Published on 01 January 2025

Time-normalization approach for fNIRS data during tasks with high variability in duration

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Falivene, Anna;Johnson, Charlotte;Klingels, Katrijn;Meyns, Pieter;Verbecque, Evi;Hallemans, Ann;Biffi, Emilia;Piazza, Caterina;Crippa, Alessandro

Description

This dataset is related to fNIRS data that were collected during three different motor/balance control tasks in eight children (4 children with developmental coordination disorder (DCD) and 4 typically developing (TD) children).More specifically, the tasks performed are:-alternate stair touching task, where the subject taps with the feet on a stool in front of them alternately with left and right foot as fast and as controlled as possible;-leaning task, where the subject leans as far and as stable as possible sidewards while seated, without falling and keeping the feet on the ground;-walking task, where the child walks 6 meters over level ground as fluently as possible.All tasks are performed at a self-pace rithm (i.e they have all different durations) , therefore a time-normalization procedure is needed.The details about data collection and processing and time-normalization are reported in the following manuscript: Falivene, A.; Johnson, C.; Klingels, K.; Meyns, P.; Verbecque, E.; Hallemans, A.; Biffi, E.; Piazza, C.; Crippa, A. Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration. Sensors 2025

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Metrics

Dataset Index

1.8

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Statistics and Probability

Field

Mathematics

Domain

Physical Sciences

Confidence Score

31%

Source

Scholar Data Model

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00