Data sets for TAPAS
This page contains sample code and data-sets to support the usage of TAPAS.
PhysIO Examples with Data
Example data for the PhysIO toolbox, as described in the manual of the PhysIO Toolbox.
Download link: PhysIOToolbox_R2016a_examples.zip.
The following datasets are available:
Courtesy of Sandra Iglesias, Translational Neuromodeling Unit, ETH &
University of Zurich
4-electrode ECG and breathing belt, Philips 3T Achieva scanner
Description: Standard example; shows how to use volume counting either
from beginning or end of run to synchronize physiological logfile with
acquisition onsets of fMRI scans.
Courtesy of Zina-Mary Manjaly, University Hospital Zurich
4-electrode ECG and breathing belt, Philips 7T Achieva scanner
Description: The ECG data for ultra-high field data is typically much
noisier than at 3 Tesla. Therefore, R-wave peaks are frequently missed
by prospective trigger detection and not marked correctly in the
logfile. This example shows how to select typical R-wave-peaks manually
and let the algorithm find the heartbeat events.
Courtesy of Diana Wotruba, University and University Hospital of Zurich
PPU (finger plethysmograph) and breathing belt, Philips 3T Achieva
Description: Similar to ECG3T, but a plethysmograph instead of an ECG
was used to monitor the cardiac pulsation. Example shows how to extract
heart and breathing rate.
- PPU (General Electric)
Courtesy of Steffen Bollmann, Kinderspital Zurich and ETH Zurich
PPU (finger plethysmograph) and breathing belt, General Electric 3T
Description: Similar to PPU, but acquired on a GE system with two
separate output logfiles for pulse oximetry and breathing amplitude,
sampled with 40 Hz. The quality of the signal is particularly
challenging, stemming from a patient population.
- ECG3T (Siemens)
Courtesy of Miriam Sebold, Charite Berlin, and Quentin Huys, TNU Zurich
4-electrode ECG data, Siemens 3T scanner
Description: Similar to ECG 3T, but acquired on a Siemens system with only one logfile for ECG data. The quality of the signal is challenging, stemming from a patient population.