We have built a small desktop app that generates synthetic PPG waveforms for machine learning work.
Anyone who's tried using public PPG datasets knows how painful it is. You spend days downloading, cleaning, fixing annotations and dealing with weird metadata before you even start building anything.
This just lets you pick a scenario (normal rhythm, bradycardia, AF, hypotension), generate a waveform and export it as CSV or NumPy. It runs offline on your machine. No patient data involved.
It's for prototyping and demos, not clinical use.
There's a free trial if you want to try it:
We have built a small desktop app that generates synthetic PPG waveforms for machine learning work.
Anyone who's tried using public PPG datasets knows how painful it is. You spend days downloading, cleaning, fixing annotations and dealing with weird metadata before you even start building anything.
This just lets you pick a scenario (normal rhythm, bradycardia, AF, hypotension), generate a waveform and export it as CSV or NumPy. It runs offline on your machine. No patient data involved.
It's for prototyping and demos, not clinical use. There's a free trial if you want to try it:
https://ppggenerator.com
Shout if any questions.