Atrial Fibrillation (AF) is the most common serious heart arrthymia, affecting around 30 million people worldwide. People with AF have a 4 times higher risk of mortality and 5 times higher risk of stroke than the normal population.
I've implementated a widely-cited CNN architecture for ECG-based AF classifcation. Classification can be run directly off a 60 second recording from a Polar H10 Heart rate monitor.
Hi stenmorten try going into Settings > Privacy & Security > Bluetooth, and adding your terminal application or development environment to the list of applications that are allowed to use Bluetooth
The blue circle is your chest expansions and so when it follows the gold circle you’re controlling your breathing well. Good hrv is above 150 ms and is shown as a green band on the bottom graph
Amazing - thanks! And for respiratory rate, are you just taking the chest rise and fall from the accelerometer? Would it be obscured by general x,y,z body movement or are you filtering it in some way?
It actually looks much smoother than the trace we get from respiratory inductance plethysmography...
Yes basically, I remove the gravity component by high pass filtering, and then take just the component of acceleration which is along the axis of chest expansion (i.e. pointing out from the sensor) off the top of my head this is the z axis.
But this only works when you are sitting quite still, movement introduces a lot of noise to the acceleration
It currently only works with a Polar H10, which has a heart rate monitoring (ECG) and an accelerometer (for measuring breathing rate through chest expansion)
Well, the MD I linked to in [2] above, claims that it's more precise for HRV IIRC. Something about sample rates and filters and skewing of the waveform impacting HRV measurements since they depend on precisely locating waveform peaks. (he has a bunch of posts about the Movessense sensor, so I might not have linked the best one)
I've implementated a widely-cited CNN architecture for ECG-based AF classifcation. Classification can be run directly off a 60 second recording from a Polar H10 Heart rate monitor.