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Example Datasets for PhysIO
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===========================
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The following datasets are available and can be downloaded with the toolbox in a specific [`physio-examples`](https://tnurepository.ethz.ch/physio/physio-examples) repository, which can be cloned from `git@tnurepository.ethz.ch:physio/physio-examples.git`.
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The following datasets are available to explore the read-in and modeling capabilities of PhysIO. They can be downloaded by running the function `tapas_download_example_data()` in Matlab, which is located in the `misc` subfolder of the `tapas` folder you downloaded.
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Besides the raw physiological logfiles, each example contains example scripts to run physio as
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Afterwards, the examples can be found in `tapas/examples/<tapasVersion>/PhysIO` as different subfolders (`vendor/device`) and shall be run directly from within these individual folders.
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Besides the raw physiological logfiles, each example contains example scripts to run PhysIO as
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- SPM job (`*spm_job.mat`)
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- editable SPM job (`*spm_job.m`)
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- plain matlab script (`*matlab_script.m`)
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General Electric
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### PPU 3T ###
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Courtesy of Steffen Bollmann, Kinderspital Zurich and ETH Zurich
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PPU (finger plethysmograph) and breathing belt, General Electric 3T
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scanner
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Description: Similar to PPU, but acquired on a GE system with two
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separate output logfiles for pulse oximetry and breathing amplitude,
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sampled with 40 Hz. The quality of the signal is particularly
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challenging, stemming from a patient population.
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Philips
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-------
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... | ... | @@ -46,20 +64,6 @@ Description: Similar to ECG3T, but a plethysmograph instead of an ECG |
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was used to monitor the cardiac pulsation. Example shows how to extract
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heart and breathing rate.
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General Electric
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### PPU 3T ###
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Courtesy of Steffen Bollmann, Kinderspital Zurich and ETH Zurich
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PPU (finger plethysmograph) and breathing belt, General Electric 3T
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scanner
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Description: Similar to PPU, but acquired on a GE system with two
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separate output logfiles for pulse oximetry and breathing amplitude,
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sampled with 40 Hz. The quality of the signal is particularly
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challenging, stemming from a patient population.
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Siemens - VB
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-------------
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