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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.

Home Page: https://ubicomp.eti.uni-siegen.de/home/datasets/data20/index.html.en

Jupyter Notebook 97.52% Python 2.48%
ppg photoplethysmography raw dataset data analysis review

ppgraw's Introduction

Welcome!

I am research assistant at the research unit for Artifact-based Computing and User Research at TU Wien in Vienna, Austria.

Research Interests

  • ubiquitous computing
  • wearable sensing systems
  • digital signal processing
  • photoplethysmography
  • electrocardiography
  • wireless body-area networks
  • intra-body communication
  • body-coupled communication

Follow Me Online

Florian Wolling | University of Siegen Florian Wolling | LinkedIn Florian Wolling | ORCID 0000-0002-4431-2378

ppgraw's People

Stargazers

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ppgraw's Issues

heteroscedasticity issue

heteroscedasticity is that the variance is not constant

recently I have read a paper about ppg signal processing,after a bunch of test ,the author say data collected from some unknown brand smart watch filtered ppg signal for different person is too heterogeneity so it is not usable.

do we need this in quality review of raw photoplethysmography (PPG) signals,
@fwolling

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