fwolling / PPGraw

DATA'20 - PPGraw is an analytical tool for the quality review of raw photoplethysmography (PPG) signals, based on 7 multi-varied decision metrics. It has been applied in the review of 10 publicly available photoplethysmography datasets.
https://ubicomp.eti.uni-siegen.de/home/datasets/data20/index.html.en
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heart beat and hrv evaluate #1

Closed wanghaisheng closed 10 months ago

wanghaisheng commented 11 months ago

does you know any tool or work about hr hrv evaluate from ppg sginal

fwolling commented 10 months ago

Hi @wanghaisheng , there are diverse tools one can use for heart rate and variability analysis. In one of my more recent papers, I analyzed and evaluated two popular algorithms: https://doi.org/10.1109/EMBC46164.2021.9630955 One of them is the HeartPy library for Python: https://github.com/paulvangentcom/heartrate_analysis_python However, their performance largely depends on the quality of the input signal, the applied pre-processing/filtering, and the amount of distortion/artifacts due to motion. Best regards, Florian

wanghaisheng commented 10 months ago

I do get this is a complicated task. and I want to know do you have update of your ppgraw work for my knowledge same ppg sensor combined to diff brand device can give us diff quality signal, and your work is important If I want to choose from various vendors provide device like smart watch

fwolling commented 10 months ago

Dear @wanghaisheng, I agree with you and I have the feeling that the issue has not yet really reached the broad community. There are many, many parameters that change and affect the signal and its quality. From my side, there is no news yet, but I will attempt to raise some funding for research on it. Of course, you can support my work by referring to my papers. 😉 I wish you a happy and successful new year 2024! Florian

wanghaisheng commented 10 months ago

thanks as u know china got the most of manufautures like smart watch and bands ,it really no one talking about this @fwolling