could measure the heart instead?
If not, have other people worked in this space and can anyone give me some tips to learn more? I've been working with HeartMath and they are doing some super cool things, now I want to develop a new technology or algorithm that measures momentary coherence - anybody interested give me a shout!
Adam
adammoen.me
Comments
A lot of EEG setups use the ear lobes for reference or ground connections. I guess you could multiplex both the ground (bias) function and the PulseSensor on one ear lobe. Might be some increased noise though. Definitely would not want to multiplex it with reference.
Most OpenBCI users who use the ear lobe for bias or reference, use a gold cup electrode with Ten20 paste and possibly some tape to hold it in place. It's always recommended not to mix electrode metals, because of potential battery effects.
But I'm recalling now that you are doing EMG and not EEG, so likely have nothing else on the ears.
If you have an extra channel (+ and -) it would be easiest to just measure the direct EKG. Actually the electrical EKG signal is somewhat more accurate for HRV measurements than the plethysmography based systems. The HRV technology used in sports training and conditioning generally uses a chest strap because of the increased accuracy. And less movement artifact. Plethysmography works better when you are relatively still.
http://openbci.com/forum/index.php?p=/discussion/316/ekg-analysis-filtering