[Cyborg] medical mirror
tanders at stanford.edu
Wed Oct 20 19:46:41 PDT 2010
Did anyone ever find a software package or code for this? I'd like to see
if it can track zebrafish heart rates...
On Mon, Oct 11, 2010 at 1:03 PM, Eric Boyd <mrericboyd at yahoo.com> wrote:
> My guess would be that they can't really get HRV. It looks to me like
> their analysis system requires multiple beats just to get the heart-rate
> accurately (they do the equivalent of an FFT to get it). But given that
> they can get HR at all, I'm sure getting HRV is just a matter of time.
> Might be hard with only 15Hz webcam though - if my calculations are
> right that limits intra-beat timings to +/-4BPM, yes? Or could you
> calculate HRV over a big data set?!?
> I am looking forward to having my new pulse-choker stuff (using polar
> heart rate receiver and a heart-shaped circuit I have designed), I'm
> totally gonna hack a logger into one of them and when I do so I'll share
> the data here :-).
> On 10/9/10 6:03 PM, Tomm wrote:
> > A tray app that monitors your heart rate is a great idea. I wonder if
> > the time resolution is good enough to measure heart rate variation
> > (HRV)? Variations in heartrate is also pretty interesting:
> > "[...] asked 52 adults to report how often they experienced positive
> > emotions like happiness, awe, and gratitude and how socially connected
> > they felt in their social interactions every day for a period of nine
> > weeks. The researchers also measured the HRV of each individual at the
> > beginning and end of the study by measuring heart rate during a
> > two-minute session of normal breathing. HRV at the beginning of the
> > study predicted how quickly people developed positive feelings and
> > experiences of social connectedness throughout the nine-week period. In
> > addition, experiences of social connectedness predicted increases in HRV
> > at the end of the study, demonstrating a reciprocal relationship between
> > heart rate and having satisfying social experiences."
> > Tom
> > On Sat, Oct 9, 2010 at 8:21 AM, Eric Boyd <mrericboyd at yahoo.com
> > <mailto:mrericboyd at yahoo.com>> wrote:
> > http://www.youtube.com/watch?v=LyWnvAWEbWE&feature=player_embedded
> > <http://www.youtube.com/watch?v=LyWnvAWEbWE&feature=player_embedded>
> > Basically, using nothing other than a webcam (1.3MP, 15 Hz!), they
> > read your heart rate. Then they built that into a "medical mirror",
> > you can see your heart beat in the morning when you brush your teeth
> > I found one of his papers about it online, full text:
> > Non-contact, automated cardiac pulse measurements using video imaging
> > and blind source separation
> > http://www.opticsinfobase.org/abstract.cfm?URI=oe-18-10-10762
> > Looks to me like the big breakthrough here is the motion
> > which they got through a combination of face recognition and cropping
> > and separating the video into it's three component colors. They
> > an average error from the reference pulseox reading of less than 1
> > even with movement, that's pretty impressive.
> > Anyone want to write a laptop app which would just keep the webcam on
> > all the time and log your heartbeat?
> > Eric
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