Suggestion: Add smoothing/filtering option for jumpy heart rate data points

[vanelsberg]

AndroidAPS 3.2.0-dev-j / Wear app: version: 37DF642C50-2023.07.12 Flavor: fullrelease Watch: Samsung Galaxy Watch4 Classic, Wear OS 3.5

Observation: Heart Rate measurements received by AAPS as showed on overview are quite jumpy. I think mostly because of occasional inaccurate readings due to watch movements. Samsung health shows min/max ranges and/or calculates heart rate at rest values that are quite accurate.

Suggestion: For AAPS to show or work in some way with the data points it would help to have some smoothing by averaging or maybe some smart filtering on "sudden out-of-band data"?

AAPS overview sample: (actual rate ranged from ~60..90, graph scale=12hrs)

[jbr7rr]

I see the same thing with my Galaxy Watch 4. Typically when my heart rate is actaully around 60, it bounces somewhere between 120 and 60. Sometimes it will even report a heart rate of 120+ overnight for a couple of hours, which is highly unlikely for me. Also I do actually see this behavior also in Samsung Health. I think for some reason the heart rate gets doubled sometimes?

In this case I don't think smoothing will fix bad sensors. And I think that heart rate based features should come with a warning that this can happen.

[vanelsberg]

I see the same thing with my Galaxy Watch 4. Typically when my heart rate is actually around 60, it bounces somewhere between 120 and 60.

Yes, seeing the same. But not continuedly? Looks to me like the obviously "doubled" values for most part are causing these spikes in the current graph?

I think the problem is that the non-intrusive measurement method used fails due to the watch moving while being active. However even as Samsung Health shows HR ranges it manages to measure/calculate the "heart rate at rest" pretty accurate for me. And when I compare the jumpy HR lines to actual HR values, when imaging an "average" line on while ignoring the spikes to me it appears to get close to the actual HR trends.

So I can imagine that a simple averaging filter, maybe excluding some of the obvious "out of band / doubled" values could give a much more stable HR trend result that can be used for signaling low/high activity?

[vanelsberg]

Did some testing, trying to do some basic averaging of the HR data coming in. But data is so much jumpy I wasn't able to get any real improvement. So I gave up....

Assuming Samsung Health is doing some smart post-processing of the HR data to get something sensible out of the data stream?