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EB_ECG_Smart_Resampler
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Repository for the resampler project: The main idea is to resample an Event-Based sampled signal in a smart way (opposed to linear resampling, the currently used technique)

EB_ECG_Smart_Resampler (master)

.gitignore
LICENSE
README.md
helper_scripts/
pre_proc/
src/

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33a5ad69a17czanoli
Merge branch 'master' of ssh://c4science.ch/source/EB_ECG_Smart_Resampler 
Mar 1 2023
ec0b909399dfzanoli
git is a baaaaad 
Mar 1 2023
96b15d8d4742zanoli
Merge branch 'master' of ssh://c4science.ch/source/EB_ECG_Smart_Resampler 
Mar 1 2023
d2d2cea87cd4zanoli
FML 
Mar 1 2023
70e7da61db71zanoli
Merge branch 'master' of ssh://c4science.ch/source/EB_ECG_Smart_Resampler 
Feb 18 2022
c2d65d11b95bzanoli
minor corrections 
Feb 18 2022
b8eb117b58e5zanoli
compute srf test 
Feb 18 2022
0abaa8da62d8zanoli
Tidied the source directory, Added atwo custom scripts for templates… 
Feb 5 2022
dc92a5697bcazanoli
corrected typos in the final results computation 
Feb 2 2022
e2736b2a3ce9zanoli
Added general results computation for each level 
Feb 2 2022
01612a9eafebzanoli
Modified printing statements to be clearer 
Aug 9 2021
6e7760f922c1zanoli
found and solved a condition that stalled the delineation 
Aug 4 2021
2ed8f4f252e8zanoli
decresed the maximum time given to ecgpuwave to complete from 20 to 7: this… 
Aug 4 2021
77b84640d2d9zanoli
Improved segment warping: solving a bug that wrongly overwrote some segments… 
Aug 3 2021
4ffe136cef7bzanoli
now the time-weight in ddtw is parametrized and can be used at a param at launch 
Jul 28 2021

README.md

This is the main repository for the smart resampler project. The data for this repository can be fond here: Dataset

To run this project:

  • Make this directory the home directory for this project
  • Download the Dataset and put it inside a "./data/dataRaw" folder
  • Execute: `cd ./pre_proc`` `python3 pre_process.py [--cores used_cores]`` NOTE: by default, half of the cores will be used, the performed operations might be memory intensive so we suggest to use two or three cores
  • To check DTW results on an ECG beat run: `cd ../src`` `python3 DTW_alligment.py [--file file_name][--beat beat_to_analyze (sequential)]``

used:

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