Neurophotonics Center
BSD License
Yes
Boston University
NITRC
Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses
In order to objectively evaluate the power of methods which aim to remove confounding resting state physiological factors such as blood flow, low frequency oscillation, and breathing from fNIRS data, it is useful to have a dataset with known ground truth. In order to generate an fNIRS signal with confounding signals but also a known hemodynamic response function (HRF), real resting state fNIRS data is recorded, and a modeled HRF is added. The data also features auxilliary measurements such as accelerometer and photoplethysmography signals.
Year: 2020
Format: Snirf
Stimuli type: Resting state with synthetic HRF
DATASET 1 | DATASET 2
Aux Meas: PPG, RESP, BP, Accelerometer | Accelerometer
Num of Subj : 14 | 14
Num of Trial: 15 | 38
Age: 21 ± 2 | 32 ± 19
Sex (M/F): 11/3 | 7/5
Optode Coverage: Occipital | Fronto-parietal
LS Channel: 26 | 48
SS Channel: 2 | 8
Duration (min): 5 | 10
Sample Rate (Hz): 50 | 50
Wavelengths: 690/830 | 690/830
Acq. System: TechEn CW4 | TechEnCW5
2022-4-11
Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses - 3D information included
2020-8-14
fNIRS RESTING STATE - DATASET II
2020-8-14
fNIRS RESTING STATE - DATASET I
Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses
Optical Imaging, BSD License
http://www.nitrc.org/projects/luhmann20synhrf/