From 5216d9de080d74e225004950dd7a06c4b6b9fc93 Mon Sep 17 00:00:00 2001 From: Florian Wolling Date: Thu, 10 Dec 2020 14:29:14 +0100 Subject: [PATCH] Update README.md --- README.md | 24 ++++++++++++------------ fig/README.md | 2 +- src/README.md | 6 +++--- 3 files changed, 16 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 90949f3..06bec4f 100644 --- a/README.md +++ b/README.md @@ -15,38 +15,38 @@ https://ubicomp.eti.uni-siegen.de/home/datasets/data20/index.html.en You may use the source code of the developed analytical tool *PPGraw* for scientific, non-commercial purposes, provided that you give credit to the owners when publishing any work based on it. We would also be very interested to hear back from you if you use our tool or metrics in any way and are happy to answer any questions or address any remarks related to it. ### Presentation Video -DATA'20 - The Quest for Raw Signals - A Quality Review of Photoplethysmography Datasets +DATA'20 - The Quest for Raw Signals - A Quality Review of Photoplethysmography Datasets
### Reference Data **REF:** MAX86140EVSYS# [data] -Reference Data: MAX86140EVSYS# +Reference Data: MAX86140EVSYS# ### Evaluated Datasets The following figures show excerpts from the reviewed datasets: Short close-up of few pulses on the left, a 30-second window in the middle, and its respective frequency spectrum (FFT) on the right. Note that the PPG-BP dataset (S05) contains only snippets of 2.1 s length. Frequency bands: very low frequency (VLF, < 0.167 Hz, red), low frequency (LF, 0.167 to 0.667 Hz, orange), and intermediate frequency (IF, 0.5 to 3.0 Hz , green) while the high frequency (HF, > 3.0 Hz) noise and harmonics are clipped. **S01:** MAXREFDES100# [Biagetti et al., data] -S01: MAXREFDES100# +S01: MAXREFDES100# **S02:** PPG-DaLiA [Reiss et al., data] -S02: PPG-DaLiA +S02: PPG-DaLiA **S03:** WESAD [Schmidt et al., data] -S03: WESAD +S03: WESAD **S04:** BloodLossSVM [Reljin et al., data] -S04: BloodLossSVM +S04: BloodLossSVM **S05:** PPG-BP [Liang et al., data] -S05: PPG-BP +S05: PPG-BP **S06:** BIDMC [Pimentel et al., data] -S06: BIDMC +S06: BIDMC **S07:** Wrist PPG During Exercise [Jarchi et al., data] -S07: Wrist PPG During Exercise +S07: Wrist PPG During Exercise **S08:** Cuff-Less Blood Pressure Estimation [Kachuee et al., data] -S08: Cuff-Less Blood Pressure Estimation +S08: Cuff-Less Blood Pressure Estimation **S09:** IEEE SPC 2015 (TROIKA) [Zhang et al., data] -S09: IEEE SPC 2015 (TROIKA) +S09: IEEE SPC 2015 (TROIKA) **S10:** IEEE SPC 2013 [Karlen et al., data] -S10: IEEE SPC 2013 +S10: IEEE SPC 2013
diff --git a/fig/README.md b/fig/README.md index 3fb95b7..ed3529d 100644 --- a/fig/README.md +++ b/fig/README.md @@ -1,4 +1,4 @@ -# fig +# Figures ### Reference Data **REF:** MAX86140EVSYS# [data] diff --git a/src/README.md b/src/README.md index c9d1a5b..0013435 100644 --- a/src/README.md +++ b/src/README.md @@ -1,11 +1,11 @@ # PPGraw -*PPGraw* is a Python tool developed for the analytical quality review of supposedly raw, unfiltered photoplethysmography signals. This directory contains an excerpt from the raw, unfiltered reference data [ref_sample.p](ref_sample.p), the Python tool itself [PPGraw.py](PPGraw.py), a Jupyter notebook [show_ref.ipynb](show_ref.ipynb) to visualize the reference signal, and a Jupyter notebook [how_review.ipynb](show_review.ipynb) that runs a quality review on the reference data and details the 7 multi-varied decision metrics. +*PPGraw* is a Python tool developed for the analytical quality review of supposedly raw, unfiltered photoplethysmography signals. This directory contains an excerpt from the raw, unfiltered reference data [ref_sample.p](ref_sample.p), the Python tool itself [PPGraw.py](PPGraw.py), a Jupyter notebook [ref_show.ipynb](ref_show.ipynb) to visualize the reference signal, and a Jupyter notebook [ref_review.ipynb](ref_review.ipynb) that runs a quality review on the reference data and details the 7 multi-varied decision metrics. * **ref_sample.p** is a Python Pickle file containing a 3-minute excerpt of the raw, unfiltered photoplethysmography reference data * **PPGraw.py** contains the Python class of the analytical tool *PPGraw* for the automated quality review of raw photoplethysmography signals -* **show_ref.ipynb** is a Jupyter notebook that visualizes the provided reference data -* **show_review.ipynb** is a Jupyter notebook that runs the quality review on the reference data and details the 7 multi-varied decision metrics +* **ref_show.ipynb** is a Jupyter notebook that visualizes the provided reference data +* **ref_review.ipynb** is a Jupyter notebook that runs the quality review on the reference data and details the 7 multi-varied decision metrics ### Download This GitHub repository provides the developed analytical tool *PPGraw*.